$AVGO
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梳理玻璃基板供应链关键厂商和时间线。
关于玻璃基板(glass substrate)的时间线，这里有一些非常有用的重申信息（来源：Trendforce）： - SKC Absolics(011790)：2026年下半年，先发者，联合 $AMAT，客户包括 $AMD。 - Samsung Electro-Mechanics(009150)：2027年下半年，联合住友化学(4005)，面向 Apple / $AVGO / 超大云厂商。 至于 $INTC 2030 年，我不太确定。
原推 ↗英文原文
Just very helpful timelines reiterated around glass substrate (source: Trendforce): - SKC Absolics (011790) H2 2026 (first mover x $AMAT) - $AMD customers - Samsung electromechanics h2 2027 (009150) x Sumitomo Chem (4005) - Apple / $AVGO / hyperscalers Idk about $INTC 2030 https://t.co/zI7nD2YQpa
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认为市场误读博通CEO评论，云厂商多源化不可避免。
回复 @lousyjets：不是，人们误读了 $AVGO CEO 的评论。 总体需求是贪得无厌的，但超大云厂商不想被卡住，所以 $GOOGL 和其他公司进行多源采购是不可避免的。 博通的利润继续增长，但因为蛋糕持续变大，联发科……
原推 ↗英文原文
@lousyjets No, people are misinterpreting $AVGO CEO comments. Demand is insatiable in general, but hyperscalers don't want to be bottlenecked, so it's inevitable $GOOGL and others multi-source. Broadcom's bottom line keeps increasing, but because the pie keeps increasing, Mediatek,
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记录博通财报电话会与网络/互连长期机会。
关于 $AVGO 财报电话会的一些随手笔记： - 重申收入目标（2027年1000亿美元以上，我很确定市场原本希望这次财报上调这个目标，所以股价下跌）。 还记得 $NVDA 黄仁勋关于 $MRVL 围绕网络/连接/互连成为1万亿美元公司的评论吗？ - ……
原推 ↗英文原文
Just some random notes about $AVGO earnings transcript - Revenue target reiterated ($100B+ 2027, pretty sure markets wanted that to be raised this earning, hence the drop) Remember $NVDA Jensen comments about $MRVL $1T company around networking/connectivity/interconnects? - https://t.co/JRiucvNnqc
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暗示某光子学玩家成为CPO/可插拔/SiPH标准激光器。
一家公司的整个历史中最具后果的事件。 今天由一家光子学玩家发布。 这让它成为 CPO、可插拔和 SiPH 的功能性标准激光器。 适用于使用该代工厂的 $NVDA、$AVGO、$AMD 到 $MRVL 等公司。 有人知道名字吗？
原推 ↗英文原文
The most consequential event of an entire company’s history. Got released today with a photonics player. Making them the functional standard laser for CPO, Pluggables, and SiPH. For companies like $NVDA, $AVGO, $AMD, to $MRVL using the foundry. Does anyone know the name?
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称GFS新闻比SIVE+JBL更根本，因为默认嵌入参考设计。
回复 @wangxindian @StormDirac：我不确定人们是否已经意识到这条 $GFS 新闻对 $SIVE 的重大意义。 它在基本面上可能比 $SIVE + $JBL 更具开创性。 因为 $AVGO、$MRVL、$NVDA 或任何通过 GFS 硅光子的公司，都会默认把 $SIVE 嵌入参考设计。
原推 ↗英文原文
@wangxindian @StormDirac I’m not sure people realize the gravity of this news with $GFS yet. It’s probably more fundamentally groundbreaking than $SIVE + $JBL. As $AVGO, $MRVL, $NVDA or anyone who goes through GFS silicon photonics has $SIVE embedded in the reference as default.
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谷歌为AI资本开支融资，利好上游生态。
我从没想过会看到 $GOOGL 需要为 AI 资本开支融资800亿美元的这一天…… 然后沃伦·巴菲特的 $BRK.A 在为超大云厂商 AI 建设提供资金。 - 400亿美元 ATM、300亿美元发行、伯克希尔100亿美元 从 $LITE 到 $AVGO、联发科、$TSM、$MU 的上游生态应该会一路受益。
原推 ↗英文原文
I never thought I’d see the day where $GOOGL needs to raise $80b for AI capex… Then Warren Buffet’s $BRK.A is funding the hyperscaler AI buildout. - $40B ATM, $30B offerings, Berkshire $10B Upstream ecosystem from $LITE to $AVGO to Mediatek to $TSM to $MU should go brrr. https://t.co/CxvctNZyMC
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调侃特朗普大额持有Kura Sushi。
Donald Trump 显然做多寿司。 我真觉得总统持有 Kura Sushi（$KRUS，约6亿美元市值）很大比例股权这件事很好笑。 在从 $AVGO 到 $NVDA 的所有东西中。 如果 Trump 真的买了500万美元，他将持有我最喜欢的美国寿司连锁之一约0.8%。 我没有开放仓位……但我喜欢总统买下寿司餐厅这个想法。
原推 ↗英文原文
Donald Trump is apparently long Sushi. I genuinely find it hilarious the President took a large % ownership of Kura Sushi ( $KRUS, ~$600m MC). Among everything from $AVGO to $NVDA. If Trump did buy $5M worth, the president would own close to ~.8% of one of my favorite US Sushi Chains. Don't have any open positions... but I do love the idea of our President buying up Sushi restaurants.
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爆料 Shunsin 拿下 AVGO 的 CPO/SiPH 订单
我错过了一篇很有意思的报道：Shunsin（6451）拿到了 $AVGO 的 CPO / SiPH 订单…… 而且他们的 EPS 增长率可能会超过 1240%。 当然这还是保密内容，媒体也只是猜测。 但这也说得通：你们那些顶级玩家都用 Foxconn 做光学封装 / 测试。 https://t.co/aqnUQEQdYS
原推 ↗英文原文
Interesting report that I missed that Shunsin (6451) landed $AVGO CPO/SiPH orders… And their EPS growth rate could reach over 1240%. Of course this is confidential and is media speculation. But makes sense that all your top players use Foxconn for optical packaging/test. https://t.co/aqnUQEQdYS
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用 napkin math 算 Nextronics 的 CPO 价值
所以这是我在做多 Nextronics（8147）时做的便签纸计算。 他们是 $NVDA 的 CPO 供应商，供应 CPO connectors 和 cage thermal modules。 我按 2028 年的前瞻市盈率大概算了 2 倍，这也是我认为它有望在 2028 年重估到约 20 亿美元以上市值、具有很强风险回报的原因。 只看它的 CPO 暴露： -> CPO connector 大概 15 到 25 美元 -> ELS thermal cages 估计约 50 美元 每个 switch 18 个单元：18x50 = 900 美元 CPO Connectors：每个 switch 72 个 optical engines，72 x 15 = 1080 美元 （如果 $NVDA 扩到 Spectrum-X switch，这个数会到 1920 美元） Total Nextronics Content：大约 1980 美元（保守算成 2000 美元） 这意味着 BOM 只占 rack 的 0.08%，大概只占 switch 的 1.5%。 机构眼里这太小了，所以大概率被忽略。 但对 Nextronics 这家约 2 亿美元的公司来说，这很重要吗？ 当然，绝对很重要。 我算的时候把 Nextronics 在 Nvidia connector/cage 市场的份额打了 50% 折扣，因为存在多供应商。 并且我用的是 GS 的预测，再假设 $AVGO、$MRVL、ASIC CPO 生态的规模只有 $NVDA 的 30%。 净利润率：22.4%（GM 38% 时）到 24.0%（GM 40% 时）。 但如果按其他预测，只看 rack shipment： 2026：CPO revenue 约 1010 万，净利润（22.4%）约 226 万 + 基础业务 1250 万 = 1470 万（540k 单元是 connectors，40k 单元是 cage，且已除以 50%） 2027：CPO revenue 约 1.72 亿，净利润（22.4%）约 3853 万 = 5103 万（约 800 万单元 connectors，103 万单元 cage） 2028 scale up 扩张：CPO revenue 约 4.5 亿，净利润约 1.0093 亿，基础业务约 1130 万（约 4000 万单元 connectors，298 万单元 cages，例如 Nvidia ELS 量是 1990 万） 所以前瞻市盈率大概是 2026 年 15.4 倍，2027 年 4.45 倍，2028 年 2 倍。 当然，放量后综合毛利可能会下降，也可能会有别的玩家把份额稀释到 25% 左右，预测也可能比 GS 更高或更低。 但不管怎样，哪怕我偏差 50%，这仍然极具不对称性。 2028 年通常是 CPO 玩家大重估的一年，2026 年其实还很早。 希望我算得对，但 20x 的前瞻市盈率会对应 22.6 亿美元市值。 即便我们把： -> 市占率降到 15%。 -> 净利润率压到 14%。 -> connector ASP 降到 10 美元。 按 20x 倍数，股价仍然能有大约 4.5 倍回报，市值超过 10 亿美元。 我们走着看吧。（NFA，只是投机性财务建模）
原推 ↗英文原文
So here's the napkin math I did on Nextronics (8147) when I went long. They're the $NVDA CPO supplier for CPO connectors and cage thermal modules. And I modeled around 2 FWD p/e for 2028, which is why I think risk-reward is very compelling for a potential 10x rerating to ~$2B+ MC in 2028. Just for their CPO exposure: -> CPO connector runs roughly $15 to $25 -> ELS thermal cages, maybe ~$50 from est. 18 units per switch: 18x50 = ~$900 CPO Connectors: 72 Optical Engines per switch 72 x $15 = $1,080 (If $NVDA scales their Spectrum-X switch, it goes to $1,920 for CPO connectors). Total Nextronics Content: ~$1,980 (rounded to $2k for calculations) in conservative case. Implied BOM % of rack: 0.08%. Maybe ~1.5% of switch. This looks microscopic to institutions so it probably is ignored. Is it material to Nextronics, a ~$200m company? Yes, absolute massive. For calculations: Applying 50% haircut to Nextronics' share of the Nvidia connector market/cage market because of multi-source. And I’m using GS projections, and assuming $AVGO, $MRVL, ASIC CPO ecosystem is 30% size of $NVDA. Net Income Margin: 22.4% (at 38% GM)- 24.0% (at 40% GM). But going off other projections from just, a rack shipments: 2026: CPO revenue ~10.1M, net income (22.4%) ~2.26M + $12.5M base = $14.7M (540k units for connectors, cage, 40K units, already divided by 50%) 2027: CPO revenue: ~$172M, net income (22.4%): ~$38.53M = $51.03M (~8M units for connectors, ~1.03M units for cage) 2028 scale up expansion: CPO revenue: $450m, net income: $100.93M, ~$11.3M base (~40M units for connectors, 2.98M unit for cages, eg. Nvidia ELS volume is 19.9M) So implied fwd p/e 15.4x for 2026, 4.45x for 2027, 2x for 2028. Of course at scale, blended margins might go down, there might be other players bringing market share down to like 25%, etc. and projections might be more or less than GS. But regardless seems highly asymmetrical even if I'm off by a whole 50%. 2028 is usually the massive re-rating for CPO players, 2026 is still really early. Hope my math is right, but 20x fwd p/e multiple would be $2.26B MC. Even if we drop: -> market share to just 15%. -> compress their net income margin down to 14%. -> connector ASP to $10. At a 20x multiple, the stock would still achieve a ~4.5x return to a $1B+ market cap. We'll see if this is right or not. (NFA, just speculative financial modeling)
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高盛看好AI驱动光通信供应链，多环节供应商名单汇总
如果你对高盛的报告感兴趣： 他们预期以下领域会出现"显著的每股收益(EPS)增长"： 1. 光学模块和引擎 2. 连续波(CW)激光器和电吸收调制激光器(EML) 3. 印制电路板(PCB)/覆铜板(CCL)制造商 以下是这份超详细清单： 激光器/光源(硅光子SiPh)：Sumitomo、Furukawa(5801)、Landmark(3081)、YJ Semi、$LITE、$COHR、$AVGO、Etern、曙光光电(https://t.co/hrQbVE0QlT)、世嘉光子(https://t.co/HvJVCM7BMm)、应用光电(AAOI)、Accelink、三菱电机(6503) 激光器/光源(EML)：Lumentum(LITE)、Coherent(COHR)、博通(AVGO)、YJ Semi、永恒光电(Etern)、住友电工(5802)、曙光光电、世嘉光子、Source Photonics(私营)、三菱电机(6503)、Accelink、古河电气(5801) 无源光学组件-耦合器/分路器：FOCI(3363)、Senko(私营)、AFR、Everprox、Lumentum(LITE)、Coherent(COHR) 无源光学组件-滤波器：世嘉光子、住友电工(5802)、Lumentum(LITE)、Coherent(COHR)、唯亚威(VIAV)、FOCI(3363) 无源光学组件-衰减器：Everprox、Accelink、FOCI(3363)、Lumentum(LITE) 无源光学组件-波分复用(WDM)：AFR、Everprox、Accelink、Ciena(CIEN)、TFC Optical、Lumentum(LITE)、FOCI(3363)
原推 ↗英文原文
If you're curious about Goldman's Report: They expect "significant EPS upside" among: 1. Optical modules and engines 2. CW lasers and EMLs 3. PCB/CCL manufacturers Here's the massive cheat sheet: Laser / Light Sources (SiPh): Sumitomo, Furukawa (5801), Landmark (3081), YJ Semi, $LITE, $COHR $AVGO, Etern (https://t.co/Rgl8i5e7N4), Everbright Photonics (https://t.co/hrQbVE0QlT), Shijia Photons (https://t.co/HvJVCM7BMm), Applied Optoelectronics (AAOI), Accelink (https://t.co/OjlKPLtkA4), Mitsubishi (6503.T) Laser / Light Sources (EML): Lumentum (LITE), Coherent (COHR), Broadcom (AVGO), YJ Semi (https://t.co/qWTYoY2y6z), Etern (https://t.co/Rgl8i5e7N4), Sumitomo Electric (5802.T), Everbright Photonics (https://t.co/hrQbVE0QlT), Shijia Photons (https://t.co/HvJVCM7BMm), Source Photonics (Private), Mitsubishi (6503.T), Accelink (https://t.co/OjlKPLtkA4), Furukawa (5801.T) Passive Optical Components - Couplers / Splitters: FOCI (3363.TWO), Senko (Private), AFR (https://t.co/v8bWvYaSCp), Everprox (https://t.co/PgwoMVPleI), Lumentum (LITE), Coherent (COHR) Passive Optical Components - Filters: Shijia Photons (https://t.co/HvJVCM7BMm), Sumitomo Electric (5802.T), Lumentum (LITE), Coherent (COHR), Viavi (VIAV), FOCI (3363.TWO) Passive Optical Components - Attenuators: Everprox (https://t.co/PgwoMVPleI), Accelink (https://t.co/OjlKPLtkA4), FOCI (3363.TWO), Lumentum (LITE) Passive Optical Components - WDM: AFR (https://t.co/v8bWvYaSCp), Everprox (https://t.co/PgwoMVPleI), Accelink (https://t.co/OjlKPLtkA4), Ciena (CIEN), TFC Optical (https://t.co/fjsjeuQxcq), Lumentum (LITE), FOCI (3363.TWO)
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CPO市场将迎抛物线式增长，是最佳早期布局机遇
以防你们想知道我为什么对CPO（共封装光学）如此看好。比如$SIVE（激光器）、Shunsin（封装）、MSSCorps（良率）、Win Semi/$TSEM（晶圆代工）。\n\n"CPO市场预计从2026年到2030年将以142%的复合年增长率强劲增长（不含ELS）"\n\n"规模扩展CPO细分市场预计将在2030年前超过规模扩展应用，成为主导市场。\n\n未来几年将呈现近乎抛物线式的增长。\n\n许多像Sivers这样的厂商之前对800G可插拔光模块几乎没有实质性敞口，但却是CPO领域最前沿的激光器供应商领导者。\n\n这是由$NVDA和$AVGO驱动的下一代光学超级周期中最好且最早的机遇之一。
原推 ↗英文原文
Just in case you’re wondering why I’m so bullish on CPO. Like $SIVE (Lasers), Shunsin (Packaging), MSSCorps (Yields), Win Semi / $TSEM (Foundry). “The CPO market is projected to grow sharply by a 142% CAGR from 2026 to 2030 (excl. ELS)” “The scale-up CPO segment is projected to surpass scale-out applications before 2030 and become the dominant market. You have almost parabolic growth over the next few years. With many players like Sivers having no material exposure to previous 800g pluggable optics but are the bleeding edge leaders of CPO as the laser supplier. This is one of the best and earliest opportunities of the next optical supercycle for an architecture driven by $NVDA and $AVGO.
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MSSCorps 在 CPO 检测上像垄断
我现在做多 MSSCorps（6830），市值大约 14 亿美元。 这看起来像是 CPO 检测环节的功能性垄断。 但市场可能把它和材料/失效分析混淆了，后者更像 MA-tek 和 iST 那样的寡头格局。 按客户映射来看： 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC 还有很大概率包括 $AVGO、联发科、三星、$MRVL 等等（他们也提到了欧盟）。 如果你感兴趣： - 台北时报把 TSM 说成是客户，Msscorps 为其提供先进材料和失效分析，还点名了苹果、英伟达、Lam、AMAT（也感谢 Latent 和我一起做尽调。英伟达那边还有通过 LinkedIn 之类看到的其他供应链关系） - 对 $AMSL 而言，《台北时报》在 2024 年 9 月 10 日写到：“ASML 采用了 Msscorps 超高灵敏度的光刻胶材料分析” - 对英特尔来说，材料分析实验室 MSSCORPS 已经拿下了英伟达和英特尔等大厂的订单（工业技术研究院） 至于检测（非破坏性红外漏检），他们几乎是垄断。 而且他们还积极使用诉讼（比如 Enli Tech 诉讼）来挡住竞争对手，我把这看成正面因素。 这带来了巨大的定价权和收益率，而且每个主要玩家都要经过他们。 CPO 检测市场也极其关键，和 $AXTI 在 InP 基板环节一样，这种巨大卡点具有纯粹的定价权和提价能力。 风险在于专利诉讼不一定按计划推进，但英伟达和其他超大规模云厂商大概率不会在 MSSCorps 赢了之后去找别家，因为他们不想承担风险。 所以这本身就构成了一个多年期的巨大优势。 超大规模云厂商不会等一个新兴竞争对手证明自己能赢再行动，也不会愿意承担这个风险。 我确实看到了 MSSCorps 因为在 CPO 的关键良率卡点上有机会重估，所以我选择做多（非投资建议，自己做功课），这就是我的思路。
原推 ↗英文原文
I am now long MSSCorps (6830) ~$1.4B MC This appears to be a functional monopoly in CPO for inspection. But markets might have conflated that with Material/Failure Analysis with MA-tek and iST (oligopoly). For customers from mapping: 1. $TSM 2. $NVDA 3. $AAPL 4. $AMAT 5. $LRCX 6. $ASML 7. $INTC And high probability $AVGO, MediaTek, Samsung, $MRVL, and others (they did mention EU too). If you're curious: - Taipei times names TSM as a client that Msscorps provides them with advanced material and failure analysis and name drops Apple, Nvidia, Lam, AMAT (also S/O to Latent for doing DD with me on this. there's other supply chain relationships to Nvidia through things like linkedin) - For $AMSL, Taipei Times, Sept 10, 2024 "ASML adopted Msscorps' ultra-sensitive materials analysis of photoresists" For Intel - Material analysis lab MSSCORPS has secured orders from major manufacturers such as Nvidia and Intel (Industrial Technology Research). For inspection (non-destructive infrared (IR) leakage detection), they're a monopoly. And have aggressively used litigation (like the Enli Tech lawsuit) to lock out rivals, which I view as a positive thing. This creates massive pricing power with yields and every major player goes through them. CPO inspection market is also extremely critical and like $AXTI in the InP substrate section, this massive chokepoint has pure pricing power with price hikes. The risk is the patent suit doesn't go as plan, but Nvidia and other hyperscalers aren't likely to go with other parties in case MSSCorps wins, so this creates a massive multi-year advantage anyway. Hyperscalers aren't going to wait to see how an emerging competitor is going to win or not + take the risk. I do see the massive re-rating potential with MSSCorp holding a critical yields chokepoint over CPO, so I went long (NFA, DYOR), this is just my thought process.
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Win Semi 是 HBM4 量产核心
所以 $SIVE 不负责产能扩张，真正负责量产爬坡的是 Win Semi。 Win 的体量非常大。$AVGO、$LITE、$QCOM、联发科、$MTSI、$NXPI 全都在用他们。 他们也在 $AAPL 和 SpaceX 的供应链里。所以只要你锁定 Win 的产能，超大规模云厂商的量产放量就是可去风险的。
原推 ↗英文原文
So $SIVE doesn't handle capacity scaling, Win Semi does volume ramp. Win is massive. $AVGO, $LITE, $QCOM, Mediatek, $MTSI, $NXPI, all use them. They're in $AAPL, SpaceX supply chains too. So volume scaling for hyperscalers is derisked if you secure allocation and do it through Win.
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SIVE 估值与客户映射
我现在给 $SIVE 的估值是 20 亿美元以上，并且认为它们明年能到 100 亿美元以上……2028 年还会更多。 它们在量产爬坡前可能已经有的用户： - $AMD CPO | $GFS - $MRVL CPO | $POET - $JBL 1.6T 光模块 - $AAPL 硅光 - $POET - Ayar - AlChip | Ayar - GUC | Ayar - O-Net ELS 还不算其他未确认的名字。 对一家 11 亿美元估值的激光公司来说，这简直离谱。甚至还没算上 TAM 扩张，比如新的超大规模云厂商客户，或者 $GOOGL / 三星跟着苹果走。 而且……“执行不确定性”其实已经被转嫁给 Win Semi，也就是 $AVGO 的代工方，所以这件事很让人安心。
原推 ↗英文原文
I value $SIVE $2B+ today, and think they can hit $10B+ next year... and more in 2028. Their likely existing users before volume ramp: - $AMD CPO | $GFS - $MRVL CPO | $POET - $JBL 1.6T Optical Transcivers - $AAPL Silicon Photonics - $POET - Ayar - AlChip | Ayar - GUC | Ayar - O-Net ELS Not including other unconfirmed ones. This is unholy coming from a laser company at a $1.1B valuation. And not even considering TAM expansion like new hyperscaler customers or $GOOGL / Samsung following Apple. Also... "execution uncertainty" is literally just passed along to Win Semi, the foundry for $AVGO, so this is chilling.
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Win Semi 让 SIVE 放量去风险
@Sopcaja 不，因为 $SIVE 的量产爬坡已经被 Win Semi 去风险了，这是我另一个多头。 Win 是 $AVGO 以及现有 SpaceX / 超大规模云厂商供应链的代工厂，所以它非常可靠。
原推 ↗英文原文
@Sopcaja No, because $SIVE volume ramp is de-risked by Win Semi, my other long. Win is the foundry for $AVGO and existing SpaceX/Hyperscaler supply chains, so it's heavily dependable.
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两周等权收益回顾
先放这儿…… 如果等权计算，两周回报会是 +15.02%。 在 30 只不同股票上……大多是中大盘。 1. $INTC +29.62% 2. $MRVL +40.95% 3. $TSM +4.72% 4. $COHR +18.9% 5. $RKLB +26.76% 6. $DRAM +12.29% 7. $AVGO +18.32% 8. $AMZN +9.17% 9. $ARM +36.6% 10. $TSEM -1.25% 11. $IBIT +7.68% 12. $NBIS +15.22% 13. $GOOGL +6.41% 14. $AMKR +32.25% 15. $HOOD +19.14% 16. $CRCL +17.58% 17. $META +4.9% 18. $LITE -5.28% 19. $LPTH +20.23% 20. $FN +11.54% 21. $JBL +15.45% 22. $MP +17.48% 23. $HIMS +42.53% 24. $SMTC +18.83% 25. $POWL +9.26% 26. $VPG +17.44% 27. $MOG.A -3.96% 28. $MSFT +11.44% 29. $CVX -1.47% 30. $XLU -2.29% 显然时间周期很短，但我预计这些里面很多还会继续上涨。 如果你在特定名字的下跌时点位进场，而不是一口气同时做多，结果可能会更高。 也不算差吧？
原推 ↗英文原文
Just putting out there... Would have been +15.02% in 2W equal-weighted return. On 30 different stocks... mostly medium-large cap. 1. $INTC +29.62% 2. $MRVL +40.95% 3. $TSM +4.72% 4. $COHR +18.9% 5. $RKLB +26.76% 6. $DRAM +12.29% 7. $AVGO +18.32% 8. $AMZN +9.17% 9. $ARM +36.6% 10. $TSEM -1.25% 11. $IBIT +7.68% 12. $NBIS +15.22% 13. $GOOGL +6.41% 14. $AMKR +32.25% 15. $HOOD +19.14% 16. $CRCL +17.58% 17. $META +4.9% 18. $LITE -5.28% 19. $LPTH +20.23% 20. $FN +11.54% 21. $JBL +15.45% 22. $MP +17.48% 23. $HIMS +42.53% 24. $SMTC +18.83% 25. $POWL +9.26% 26. $VPG +17.44% 27. $MOG.A -3.96% 28. $MSFT +11.44% 29. $CVX -1.47% 30. $XLU -2.29% Obviously short timeframe, but I expect many of these to keep going up more. And probably would have been higher if you time the drop on specific names, rather than going long all at once. Not too shabby?
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Win Semi 替 SIVE 做量产爬坡
@B_Funk_ Win Semi 负责给像 $SIVE 这样的公司做量产爬坡。Win 体量很大，而且是 SpaceX 供应链和 $AVGO 的代工厂。
原推 ↗英文原文
@B_Funk_ Win Semi hands volume ramp for companies like $SIVE. Win is massive and is the foundry for SpaceX supply chains and $AVGO.
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SIVE 终局映射很夸张
$SIVE 可能在 2027-2028 年映射到的所有超大规模云厂商，光按 9 亿美元市值来看就已经夸张了。 市场根本不懂接下来会发生什么。 从推测性映射来看： > $SIVE -> $POET -> $MRVL -> 1. $AMZN（来自 Celestial 的光子 fabric 采购协议 / warrants） 2. $MSFT（maia） 3. $GOOGL（最近和 Marvell 的开发对话） $SIVE 为 Poet Starlight / 光学 interposer 提供激光，而且几天前 Poet 的 CFO 也确认他们正在给 Marvell 供货。 > $SIVE -> $POET -> “其他超大规模云供应商的 NDA” 1. 西方超大规模云厂商 > $SIVE -> $JBL（1.6T LRO）-> 1. $META（Jabil 承接了 $INTC 的硅光遗产，对应 Meta LRO 项目） 2. $NVDA（NVIDIA 可能把光模块 OEM 出去）-> $MSFT | AWS | 其他超大规模云厂商 $SIVE 是 $JBL 1.6T 光模块已确认的激光源。 > $SIVE -> Ayar（上个月为了量产爬坡融资 5 亿美元） -> 1. Alchip（联合 CPO） 2. Intel 3. GUC/Wiwynn -> $AMZN（Alchip） -> $AMD（来自 $GFS 合作的 CPO）也有可能。 $SIVE 已知是 Ayar 的激光供应商，而且 Ayar 最近把 $MTSI / $LITE 从网站上删掉了。现在只显示 $GFS + $SIVE，这很可能说明 Sivers 是主要激光供应商。 既然 $GFS x $AMD 最近合作了，那如果 AMD 走 Ayar 路线，Sivers 就可能成为其 CPO 项目的核心激光供应商。 > $SIVE -> Enablence -> O-Net（大型亚洲 OEM）-> 亚洲超大规模云厂商 1. $AVGO ELS（可能） 2. $META 和 $GOOGL ELS 3. ByteDance（可能）-> ELS 4. Tencent（可能）-> ELS 5. Alibaba（可能）-> ELS $SIVE 和 O-Net / Enablence 在 OFC 附近有 ELS 合作关系。 Sivers 激光由 Win Semi 之类的代工厂大规模生产……而且在最近的图片展示里，它们也验证在 $GFS 的 CPO 供应链中。 这不是在看 Sivers 今天靠认证收入能指引多少，而是未来每一个西方 / 亚洲超大规模云厂商在 2027、2028、2029 及以后对 CPO / 1.6T 的需求所对应的营收。 $SIVE 看起来是市场上最不被了解、但还没被真正反映出来的光子股票之一。
原推 ↗英文原文
All the hyperscalers $SIVE likely ends up in 2027-2028 is staggering at a $900m MC. Markets don't understand what's coming. From speculative mapping: > $SIVE -> $POET -> $MRVL -> 1. $AMZN (purchase agreement/warrants with photonic fabric from celestial) 2. $MSFT (maia) 3. $GOOGL (recent development talks with Marvell) $SIVE powers Poet Starlight/optical interposers, and Poet's CFO confirmed they're supplying to Marvell few days ago. > $SIVE -> $POET -> "NDAs other hyperscaler suppliers" 1. Western Hyperscalers > $SIVE -> $JBL (1.6T LRO)-> 1. $META (Jabil $INTC SiPH inheritance, maps to Meta LRO program) 2. $NVDA (NVIDIA possibly OEMs optical transceivers) -> $MSFT | AWS | hyperscalers $SIVE is the confirmed laser source for $JBL 1.6T optical transceivers. > $SIVE -> Ayar ($500m fundraiser last month for volume ramp) -> 1. Alchip (Joint CPO) 2. Intel 3. GUC/Wiwynn -> $AMZN (Alchip) -> $AMD (CPO from $GFS partnership) possible. $SIVE is known laser supplier to Ayar, and Ayar removed $MTSI / $LITE from their website recently. Only showing $GFS + $SIVE, likely showing Sivers was primary laser supplier. As $GFS x $AMD partnered up recently, that makes Siver a possible core laser supplier for $AMD's CPO program if they go with Ayar. > $SIVE -> Enablence -> O-Net (massive Asian OEM)-> Asian Hyperscalers 1. $AVGO ELS (possible) 2. $META and $GOOGL ELS 3. ByteDance (possible) -> ELS 4. Tencent (possible) -> ELS 5. Alibaba (possible) -> ELS $SIVE ELS partnership with O-Net/Enablence around OFC. Sivers lasers is mass produced by foundries like Win Semi... and they're validated in $GFS CPO supply chains too from their recent image presentations. It's not about what Sivers is forecasting today from qualification revenue that everyone models off of. Alpha comes from future revenue proportional to demand from every Western/Asian hyperscaler for CPO/1.6T in 2027, 2028, 2029, and onward. $SIVE looks like one of the most unknown photonic stocks on the market that's yet to come.
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欧盟小盘股是防卡点外溢
我有理由重点关注欧盟小盘股。 这是我还没公开讲过的投资 thesis。 我也希望大家愿意花时间读一下： 从 $ALRIB（量子 / MBE）、$LPK（玻璃基板）、$SIVE（DFB 激光），或者像 Nippon Chemical 这样的亚洲公司都包括在内。 这是为了防止敌对势力接管或破坏美国所需的关键卡点。 欧洲的 FiconTEC（虽然是私营公司）就是一个例子，被和中国中共有关联的公司收购了。 我甚至不确定这在法律上怎么会被允许，德国应该 100% 把它从中国手里收回来。 它们几乎垄断了 AI 和 LIDAR 所需的 CPO / SiPH 测试环节。客户里包括 $NVDA、$TSM、$AVGO 和 $INTC 这类最关键的 AI 和半导体公司。 随着时间推移，这种收购之后，大量知识产权和技术 IP 流向中国的可能性很高，而且他们会对美国供应链拥有更多控制。 如果有足够的美国持股和足够的关注，我们的处境会比现在好得多，也不会有隐藏的中共持股 / 接管问题。 否则，我们在美国供应链上就会有更多后门，就像 $AXTI 和 InP 基板那样（如果我们现在没有建立独立产能的话）。 欧盟允许上游供应链卡点（比如专门测试或基板制造）被地缘政治对手买走，或者把 IP 转移过去。 而美国可能还没有意识到这些脆弱性。 这已经是我作为散户能尽到的最大努力了。 未来政策制定者会注意到这些，并在这些草根（散户）自下而上的推动中，阻止这种事情发生。
原推 ↗英文原文
There's a reason I spotlight EU small caps. This my investment thesis that I haven't publicly stated yet. And I hope people spend the time to read: From $ALRIB (quantum/MBE), $LPK (glass substrate), or $SIVE (DFB Lasers). Or even Asian names like Nippon Chemical. It's to prevent hostile actors from taking over or disrupting critical chokepoints required by America. FiconTEC (Europe) as one example (though private) was acquired by Chinese CCP affiliated companies. Not even sure how this was legal and Germany should 100% seize it back from China. They were a quasi-monopoly over testing for CPO/SiPH needed for AI and LIDAR. It's clients include the most critical players in AI and semiconductors, such as $NVDA, $TSM, $AVGO, and $INTC. Over time, significant intellectual property and technological IP transfer to China is highly likely after these acquisitions and they'll have more control over US supply chains. With enough American ownership enough spotlight on these companies: we would be in a worse shape with hidden CCP ownership/takeovers. Or we would have more backdoors on American supply chains like with $AXTI and InP substrates (if we weren't building up independent capacity now). The EU has allowed upstream supply chain chokepoints (like specialized testing or substrate manufacturing) to be bought out or have their IP transferred by geopolitical rivals. While America still not might realize a lot of these vulnerabilities. This is the most I can do as a retail investor to prevent this from happening. Eventually policymakers will pay attention and prevent this from happening if all the movement happens from grassroots (retail) and bottom up.
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Win Semi 去风险 SIVE 扩产
@JerryOBrie16396 Win Semi 负责 $SIVE 的量产爬坡。 而 Win 早就是 $AVGO 和 SpaceX 供应链里一个很大的、成熟的代工厂，所以这部分扩产已经去风险了。
原推 ↗英文原文
@JerryOBrie16396 Win Semi handles volume ramp for $SIVE. And Win is a massive established foundry for $AVGO and SpaceX supply chains already. So that scaling is de-risked.
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SIVE 供应链里很多都很强
我一直在告诉大家…… $SIVE 供应链里有很多东西都很有吸引力，适合做多。 Win Semi（3105）一天涨 10%，然后涨停。 虽然它们显然是为 $AVGO 或 SpaceX 供货，但光子学爬坡是由 $NVDA 领头，随后是 $GOOGL、$AMZN、$MSFT。 这会让光子学成为 Win 的一个巨大增长引擎。
原推 ↗英文原文
I'm telling you all... Lot of stuff in the $SIVE supply chains make very compelling longs. Win Semi (3105) just goes up 10% a day then halts trading after hitting its max. Obviously they do things for $AVGO or SpaceX, but photonics ramp spearheaded by $NVDA and followed by $GOOGL, $AMZN, $MSFT Would make photonics a massive growth vector for Win.
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在光子学超级周期中做多整条CPO/1.6T供应链，推荐SIVE/Shunsin/Win Semi/MRVL/HPS.A五只标的
在更广泛的光子学超级周期中，提前布局1.6T/共封装光学(CPO)对我来说是最具吸引力的投资。我对这个观点有很高的信心。这就是为什么我做多整条供应链（外加一个额外瓶颈）： 1. $SIVE - 他们的激光收入随着$JBL、$MRVL、Ayar、O-Net大幅增长。而且我确实认为CPO/1.6T将远超任何保守的分析师预期，因为$NVDA、$GOOGL等公司大力推动光子学架构。下行风险是多源采购，但Jabil选择Sivers是有原因的。当你比较$MTSI、$LITE、$COHR、古河电工等公司时，全球范围内真正强大的激光供应商屈指可数...它们的市值都超过100亿美元，然后你有这个类似小型芯片法案的瓶颈，市值还不到10亿美元。 2. Shunsin（6451）- 我不明白为什么Foxconn的光学代工厂（用于测试、封装和组装）的估值比$LWLG低15亿美元市值。考虑到他们通过Foxconn的光子学规模显得非常去风险化。$TSM的光学部门VisEra估值约50亿美元，但他们从第三代在2028年下半年才能扩大产能。Foxconn看起来明年就要开始提升产能。他们只是基于$NVDA CPO供应链在台湾的需求以低远期市盈率倍数增长，所有公开指标都指向产能扩张和极端需求。 3. Win Semi - 他们是Sivers扩大DFB激光生产的代工厂，以及$AVGO、SpaceX供应链等的代工厂。当我做供应链映射时，Win Semi在我看到的每个前沿供应链中都出现了。市场可能有一些东西没有定价。 4. $MRVL - 我觉得作为小型Broadcom真的很吸引人。他们今天与$GOOGL的潜在设计有助于2028年后的业务案例。但我关注的催化剂是$MSFT Maia的提升，发生时间是2026年下半年，并可能在2027、2028、2029年持续指数级增长。Celestial收购对他们来说可能是世界上最明智的决定。也许在下次回调或CSP时买入？ 5. $HPS.A - 变压器/开关设备是数据中心供应链中的商品和平淡的部件。然而，当瓶颈是2-5年，且订单积压增长超过100%...导致极端短缺时。自从我发帖以来只涨了20%以上，但我确实看到去风险化，考虑到大量订单积压的可见性（即使它是推断的，他们不给出确切数字）。我确实认为市场错过了一些东西，特别是如果他们成功实施价格上涨，潜在的毛利率扩张....同样，订单积压加需求只是为公司去风险，而且看起来像是去年设施扩张后的高增长复合器。 还有很多其他我非常喜欢的如$NBIS、$JBL、$RPI、$TSEM、$LITE、$ARM、$SOI、$AXTI、$IQE、$ALRIB、Fittech、PCL等，但我只是从脑海中随口提到5个从今天的价格...如果我要创建一个新投资组合。当然，与其他与AI供应链不相关的公司进行杠铃式配置是好的，但这些只是我喜欢的5个。
原推 ↗英文原文
Frontrunning 1.6T/CPO within the broader photonics supercycle is the most compelling investment to me. I have high conviction in that statement. Which is why I'm long the entire supply chain (+1 extra bottlenecK) 1. $SIVE - Their laser revenue scales aggressively with $JBL, $MRVL, Ayar, O-Net. And I do think CPO/1.6T will blow away any conservative analyst projections from how hard $NVDA, $GOOGL, and others have been pushing photonics architectures. Downside risk is multi-sourcing, but there's a reason Jabil chose Sivers. When you compare $MTSI, $LITE, $COHR, Furukawa, and others. There's genuinely not many laser suppliers in the entire world... they're all $10B+, then you have this mini CHIPS act chokepoint trading at <$1B MC. 2. Shunsin (6451) - I don't see how it's possible Foxconn's optical foundry for testing, packaging, and assembly is valued at $1.5B MC less than $LWLG. When they look extremely derisked piggybacking off of Foxconn's photonics volume. $TSM's optical arm VisEra example is ~$5B, but they scale H2 2028 from Gen-3. Foxconn looks to be ramping up just next year. They're just scaling low fwd p/e multiples off of $NVDA CPO supply chain demand in Taiwan and all public indicators point to capacity expansion + extreme demand. 3. Win Semi - They're the foundry for Sivers to scale up DFB laser production. As well as $AVGO, SpaceX supply chains and others. When I do supply chain mapping and Win Semi pops up in every single frontier supply chain I see. There's probably something markets are not pricing in. 4. $MRVL - I find this genuinely compelling as a mini-Broadcomm. Their potential design with with $GOOGL today, helps the case past 2028. But the catalyst I was looking at was $MSFT Maia ramp, which happens H2 2026, and likely keep scaling up exponentially into 2027, 2028, 2029. Celestial acquisition was probably the smartest thing in the world for them. Maybe on next drop or CSP? 5. $HPS.A - Transformers/Switchgears are commodities + boring parts of the DC supply chain. However, when the bottleneck is 2-5 years, and you have backlog increasing 100%+... causing extreme shortages. It's only up 20%+ since my thesis post, but I do see this being de-risked given massive backlog visibility (even though it's inferred, they don't give exact #). I do think markets are missing something, especially with potential gross margin expansion from price hikes if they pull it off.... Again backlog + demand just de-risks this company, and it seems like a high growth compounder post facility expansion last year. There's many others like $NBIS, $JBL, $RPI, $TSEM, $LITE, $ARM, $SOI, $AXTI, $IQE, $ALRIB, Fittech, PCL, and others that I'm very fond of, but just mentioning 5 off the top of my head from today's prices... if I'm creating a new portfolio. Of course, it's good to barbell with other uncorrelated companies to AI supply chains, but these are just 5 I liked.
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感叹本该买些，现在后悔它涨起来，因为它做 AVGO 激光模块。
@StrateGeee 啊，我本来应该买一点的……现在看着它涨上去有点后悔，因为他们给 $AVGO 做激光模块之类的东西。
原推 ↗英文原文
@StrateGeee Ah I should have bought some… I have regrets seeing it go up now since they do the laser modules and stuff for $AVGO
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看好 PCL Technologies 借助 AVGO 光子生态翻倍。
我其实没有持仓，但前面已经给订阅者做过一些简短 DD。 我预计 PCL Technologies（4977）也会翻倍。 因为他们在 $AVGO 的 photonics 生态里负责组装、光学、测试等全部环节。 我记得我在它大概 4.5 亿美元市值的时候就提过这点？ https://t.co/vmgilSKANV
原推 ↗英文原文
I actually don’t have positions but gave some slight DD away for subscribers earlier. I expect PCL Technologies (4977) to double as well. Since they’re doing everything in $AVGO photonics ecosystem for assembly, optical, testing. Think I mentioned this around ~$450M MC? https://t.co/vmgilSKANV
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作者解释其研究方法论：提前发现被低估的小盘股，在机构买入前将信息分享给散户
不。这种扯淡的思维模式该停止了。 我的做法是在这些股票实现100-500%+回报之前，先向散户指出它们。 美国机构如Point72或Apollo最终会把它们买下来的。 1. $IQE上涨是因为它们坐拥全球最大的InP反应器隐性代工产能，当时市值仅1亿欧元，而Landmark等公司交易在38亿美元。 它们还是$LITE的供应商，而光子学/epiwafer需求今年爆发了。 2. $SIVE上涨是因为它们与$JBL和O-Net签订了新协议。 但当我首次建仓时，它们还鲜为人知——作为$MRVL CPO项目的激光供应商。 如果我没有引起关注，像$AVGO这样的美国机构很可能会像高通收购Alphawave那样，直接收购这家公司——在openlight那边发生的事情。 那样的话瑞典散户投资者就得不到任何上涨收益了。 3. $ALRIB上涨是因为它们的财报将市盈率压低至远期26倍，尽管在MBE领域与$VECO保持双头垄断地位。 加上新的SiPH设备，以及$IQE和QD Laser（量子点）都是它们的客户。 这是我十年来最原始的信息发现——原来$MSFT Quantum是它们的买家。 你不会看到直接的超大规模云厂商前沿量子计算项目依赖一家市值不到10亿美元的公司。 4. $SOI上涨208%是因为它在硅光子学和CPO用的SOI基材上拥有不为人知的垄断地位。 这更多是信息整合加上在它们传统业务周期底部买入的时机把握。 5. $RPI上涨是因为财报和AI硬件使用量。 我只是第一个指出它的人。 我预测营收增长55%，而分析师预测14%。它们实际做到了58%。 我只是给了散户在机构有机会发现并定价之前买入的机会。 即使我不发我的分析报告，这只股票也会基于纯基本面上涨——作为一家无晶圆厂公司，你不可能用5亿美元市值做出5.11亿美元营收。 我只是给散户在机构之前获得信息发现的所有机会。 这与那些机构告诉你买指数基金或已经涨了1500%的股票——让你当退出流动性的完全不同的模式。
原推 ↗英文原文
No. This type of BS mindset needs to stop. What I do is point them out to retail first before the 100-500%+ returns. US institutions like Point72 or Apollo would have bought them out eventually. 1. $IQE went up because they're sitting on the most latent merchant capacity in the world for InP reactors back at a 100M euro marketcap. While companies like Landmark were trading at $3.8B. They were also the supplier to $LITE, and photonics/epiwafer demand took off this year. 2. $SIVE went up because they had new deals with $JBL and O-Net. But they were already unknown as the laser supplier to $MRVL's CPO program when I first went long. American institutions like $AVGO would have likely just bought the company directly like what Qualcomm did with Alphawave over in the openlight side of things if I didn't bring attention to it. Then Swedish retail investors wouldn't get any of the upside. 3. $ALRIB went up because their earnings sent their P/E down to fwd 26, despite holding a duopoly in the MBE category with $VECO. This combined with new SiPH equipment, as well as $IQE + QD Laser (for quantum dot) being their customers. This was combined from raw information discovery of the decade that $MSFT Quantum was their buyer. You don't see direct hyperscaler frontier programs in quantum computing dependant on some <$1B MC company. 4. $SOI is up 208% because it has an unknown monopoly over SOI substrates for silicon photonics and CPO. This was more information synthesis combined with timing the bottom of their legacy cycle. 5. $RPI went up because of earnings and AI hardware usage. I was just the very first person to point it out. I projected 55% revenue growth compared to 14% from analysts. They did 58%. I just gave retail the chance to buy it before institutions. The stock would have gone up off of pure fundamentals without me posting my thesis because you don't do $511m in revenue off a $500m MC as a fabless company. I'm just giving retail the all the information discovery before institutions have a chance to find it and price it in. This is a completely different model than the same institutions telling you to buy index funds or stocks that already went up 1500% so you're exit liquidity.
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认为 SIVE 若是美股会值 20 亿以上，并有清晰上行路径。
我其实觉得如果 $SIVE 作为美国公司挂牌，今天就应该交易在 20 亿美元以上市值……而不是等到今年晚些时候。 因为我不太明白： - $LWLG 为什么会交易到 3.5 倍以上的估值 - 做自己激光器封装的公司，估值却只有它的 5-6 倍 - 像从 $MTSI 到 $LITE 这些激光公司，估值都在几十亿美元区间。 而 Sivers 又是通过 $MRVL、$JBL、O-Net 等进入 hyperscaler 供应链，而不是只依赖单一客户。 全球公开上市的 AI 数据中心激光公司其实也没多少。 所以它要么会成为 $AVGO 或 $MRVL 很想纵向整合上游的高优先级收购标的。 要么它可以走 $LITE 那种路线：从 17 美元涨到 800 美元，并通过 IP 收购把 ELS / optical transceiver stack 的下游 TAM 扩大。 当然，这取决于公司到底有多激进，但我就是觉得自从我发 thesis 后，没人真正注意到瑞典这个激光供应商。 可能只是需要给美国上市一点耐心，我几乎可以确定美国机构会像对 $IQE 那样感兴趣。 DD 周期通常在他们读完我的 thesis 后会持续几周，但我看得到未来几年从这里走到 100 亿美元以上市值的清晰路径。
原推 ↗英文原文
I actually thought $SIVE should be trading at $2B+ MC today (from ~$520m) if they were listed as a US company. Not later this year. Since I’m not sure how: - $LWLG trades at 3.5x+ the valuation - packaging companies that buy their lasers trade at 5-6x their valuation. - laser companies from $MTSI to $LITE have premiums trading in the tens of billions. And Sivers are in hyperscaler supply chains through $MRVL, $JBL, O-Net, and others rather than being dependent on one customer. There’s not very many publicly listed AI DC laser companies in the world either. So either it’s a highly sought after acquisition target for $AVGO or $MRVL that want to vertically integrate upstream. Or they can pull a $LITE that went from $17->$800 and downstream TAM expansion the ELS/optical transceiver stack through IP acquisitions. Depends how ambitious the company is of course but i just don’t think anyone noticed this laser supplier in Sweden since my thesis post. Just might require a little patience for the US listing and I’m almost certain US institutions are interested like they were with $IQE. DD periods usually last a few weeks after they read my thesis but I see a clear path to $10B+ MC from here over the next few years.
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根据以往先例推测，Win Semi 可能会迎来新的长期客户。
@iamsattam 我引用的是过去的先例：当 Win Semi 宣布定向增发时，$AVGO 成了他们的主力客户。 我的猜测是，他们这次通过这份公告，等于又拿到了一个新的长期客户。
原推 ↗英文原文
@iamsattam I'm citing this as the old precedent on when Win Semi announced private placements, $AVGO became their lead customer. My guess was they just acquired a new long term customer by filing this.
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认为 Win Semi 定增稀释约 9.4%，但结合历史先例和大客户逻辑，整体偏利好。
所以这次定增大概是通过发行 4000 万股新股，带来约 9.4% 的稀释，主体是 Win Semi（3105）。 换成别的股票我会很谨慎……但上一次 Win 这么做的时候，$AVGO 买入了 Win Semi 的股份。 而且博通后来成了他们的主力客户。 这次也许会是像 $NVDA 这样的一级客户，考虑到他们最近对 $MRVL、$LITE、$COHR 的投入。 另外还有 3 年持有期。 我之前说过，Win Semi 是光子学、人形机器人和太空（比如 SpaceX）领域的基础性公司，它很可能还会获得另一位一级客户并长期合作。 这很讲究细节，但实际上是偏利好的。
原推 ↗英文原文
So private placement is ~9.4% dilution via 40M new shares via Win Semi (3105). Any other stock I'd be cautious... but last time Win did this, $AVGO took a stake in Win Semi. And Broadcom became their lead customer. Maybe T1 semi like $NVDA, given their recent funding of $MRVL, $LITE, $COHR. There's also a 3 year holding period. I said before Win Semi is foundational to photonics, humanoids, and space (eg. SpaceX) and it's likely another T1 customer using them long term. It's nuanced but actually bullish.
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分析光子学超级周期下的CPO/激光技术路线机遇，SIVE作为小市值激光标的具有独特供应链位置。
光子学“超级周期”有许多细微的架构变化。如果你在去年错过了$LITE，今年可以通过CPO/激光来抢先布局下一个周期。$SIVE是我相对小众的激光敞口标的。他们参与在$JBL的1.6T LRO、$MRVL的Celestial、O-Net到超大规模业者。这对于一家市值约3.5亿美元的公司来说极为罕见。如果要我类比：类似于$AAOI在2025年的情况，或现在的$AEHR——正处于批量生产前的资质认证周期。正因如此，散户只看今天财务数据（负eps或capex支出）时会误解公司情况。而且与批量生产/capex支出相关的dfb激光扩产执行不确定性，已通过Win Semi被去风险化。然而看起来从2026年下半年开始会持续爬坡到2029年以后。可能在时间上稍早一些……但我认为这是对未来即将到来的趋势的一个不错研判。稀释是真实风险。但很多担忧已经被定价到约3.5亿美元市值里，尤其当$AVGO或AlChip这样的公司可以收购$SIVE用于垂直整合或干扰Marvell的CPO计划时。
原推 ↗英文原文
There's many nuanced architectural changes for "supercycles" in photonics. If you feel like you missed $LITE from last year, just frontrun the next cycle with CPO / lasers. $SIVE was my lesser known pick for laser exposure. They're in $JBL 1.6T LRO, $MRVL via Celestial, O-Net -> Hyperscalers. Which is extremely abnormal for a ~$350M MC company. If I had to draw parallels: it's similar to $AAOI 2025 or $AEHR now with current qualification cycles before volume. Which is why retail misunderstands it when you look at purely financial numbers today with negative eps or capex spend. And a lot of that execution uncertainty with volume production / capex spend for scaling dfb laser is de-risked from Win Semi. However, it looks to just keep ramping past 2029+ starting from H2 2026. Might be a little early... But I think it's a decent read on what's up and coming. Dilution is a real risk. But a lot of fears are priced into its ~$350M MC, especially when a company like $AVGO or AlChip can just buy $SIVE for vertical integration or to troll Marvell’s CPO program.
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博主列出30只看好的美股并简述理由，涵盖AI半导体、太空、机器人、加密等领域
今天随机列出30只美国可投资的股票以及我喜欢它们的理由： 1. $INTC——美国晶圆代工的希望，国家安全 2. $MRVL——未来的maia芯片和CPO等附加产品推动营收规模化，业务范围太多数不过来 3. $TSM——半导体/AI的支柱 4. $COHR——业务全垂直整合 + 捕获光学周期 5. $RKLB——太空领域的终极前沿，5年后和20年后都会存在 6. $DRAM——三星/SK海力士的内存敞口 7. $AVGO——超大规模云商不喜欢英伟达GPU税 8. $AMZN——没人能竞争得过隔夜送达卫生纸这件事。机器人技术会长期降低运营费用 9. $ARM——AGI CPU在未来十年会大幅提升营收 10. $TSEM——做光相关的东西你需要晶圆代工 11. $IBIT——比特币，这点我们现在已经众所周知了 12. $NBIS——我认为它是下一个AWS。此外它们还与优步合作做自动驾驶，拥有可扩展的数据库公司、数据标注业务。几乎像一个小谷歌。 13. $GOOGL——youtube不会消失，gemini很棒。它们通过TPU实现垂直整合，用运营收入资助基础设施建设，所以我看好它。 14. $AMKR——超级工厂将在2027-2028年末投产。受益于美国制造政策 15. $HOOD——短期我不喜欢，但长期我看好罗宾汉，因为他们抓住了散户 + 有更多产品如银行等正在规模化。产品创新很疯狂。 16. $CRCL——我恰好非常喜欢稳定币，并认为它们是支付和持有的未来（取决于澄清法案的进展） 17. $META——人们不会很快停止使用Instagram、Whatsapp或其他应用。 18. $LITE——$GOOGL TPU敞口在BOM中占比较高。只要谷歌的AI计划持续运行，我认为$LITE会表现良好。 19. $LPTH——锗和中国出口管制问题将持续存在，因此美国制造的工程替代品将始终重要。 20. $FN——总得有人来组装光学产品 21. $JBL——同上，但加上英特尔硅光业务的IP，可能会成为innolight那样的公司 22. $MP——美国稀土项目极其重要，类似于$INTC涉及的国家安全风险 23. $HIMS——听我说，他们刚收购了一堆公司，股价在$19时有全球DTC渠道。做空者非常讨厌这家公司，但我认为作为逆向多头它实际上很有前景。 24. $SMTC——LRO/LPO转型 25. $POWL——美国版hammond，用于开关设备DC类瓶颈的替代方案 26. $VPG——人形机器人未来会成为主流，大概2027-2028年，这家公司做传感器。 27. $MOG.A——感觉在机器人领域、spacex供应链里到处都能看到它们 28. $MSFT——在$375这个价位，有一天我们会回头看发现这是买入机会。 29. $CVX——战争结束后油价可能会崩，但这些石油公司将变得极其重要，尤其是委内瑞拉还是个金矿。 30. $XLU——我认为降息可能会重启，我们需要电力/电网来支持AI，所以从$CEG到$NEE这些名字将始终重要。 只是顺便抛出一些除了$AAOI和$AEHR之外的想法。
原推 ↗英文原文
Here's a bunch of random 30 US-available random stocks I like today and why: 1. $INTC - America's hope for foundry, national security 2. $MRVL - scales rev from future maia asics and add ons like cpo, they do everything lost count 3. $TSM - backbone of semis/ai 4. $COHR - They do everything vertically integrated + captures optical cycle 5. $RKLB - the final frontier of space will be around 5 years from now and 20 years from now. 6. $DRAM - memory exposure for samsung/sk hynix 7. $AVGO - hyperscalers dont like nvidia gpu tax 8. $AMZN - nobody can compete against the overnight shipping of toilet paper. robotics will lower opex over time 9. $ARM - AGI CPUs scale revenue quite a bit over the next decade 10. $TSEM - you're going to need a foundry for light based stuff 11. $IBIT - bitcoin, we all know by now 12. $NBIS - i think it's the next AWS. Also they do self-driving cars with uber, own scaling DB companies, data labeling. It's almost like a mini Google. 13. $GOOGL - youtube is not going away, gemini is great. they're vertically integrated with TPUs and fund buildout with operating income so i like it. 14. $AMKR - super facilities coming online in late 2027-2028. benefits from made in america 15. $HOOD - i dont like short term, but long term i'm a fan of Robinhood since they captured retail + have more products like banking, etc that they're scaling up. product innovation is wild. 16. $CRCL - I happen to really like stablecoins and see them as the future for both payments/holding (depends on clarity act) 17. $META - people aren't going to stop using instagram or whatsapp, or others anytime soon. 18. $LITE - $GOOGL TPU exposure decently high part of BOM. As long as Google's AI program keeps running I think $LITE will do well. 19. $LPTH - Germanium and China export controls will always be an issue so US made engineered alternatives will always be important 20. $FN - Someone needs to assemble optical stuff 21. $JBL - same as above, but added with ip from Intel's SiPh acqusition so might end up like innolight? 22. $MP - American rare earths program is extremely important, similar to $INTC national security risks 23. $HIMS - Okay here me out they just acquired a ton of companies, and at $19 they have global DTC channel. short sellers really hate this company, but I think it's actually promising as a contrarian long 24. $SMTC - LRO/LPO transition 25. $POWL - US alternative to hammond for switchgear DC type bottleneck 26. $VPG - Humanoids will be a thing down the road maybe 2027-2028, this makes the sensors. 27. $MOG.A - Feels like i see them everywhere in robotics, to spacex supply chains 28. $MSFT - At $375, one day we'll look back and see this as a buying opportunity. 29. $CVX - oil might crash after war but these oil companies are going to be extremely important, especially when Venezulea is a goldmine. 30. $XLU - i think rate cuts might be back online, we need power/grid for AI so these names will always be improtant from $CEG to $NEE Just throwing out other thoughts aside from $AAOI and $AEHR.
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看好 AEHR，并指出很多散户误解资格认证周期和量产爬坡。
是的，我后来把仓位更集中在 $AEHR 上了，因为它拿到了像 $LITE、$AVGO 或 $COHR 这样的新硅光一线客户。 很多散户误解了资格认证周期 -> 量产爬坡，所以才去做空。 看到散户试图做空 $AAOI 和 $AEHR，最后却在超级周期里遭遇无限亏损，真的很夸张。
原推 ↗英文原文
yeah i decided have a higher concentration on $AEHR after the new silicon photonics t1 customer like $LITE, $AVGO, or $COHR. a ton of of retail investors misunderstood qualification cycles -> volume ramp so they went short. its crazy to see retail try and short $AAOI and $AEHR just to face infinite losses in a supercycle.
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给出光子学 CW 激光瓶颈的个人高 beta 排序。
下一轮光子学 CW 激光瓶颈： 我个人的高 beta 敞口排序： 1. $SIVE：3.02 亿美元 2. $AAOI：83.5 亿美元 3. Yuanjie（688498）：135.5 亿美元 4. $MTSI：174 亿美元 5. $LITE：561 亿美元 6. $COHR：492 亿美元 7. Suzhou Everbright：59.5 亿美元 8. LuxNet（4979.TWO）：17 亿美元 9. Henan Shijia（SHA: 688313）：62 亿美元 10. Furukawa Electric（TYO: 5801）：160.6 亿美元 11. Sumitomo Electric（TYO: 5802）：451.13 亿美元 12. Mitsubishi Electric（TYO: 6503）：712 亿美元 13. $AVGO：1.53 万亿美元 最后我自己拿了最高敞口的几个（但因为利益冲突，避开了港股标的）。
原推 ↗英文原文
For the next photonics CW laser chokepoint. Personal high-beta exposure tierlist: 1. $SIVE: $302m 2. $AAOI: $8.35B 3. Yuanjie (688498): $13.55B 4. $MTSI: $17.4B 5. $LITE: $56.1B 6. $COHR: $49.2B 7. Suzhou Everbright: $5.95B 8. LuxNet (4979.TWO): $1.7B 9. Henan Shijia (SHA: 688313): $6.2B 10. Furukawa Electric (TYO: 5801): $16.06B 11. Sumitomo Electric (TYO: 5802): $45.113B 12. Mitsubishi Electric (TYO: 6503): $71.2B 13. $AVGO: $1.53T Ended up taking the highest exposure picks personally (but avoided HK listed names due to conflict of interest).
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认为 Win Semi 被严重低估，在机器人、太空和 AI 供应链里都很关键。
一个被严重低估的冷门 OP 标的。 还是几乎没人谈论 Win Semi（$3105.TWO）…… 从 $LITE 到 $SIVE，以及从 $AAPL 到 $AVGO 再到 SpaceX。 感觉大家其实都在用它？ 我觉得 54 亿美元的估值低估了它在机器人、太空和 AI 超大规模客户供应链中的重要性。
原推 ↗英文原文
What a sleeper OP pick. Still almost nobody talks about Win Semi ($3105.TWO)… From $LITE to $SIVE. And $AAPL to $AVGO to SpaceX. Feels like everyone uses them? $5.4B price tag is underselling its importance to robotics, space, and AI hyperscaler supply chains imo. https://t.co/lMg92KzufM
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AEHR因拿下光学收发器大客户而上涨，若进入量产阶段股价或超$60
这不是贪婪，这是基本面。$AEHR价格上涨是因为他们拿下了光学收发器(optical transceivers)领域的领导者。这可能是$AVGO、$LITE、$COHR、$MRVL、$CSCO或其他公司。市场是前瞻性的。以我之见，如果它进入像$AAOI那样的批量订单增长阶段，股价将会超越60美元。
原推 ↗英文原文
It's not greed, it's fundamentals. $AEHR went up in price is because they landed the leader in optical transcivers. This could be $AVGO, $LITE, $COHR, $MRVL, $CSCO or others. Markets are forward looking. IMO it will blow away $60+ if it shifts into mass order ramp like $AAOI earnings.
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批评 0DTE 亏光故事，强调要学会长期复利而不是一日赌局。
$RDDT 现在最火的故事就是这个： -> 有人拿着 30 万美元起步 -> 在 2025 年 4 月底部靠个股运气赚到了钱 -> 账户做到了 300 万美元，还说自己实现了财务自由 -> 然后拿去玩 $SPY 的 0DTE 期权 -> 最后把 300 万变成了 5 万。 通常我会讲一个吸取教训的故事，但这次真的只是蠢。 真心别再碰 0dte 期权了。 就算他把钱全仓押到 Jim Cramer 最喜欢的股票 $MRVL，上几年也许都能变成 600 万。 世代财富最好的教训是看看 Nancy Pelosi。 如果你真要做期权，就看看他们怎么在 $AVGO 到 $NVDA 上长期复利。 不是玩一天的窗口。
原推 ↗英文原文
The most viral story on $RDDT right now: -> Guy started with $300,000 -> Gets lucky with individual names at April 2025 bottom -> Runs it up to $3,000,000 and claims they had financial freedom -> Proceeds to do 0DTE options on $SPY -> Turned $3M -> $50k. Usually I give a lesson learned type story but this is just stupid? Legit stop touching 0dte options. Even if they full ported it into Jim Cramer’s favorite stock $MRVL, probably would have been $6M in 2-3 years. The best lesson of generational wealth is looking at Nancy Pelosi. If you do options, look at how their on $AVGO to $NVDA keep compounding over time. Not one day windows.
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认为 AEHR 在小市值下被低估，正被多家超大客户做资格认证。
$AEHR 在大约 11 亿美元市值下看起来极有吸引力。 Aehr 开始让我想起早期的 $TER，又有点像财报前的 $AAOI。 如果把时间线和猜测客户列出来： 2 月 11 日：Sonoma 为超大客户的 AI ASIC 处理器拿到生产胜利。（大概率是 $GOOGL、$AMZN、$META） - 可能是谷歌？Aehr 收购了 Incal，而 Incal 曾被猜测会被谷歌用于 TPU。 2 月 26 日：来自 AI 主力客户的 1400 万美元。（大概率是 $AMD、$NVDA） - 这里更像是 $AMD，用于 Instinct MI300/MI400。 3 月 3 日：一台 FOX-XP 系统对应的主硅光客户。（大概率是 $INTC siph） - 很可能 $INTC 就是他们的主客户。 3 月 31 日：来自一家新的大型硅光客户的首单。（大概率是 $AVGO、$MRVL、$CSCO） - 新客户（排除了 Intel），大概是这些正转向 800G/1.6T 硅光收发器的公司之一。 （这些都属于非常保密的 BOM 级推测） 不管怎样，这条时间线对 $AEHR 来说就是在不断加码。 也许就是下一次财报。也可能再过两季。 但感觉量产订单只是时间问题。
原推 ↗英文原文
$AEHR looks extremely promising at ~$1.1B MC. Aehr is starting to remind me of an early $TER, mixed with pre-earnings $AAOI. If we look at the timeline and speculated customers: Feb 11th: Sonoma production win for Hyperscaler's AI ASIC processors. (likely $GOOGL, $AMZN, $META). - Probably Google? Aehr bought Incal, who was speculated to be used by Google for their TPUs. Feb 26th: $14 million from AI lead customer (likely $AMD, $NVDA) - Probably $AMD here for Instinct MI300/MI400. March 3rd: Lead silicon photonics customer for one FOX-XP system (likely $INTC siph) - Very likely $INTC has been their lead customer. March 31st: Initial order from major new silicon photonics customer (likely $AVGO, $MRVL, $CSCO ) - New customer (rules out Intel), prob one of these transitioning to 800G/1.6T silicon photonics transceivers (All speculative, very confidential BOM) Regardless. This timeline is just bottling up for $AEHR. Could be next earnings. Or two quarters from now. But feels like a matter of time before we see mass orders.
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认为 Nvidia 可能更希望 SIVE 保持独立，也可能出现股权收购或被 Broadcom 并购。
@yuntungshieh 我觉得 Nvidia 可能更希望 $SIVE 保持独立。 所以我们可能会看到 $MRVL、AlChip 对它做股权收购……或者也可能被 $AVGO 收购，用来卡死竞争对手的 CPO 路线图。现在还不确定最后会怎么演。
原推 ↗英文原文
@yuntungshieh I think Nvidia would rather have $SIVE stay independent. So we might see some share acquisition from $MRVL, AlChip… or maybe an acquisition by $AVGO to chokepoint their competitors CPO roadmap. Not sure how this plays out.
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调侃如果 Broadcom 买下 SIVE，就能控制后续多家公司的路线图。
如果 $AVGO 真的花 3 亿美元买下 $SIVE，那就太可惜了…… 这样一来，它就能从上游光源层面控制 $NVDA 和 $MRVL 的近端路线图。 我相信博通肯定不会在想这个……对吧？
原推 ↗英文原文
It would be a shame if $AVGO bought $SIVE for $300m… Then controlled the near term roadmap for $NVDA and $MRVL from the upstream light source level. I’m sure Broadcom isn’t thinking about this… right? https://t.co/wrS431DG8n
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认为若 CPO 在 2026 年下半年到来，自己会继续持有 SIVE。
为什么每个 ticker 都有人一直问我同一个问题。 如果 CPO 的拐点会在 2026 年下半年到来，那我会继续拿着 $SIVE，因为我是在提前布局下一轮光子学变化。 考虑到它只有 2.8 亿美元市值，$AVGO 明天就能把它的光子业务 / IP 买下来，从而控制 $MRVL 的光子路线图……所以我个人除了稀释之外，几乎看不到多少下行风险。
原推 ↗英文原文
Why do people keep asking me this for every single ticker. If CPO inflection is coming in late 2026, I'm holding $SIVE, since I'm frontrunning the next photonics shift. Given it's a $280M MC, $AVGO can just buy their photonics division/IP tomorrow and control $MRVL's photonics roadmap... so I personally don't see much downside risk aside from dilution.
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整理Mirae Asset的CPO价值链全图，涵盖激光源到EDA各环节上市公司
来自Mirae Asset的CPO价值链概览： 激光源： Coherent < $COHR > Lumentum < $LITE > Furukawa Electric (TYO: 5801) Yuanjie Semiconductor (SHA: 688498) Innolight Technology / 中际旭创 (SZSE: 300308) PIC代工： TSMC < $TSM > GlobalFoundries $GFS Samsung Electronics (KRX: 005930) Tower Semiconductor < $TSEM > EIC、驱动IC： Broadcom < $AVGO > Marvell < $MRVL > NVIDIA < $NVDA > ELS、光引擎： Innolight / 中际旭创 (SZSE: 300308) TFC / 苏州天孚光通信 (SZSE: 300394) O-Net Technologies Eoptolink Technology (SZSE: 300502) FAU（光纤阵列单元）： Senko Advanced Components（私企） Sumitomo Electric (TYO: 5802) TFC (SZSE: 300394) FOCI Fiber Optic Communications (TWO: 3363) FAU、对准工具： ficonTEC（私企） All Ring Tech (TWO: 6187) ADST（私企） FAU、引擎组装： Fabrinet < $FN > Hon Hai / Foxconn (TWSE: 2317) ASE Technology < $ASX > FOCI (TWO: 3363) OSAT、先进封装： ASE Technology < $ASX > Amkor < $AMKR > Kyocera (TYO: 6971) Powertech / PTI (TWSE: 6239) Shinko Electric (TYO: 6967) Fabrinet < $FN > 连接器、套管： Senko Advanced Components（私企） Sumitomo Electric (TYO: 5802) US Conec（私企） T&S Communications (SZSE: 300570) Molex（私企） Browave (TWO: 3163) 光纤： Corning < $GLW > Sumitomo Electric (TYO: 5802) Nittobo / 日东纺绩 (TYO: 3110) 电/光测试： Keysight < $KEYS > Teradyne < $TER > FormFactor < $FORM > Chroma ATE (TWSE: 2360) Multilane（私企） 交换、系统： NVIDIA < $NVDA > Broadcom < $AVGO > Marvell < $MRVL > Google < $GOOGL > EDA： Synopsys < $SNPS > Cadence < $CDNS > Ansys < $ANSS > 对这些名单中的一些名称感到困惑，他们可能混淆了一些公司，比如把Innolight和激光源公司（如$MTSI、Sumitomo、$SIVE、Luxnet）与实际终端模块混在一起了（除非有什么非公开材料或者我遗漏了）。 但对于对这个领域感兴趣的人来说，这是一个很好的高层概览。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: CPO领域Mirae分析师笔记： 规模化方向： CPO ASIC：$AVGO、$MRVL 光收发器：$COHR、$LITE、中际旭创 DSP/PAM4：$AVGO、$MRVL 相干DCI：$CIEN、$NOK OCS设备：iPronics、Polatis 光缆/光纤：$GLW、Prysmian、Furukawa HCF：$LITE、OFS DCI相干：Ciena、Nokia、Huawei 光放大器：$LITE、$COHR OCS网关：KDDI 规模提升方向： SiPh代工：imec、$GFS、$TSM SiPh调制器：$NVDA（内部MRM）、$INTC ELS：NTT、Furukawa、$LITE、$COHR 太赫兹互连：研发阶段？ CPO测试："新玩家进入增加" 微透镜/光学系统："新玩家进入增加" TLDR：规模提升的CPO即将到来。我认为分析师笔记遗漏了一堆上游公司名称，并把ELS和光源混为一谈了。 但对于了解他们认为谁是领先玩家来说，这是个很好的高层概览。
原推 ↗英文原文
CPO Value Chain Summary from Mirae Asset: Laser Source: Coherent < $COHR > Lumentum < $LITE > Furukawa Electric (TYO: 5801) Yuanjie Semiconductor (SHA: 688498) Innolight Technology / Zhongji Innolight (SZSE: 300308) PIC Foundry: TSMC < $TSM > GlobalFoundries $GFS Samsung Electronics (KRX: 005930) Tower Semiconductor < $TSEM> EIC, Driver IC: Broadcom < $AVGO > Marvell < $MRVL > NVIDIA < $NVDA > ELS, Optical Engine Innolight / Zhongji Innolight (SZSE: 300308) TFC / Suzhou TFC Optical Communication (SZSE: 300394) O-Net Technologies Eoptolink Technology (SZSE: 300502) FAU (Fiber Array Unit): Senko Advanced Components (Private) Sumitomo Electric (TYO: 5802) TFC (SZSE: 300394) FOCI Fiber Optic Communications (TWO: 3363) FAU, Align Tools: ficonTEC (Private) All Ring Tech (TWO: 6187) ADST (Private) FAU, Engine Assembly: Fabrinet < $FN > Hon Hai / Foxconn (TWSE: 2317) ASE Technology < $ASX > FOCI (TWO: 3363) OSAT, Advanced Packaging: ASE Technology < $ASX > Amkor < $AMKR > Kyocera (TYO: 6971) Powertech / PTI (TWSE: 6239) Shinko Electric (TYO: 6967) Fabrinet < $FN > Connector, Ferrule: Senko Advanced Components (Private) Sumitomo Electric (TYO: 5802) US Conec (Private) T&S Communications (SZSE: 300570) Molex (Private) Browave (TWO: 3163) Fiber: Corning < $GLW > Sumitomo Electric (TYO: 5802) Nittobo / Nitto Boseki (TYO: 3110) E/O Testing: Keysight < $KEYS > Teradyne < $TER > FormFactor < $FORM > Chroma ATE (TWSE: 2360) Multilane (Private) Switch, System: NVIDIA < $NVDA > Broadcom < $AVGO > Marvell < $MRVL > Google < $GOOGL> EDA: Synopsys < $SNPS > Cadence < $CDNS > Ansys < $ANSS > Confused by some of names of the list, they might have conflated a few names like Innolight with laser source like $MTSI, Sumitomo, $SIVE, Luxnet, with the actual end module (unless there's something that's not public material or I missed)? But just for people interested in the landscape, this is a good high-level overview.
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认为 SIVE 可能被多方盯上，也可能因持股结构保持独立。
洗澡时冒出来的一个想法…… SIVE 现在可能已经被 $QCOM、$MRVL、$AVGO、AlChip、联发科、$AMZN、$META、$MSFT 的风投部门盯上了？ 既然现在大家都公开知道了，Broadcom 只要花 3.5 亿美元就能买下 Marvell 在光子学上的咽喉点（Amazon / Microsoft 的 ASIC 项目）…… 或者 Qualcomm 也可以用同样的方式收购 $SIVE，然后在收购 Alphawave 之后把激光 IP 做垂直整合。 又或者……超大规模客户会通过持有足够多股份，想办法让 $SIVE 继续保持独立？
原推 ↗英文原文
It’s funny a shower thought… Probably put $SIVE on the radar for $QCOM, $MRVL, $AVGO, AlChip, Mediatek, $AMZN, $META, $MSFT venture arms now? Since everyone publicly knows now Broadcom can just go and buy Marvell’s photonics chokepoint vulnerability (Amazon/Microsoft ASIC programs) for a rounding error of $350m… Or Qualcomm can do the same buying $SIVE then vertically integrate laser IP after Alphawave aquisition. Or maybe… hyperscalers figure out a way $SIVE remains independent by owning enough shares?
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只是分享想法，猜测 Marvell 的 CPO 供应链会不会被竞争对手收购卡脖子。
@Jornka329996 我只是分享一下洗澡时的想法，不知道人们或者市场会怎么反应。 也许 $MRVL 的风投方更愿意让他们的 CPO 供应链卡口被 $AVGO 或 AlChip 这样的竞争对手收购和控制？
原推 ↗英文原文
@Jornka329996 I’m just sharing my shower thoughts, don’t know how anyone or markets react. Maybe $MRVL ventures prefers their CPO supply chain chokepoint to be bought out and controlled by competitors like $AVGO or Alchip?
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Sivers作为稀缺独立cw激光供应商，战略价值远超当前市值估值。
我个人看到 $SIVE 下跌风险较小的原因： 像 $AVGO 这样 $MRVL 的竞争对手可以直接收购 Sivers，从而控制其近中期光子学路线图... 估值约 2.9 亿美元... 如果再便宜一点的话。 Gemini 的回应很有趣： "像 Broadcom 这样以约 2.9 亿美元收购 Sivers Photonics 来扼制 Marvell 新收购的 Celestial AI 路线图不仅仅是战略行为； 这是一场投资回报率高得离谱的供应链战争。" "花点小钱，竞争对手就能控制上游光源，把握直接的 IP 路线图，并让试图整合 Celestial AI 的 Marvell 付出数十亿美元的机会成本。" 对于 $MSFT, AlChip, $MRVL, $AMZN 等超大规模云服务商来说，投资 Sivers 来确保其共封装光学(CPO)供应链可能比让它被竞争对手收购更有利。 就像 $QLCM 与 Alphawave 针对 OpenLight 生态所做的操作一样。 我的观点是：$SIVE 作为全球少数保持独立运营的 cw 激光器供应商之一的关键瓶颈地位... 其固有的价值远超其市值。 对冲基金因「MC」和瑞典交易所上市限制无法投资从而压低估值... 对于收购方或散户投资者来说反而是一种因祸得福。
原推 ↗英文原文
The reason I personally see less downside risk with $SIVE: A competitor to $MRVL like $AVGO can just buy Sivers outright and their near-medium term photonics roadmap… At ~$290m… if it gets any cheaper. Gemini responses were interesting: “ A competitor like Broadcom buying Sivers Photonics for ~$290M to choke Marvell’s newly acquired Celestial AI roadmap isn't just strategic; It is supply chain warfare with an absurdly high ROI. “ “ For pocket change, a competitor could buy the upstream light source, control the immediate IP roadmap, and inflict billions of dollars worth of opportunity cost on Marvell right as they try to integrate Celestial AI “ It’s likely better for hyperscalers like $MSFT, AlChip, $MRVL, $AMZN to invest in Sivers to secure their CPO supply chain then have it being bought out by one of their competitors. Like what happened already with $QLCM and Alphawave for OpenLight. My opinion: $SIVE chokepoint as one of the few projects remaining independent cw laser suppliers in the world… Is inherently way more valuable than their marketcap. Hedge funds not being able to invest due to “MC” and Sweden listing to keep valuations depressed… is a blessing in disguise for both acquisitions or retail investors.
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把近期机构轮动理解为 CPO/ELS 上游链条的机会。
尽管指数和巨头都在跌，比如 $META / $MSFT，但市场里依然明显有一些超额收益者。 这大概说明了机构轮动，或者说某个非常强的新兴行业已经在形成。 最明显的就是 CPO / ELS 供应链。 我个人的标的包括： $TSEM / Win Semi - 光子学里的 TSM $AAOI / $SIVE / $COHR / $LITE - 光源 $SOI / $AXTI - 衬底 $IQE - 外延片 当然也有更大的名字，比如 $MRVL、Sumitomo、$AVGO。
原推 ↗英文原文
There’s clearly some market outperformers despite index’s and mega caps from $META / $MSFT crashing. This probably signals institutions rotation or an extremely strong up and coming sector. The obvious one is into CPO/ELS supply chains. My personal picks were: $TSEM / Win Semi- TSM of photonics $AAOI / $SIVE / $COHR / $LITE- Light Sources $SOI / $AXTI - Substrates $IQE - Epiwafers But of course there are larger names out there like $MRVL, Sumitomo, $AVGO.
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对比光通信供应链各玩家对CPO光源业务的直接敞口差异
当然，这更像是直接敞口与市值的对比。 光源环境如下： 头部玩家：Lumentum (550亿美元)、Broadcom (1万亿美元)、Coherent (550亿美元)、Sumitomo (规模庞大) 大型玩家：$AAOI (约80亿美元)、Furukawa (约70亿美元)、$MTSI (约190亿美元) 新兴玩家：$INTC (约2300亿美元+)、$SIVE (2.3亿美元)、Luxnet (17亿美元) 你可以买$AVGO来获得光子学敞口，但因为它规模太大……他们的其他业务部门可能会稀释敞口。 另一方面，如果你看$SIVE，由于规模很小，它几乎是CPO光源升级的纯概念股。 所以我最终选择了最直接的敞口。 很多人对市值(MC)感到不适，所以Furukawa、$MTSI、Sumitomo这类公司可能更受机构分析师青睐。
原推 ↗英文原文
Sure, it's more like direct exposure vs. marketcap. The light source environment looks like this: Leading players: Lumentum ($55B), Broadcom ($1T), Coherent ($55B), Sumitomo (massive) Large Players: $AAOI (~$8B), Furukawa (~$7B), $MTSI (~$19B) Emerging players: $INTC (~$230B+), $SIVE ($230M), Luxnet ($1.7B) You can buy $AVGO for photonics exposure, but because it's so large... their other segments will probably be diluting exposure. On the other hand, if you look at $SIVE, it's almost pure-play to the light source ramp for CPO because it's so small. So I ended up picking the most direct exposure. Lot of people are uncomfortable with MC, so companies like Furukawa, $MTSI, Sumitomo might be more popular with institutional analysts.
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博主分享其对AI供应链瓶颈轮动的精准判断，从存储到光子学再到CPO/ELS，并引用研报分析AI投资超级周期的瓶颈解决序列和CPO商业化拐点
我认为我精准把握了机构层面的瓶颈轮动。 -> 在存储股的上涨尾声捕捉到了 $SNDK、三星、SK海力士、$MU -> 在光子学领域领先机构布局了 $AAOI、$AXTI、$LITE、$COHR -> 现在再次行动，大量加仓SiPh、ELS和CPO：$SIVE、$TSEM、$SOI、$AEHR、Win Semi以及其他 当然如果你想稳健操作： $MRVL（产能自用）、$AVGO（产能自用）、$TSM和$NOK也都有涉及，但他们是更大的玩家。直接曝险下一个超级周期才是理想的。 我仍然认为从存储到EML光收发器的增长空间巨大，但最大的繁荣出现在新架构周期起点/拐点处。 除了宏观因素干扰了一些交易外，预计资本将很快轮动到CPO/ELS供应链。 券商研报的摘要：AI基础设施投资超级周期遵循严格的"瓶颈解决"序列： 算力/GPU（2023）-> 存储/HBM（2024）-> 互联/网络（2025+） 翻译： "我们判断AI价值链的第三轮投资周期已正式启动。继GPU（2023）和HBM（2024）之后，2025年后，光互联将成为增长最快的核心环节。 2027-2028年将是关键拐点，CPO商业化、1.6T标准化和Scale-Up光互联将形成共振，结构性扩大相关行业TAM。" 一些要点： 1. CPO（共封装光学）正从实验室走向商业化量产 2. 2027-2028年是重大结构性拐点（现在在2026年提前布局是个好主意，从测试端$AEHR到ELS端$SIVE或封装端$POET） 3. 光学部件、材料和测试设备的市场总规模（TAM）预计将结构性扩大3到5倍（我认为这还是保守估计）。
原推 ↗英文原文
I think I nailed the institutional bottleneck rotation. -> Caught the tail end of memory name rise with $SNDK, Samsung, SK Hynix, $MU -> Frontran institutions with photonics with names like $AAOI, $AXTI $LITE, $COHR. -> Doing it again now by adding heavily toward SiPh, ELS, and CPO: $SIVE, $TSEM, $SOI, $AEHR, Win Semi, and others. Of course if you want to play it safe: $MRVL (captive), $AVGO (captive), $TSM, and $NOK all do it as well, but they're larger players. And getting direct exposure to the next supercycle is ideal. I still think there's tons of room to grow for memory to EML optical transceivers, but the largest boom is at the start/inflection point of a new architectural cycle. Macro messing up some trades aside, expecting capital rotation soon toward CPO / ELS supply chains. TLDR from analyst note: The AI infrastructure investment supercycle follows a strict "bottleneck resolution" sequence: Compute/GPUs (2023) -> Memory/HBM (2024) -> Interconnect/Networking (2025+). Translation: "We judge that the third investment cycle of the AI value chain has officially begun. Following GPUs (2023) and HBM (2024), post-2025, optical interconnects will become the fastest-growing core segment. 2027–2028 will be a critical inflection point where CPO commercialization. 1.6T standardization, and Scale-Up optical transitions align, structurally expanding the TAM of related industries" Some takeaways: 1. CPO (Co-Packaged Optics) is moving from the lab to commercial mass production 2. 2027-2028 is the major structural inflection point (good idea to frontrun this now in 2026 from testing with $AEHR to ELS with $SIVE or packaging with $POET). 3. The Total Addressable Market (TAM) for optical components, materials, and testing equipment is expected to structurally expand 3x to 5x (I think this is sandbagging a bit).
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Mirae分析师梳理CPO产业格局，作者认为遗漏上游公司但框架有参考价值
CPO产业格局 Mirae分析师笔记： 横向扩展： CPO ASIC：$AVGO、$MRVL 光收发器：$COHR、$LITE、Innolight DSP/PAM4：$AVGO、$MRVL 相干DCI：$CIEN、$NOK OCS设备：iPronics、Polatis 光缆/光纤：$GLW、Prysmian、Furukawa HCF：$LITE、OFS DCI相干：Ciena、Nokia、Huawei 光放大器：$LITE、$COHR OCS网关：KDDI 纵向扩展： SiPh代工：imec、$GFS、$TSM SiPh调制器：$NVDA（内部MRM）、$INTC ELS：NTT、Furukawa、$LITE、$COHR 太赫兹互联：研发阶段？ CPO测试：「新玩家不断进入」 微透镜/光学系统：「新玩家不断进入」 总结：纵向扩展的CPO即将到来。认为分析师笔记遗漏了一些上游公司名字，并将ELS与光源混为一谈。 但作为高层视角，能看到他们认为的领先玩家还是有参考价值的。
原推 ↗英文原文
CPO Landscape Mirae Analyst Note: Scale-Across: CPO ASIC: $AVGO, $MRVL Optical Transceiver: $COHR, $LITE, Innolight DSP/PAM4: $AVGO, $MRVL Coherent DCI: $CIEN, $NOK OCS Equipment: iPronics, Polatis Optical Cable / Fiber: $GLW, Prysmian, Furukawa HCF: $LITE, OFS DCI Coherent: Ciena, Nokia, Huawei Optical Amplifier: $LITE, $COHR OCS Gateway: KDDI Scale-Up: SiPh Foundry: imec, $GFS, $TSM SiPh Modulator: $NVDA (in-house MRM), $INTC ELS: NTT, Furukawa, $LITE, $COHR THz Interconnect: R&D Stage? CPO Test: "Expanding entry of new players" Micro Lens / Optical Systems: "Expanding entry of new players" TLDR: Scale Up CPO is coming next. Think the analyst note missed a bunch of upstream names and conflated ELS with light source. But it's helpful to see who they think the leading players are as a very high-level view.
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承认现金少和历史包袱，但认为独立 cw 激光供应商的价值足以抵消下行。
当然，现金余额低、来自母公司的历史包袱、后续还会有进一步稀释。 Ayar 在做多来源采购，而且更偏向 $LITE。可能还会遇到 Win 的认证问题，以及 CPO 路线图延迟。 但我认为，作为全球少数几家独立 cw 激光供应商之一，它的价值足以抵消这些下行风险。这个身份本身就非常有价值。 如果跌得足够便宜，对冲基金或者像 Broadcom、Marvell 这样的公司，完全可以用很低的价钱把它收购，然后向上游一体化，或者把竞争对手的关键路径卡住。
原推 ↗英文原文
Sure, low cash balance, legacy drag from parent company, further dilution along the way. Ayar multi sourcing and leaning more heavily toward $LITE. Maybe qualification issues with Win. CPO roadmap delays. I do think any downside risk is negated by how valuable being one of the only independent cw laser suppliers in the world. So that itself is really valuable. If it ever drops enough a hedge fund or company like Broadcom or Marvell can just buy it out for pennies and either vertically integrate upstream or chokepoint out competitors.
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用意大利语说 10 亿美元对 Broadcom 来说只是小钱。
@gian1222744 @Ud197601 也许确实很便宜，但比今天的价格高得多。 10 亿美元对 Broadcom 来说只是零钱。
原推 ↗英文原文
@gian1222744 @Ud197601 Probabilmente davvero economico ma molto più alto dei prezzi di oggi. 1 miliardo di dollari sono spiccioli per Broadcom.
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认为 Broadcom 可以通过收购光子子公司来切入军工和 CHIPS 相关供应链。
@Ud197601 他们的母公司因为是 CHIPS 法案受益者，而且还和军工承包商合作。 光子学子公司也许会成为可争夺的目标。 而且 $AVGO 也不是什么陌生公司，所以他们完全做得到。
原推 ↗英文原文
@Ud197601 Their parent company bc it’s CHIPS act recipient and partners with military contractors. The photonics subsidiary might be fair game. And $AVGO isn’t an unknown company so they can pull it off
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说更好的做法是便宜地拿下竞争对手整套技术栈并纵向整合。
@Hiraweb3 或者更好……用很便宜的价格直接拿下竞争对手的整套技术栈。 这样还能更好地做纵向整合。
原推 ↗英文原文
@Hiraweb3 Or better yet… own their competitor’s stack for dirt cheap prices. And they can vertically integrate better too.
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认为 SIVE 太上游，不太会卷进反垄断，Broadcom 可以轻松控制 MRVL 路线图。
@InFoTheLongTerm $SIVE 作为激光组件供应商，位置太上游了，所以不会被反垄断问题缠住，这样 Broadcom 就能把这件事做成。 有意思的是，这里其实就是一个瓶颈点，你等于可以在中短期内掌控 $MRVL 的光子学路线图，因为新供应商的认证需要时间。
原推 ↗英文原文
@InFoTheLongTerm $SIVE is too upstream as a laser component vendor to be caught up in antitrust so @Broadcom can pull it off. But the funny thing is it’s a chokepoint and you’d effectively own $MRVL photonics roadmap near-medium term since qualification of new suppliers takes time.
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设想 Broadcom 收购上游光源后控制 Marvell 短中期光子路线图。
只是一个洗澡时突然冒出来的想法： 像 $AVGO 这样的竞争对手，如果用 2.8 亿美元收购 $MRVL 的上游光源 $SIVE，那会很聪明。 这样你就能控制他们短中期的光子学路线图，连 Celestial 也在你手里。 有点像 $QLCM 当年把 Alphawave 和 OpenLight 生态圈拿下。 已经有不少对冲基金在谈潜在并购机会了。 问了 Gemini，回答还挺好笑。
原推 ↗英文原文
Just a shower thought: Would be smart for a competitor like $AVGO to buy $MRVL upstream light source for $280M with $SIVE. Then you control their short-mid term photonics roadmap with Celestial. Kind of like $QLCM did with Alphawave and OpenLight ecosystem. Quite a few hedge funds already talked about potential M&A opportunities. Asked Gemini, response was funny
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提出让 SIVE 沿光子链条扩张 TAM、借资本注入和拆分推进 ELS 模块规模化。
难道 $SIVE 就不能学 $LITE 那样，把 TAM 往 ELS 整个堆栈一路往下扩吗？ 我已经开始想起早期的 $LITE 了（Oclaro、NeoPhotonics、Cloud Light）…… 下面是我的论点/设想： Sivers 如何把大约 300-400 美元的 ELS（来自 50-100 美元的阵列）吃下来，并成长为一家 100 亿美元以上的公司。 路径大概是： -> Sivers 需要融资。 -> 拿 NRE 预付款或者 PIPE（比如 $AXTI/Northland） -> 直接告诉市场：“$AVGO 和 $LITE 会把你们定制 AI 集群的利润率卡住。” ----> 让 $META / $AMZN / $MSFT 投资注资，来支持未来 ASIC 集群的多来源供应，因为他们会害怕。 尤其是 $NVDA 已经出资 40 亿美元来保障从 $LITE 和 $COHR 的供应……再加上当前 EML 产能瓶颈带来的 PTSD。 其实比大家想的容易。 -> 把光子学业务分拆到美国（市场不喜欢给老牌公司投资）。 - - - - - > 这件事大概率会在 2026 年奏效，因为 CPO / photonics 现在是热潮，而不再是 2024 年到 2025 年初那样。 -> 筹到足够的钱后，自动化晶圆探针机，并给模块 NPI 提供资金。 -> 采用轻资本 fab-lite 测试模型：自建探针卡并内部测试，但把 capex 交给 OSAT。 -> 收购硅光封装 IP（或者继续和 O-Net、$POET 做 JDM）。 -> 保留 Glasgow 的 InP 晶圆厂，用于内部测试、迭代和原始外延。 -> 把光刻、刻蚀等环节外包给 Win Semi 和其他厂商（别自己做重资本环节）。 -> 然后 $SIVE 只要把经过测试的激光器和封装 IP 交给 $FN。 然后就成了。 你拥有了一个独立、可大规模生产、高毛利的 ELS 模块，而 ELSFP 也会成为标准。 之后他们还能做别的事，比如购买 DSP 设计并开始整合技术栈。 不再是每个 10 美元的激光芯片乘 6，做成 50 到 100 美元的激光阵列，而是变成 400 美元的可热插拔模块。 基本上，他们的起点是掌握光子学里激光层面的一个瓶颈护城河…… 然后他们就能像 $LITE 当年那样，往下游做 EML 和光模块。 TLDR： Sivers（$SIVE）在世界正向 CPO 转型的这个时点，持有一个稀缺、独立的 InP 激光瓶颈点。 全球只有少数几家独立公司能做这件事，比如 $SIVE（例如住友、$LITE、$COHR）。 但当然，他们需要资金、需要正确的愿景，才能实现 TAM 扩张。
原推 ↗英文原文
Can't $SIVE just pull a $LITE and TAM expansion down the ELS stack? I'm getting early stage $LITE flashbacks (Oclaro, NeoPhotonics, Cloud Light)... Here's my thesis/idea: on how Sivers can capture the ~$300-$400 ELS (from $50-100 arrays) and become a $10B+ company. How this plays out: -> Sivers is needs funding. -> Get NRE prepay or PIPE (eg. $AXTI/Northland) -> Say "Hey, $AVGO and $LITE are going to choke your custom AI cluster margins". ----> get $META / $AMZN / $MSFT capital injection for multi-source supply for next ASIC clusters cause they're scared. Esp. with $NVDA funding $4B to securing supply from $LITE and $COHR... then PTSD from the current EML capacity bottleneck. It's easier than people think. -> US spinoff of photonics arm (markets don't like investing in legacy companies). - - - - - > This will likely work in 2026, bc CPO/photonics is hot, now and not like 2024-early 2025. -> Raise enough to automate wafer probers and fund the module NPI. -> Fab-lite test model: develop probe cards and test inhouse, but push capex to OSATs. -> Buy SiPh packaging IP (or just continue JDM with O-Net and $POET) -> Keep their Glasgow InP fab for in-house testing for iteration/raw epitaxial. -> Outsource lithography, etching, etc. stuff to Win Semi + others (don't do capex heavy things yourself) -> Then just $SIVE can just hand tested lasers and packaging IP to $FN And Poof. You have a independent, mass producible, high margin, ELS module as ELSFP becomes standard. Then they can do other stuff like buying DSP designs and start consolidating the tech stack. Instead of cheap $10 laser dies x 6 for a $50-$100 laser array, you have $400 hot swappable modules. Basically their starting point is owning one of the chokepoints moat in photonics on the laser level... Then they can go downstream like what $LITE did with EML and optical transceivers. TLDR: Sivers ( $SIVE ) holds a rare, independent chokepoint in InP lasers at the exact moment the world is transitioning to CPO. There's only a few independent companies in the world that can do this like $SIVE (eg. Sumitomo, $LITE, $COHR). But of course they need the funding to achieve TAM expansion and the right vision.
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分享小账户分散化投资组合，涵盖AI半导体、光子学、机器人、加密等领域的高增长和杠铃策略标的
快速增长赛道： $AAOI - 光收发器2027年下半年收入增长10倍 $NBIS - 2026年第四季度收入增长10倍 $ARM - 全新AI CPU带来5倍收入增长 $MRVL - 来自$MSFT Maia芯片项目2-3倍收入增长 $AVGO - 长期持有超大规模云厂商ASIC $LITE - 长期持有OCS/谷歌TPU Win Semi - 对前沿行业的代工敞口 $TSEM - 长期持有光子业务，订单积压 SK Hynix - 存储业务敞口，极端营业利润增长 同时配置一些杠铃策略，远离超大规模云厂商资本支出（除亚马逊外）： $VNP - 长期持有西部供应链的稀土 $NEO (TCX) - 机器人供应链 $AMZN - 机器人/AI降低运营成本 $CRCL - 稳定币多头 $RDDT - 高得离谱的利润 $GLD - 安全对冲 $IBIT - 2028年减半 $CVX 看涨期权 - 石油对冲 也许还有长期配置（你知道迟早会来）： $INTC/$AMKR - 美国制造供应链 $SOI - 硅光子学/共封装光学(CPO)基板 $RKLB - 对太空行业的长期看涨期权 然后挑选一两支小盘股博暴涨： $SIVE - CW激光关键点或$I QE - Landmark重组重估，这是我最喜欢的两个 还有其他我提过的，比如$AEHR用于测试或$VPG用于Optimus 我自己在$AXTI等股票上的主动管理模式与其他人应该做的完全不同风险敞口配置。 在这种宏观环境下全仓投入高贝塔标的不太是最佳选择。
原推 ↗英文原文
Faster compounds: $AAOI - 10x revenue ramp from optical transcivers h2 2027 $NBIS - 10x revenue ramp Q4 2026 $ARM - 5x revenue growth from their new AI CPU $MRVL - 2-3x revenue growth from $MSFT Maia Ramp. $AVGO - Long hyperscaler ASIC $LITE - Long OCS / Google TPU Win Semi - Foundry exposure to frontier industries $TSEM - Long photonics, backlogged SK Hynix - Memory exposure, extreme operating income ramp With some barbell exposure away from Hyperscaler capex aside from Amazon: $VNP - Long term rare earths for Western Supply chains $NEO (TCX) - Robotics Supply chains $AMZN - Robotics/AI cutting opex $CRCL - Stablecoin long $RDDT - Ridiculously high profit $GLD - Safe Hedge $IBIT - Halving 2028 $CVX Calls - Oil Hedge And maybe long term (you know it's coming): $INTC / $AMKR- Made in America supply chains $SOI - Silicon Photonics / CPO substrates. $RKLB - Long term call on Space industry Then pick one or two small cap moonshots: $SIVE - CW Laser Chokepoints or $IQE for Landmark rerating on restructuring were my two favorites. There's others I've mentioned like $AEHR for testing or $VPG for Optimus. How I actively manage my own stuff from $AXTI and others is a lot different risk profile than what others should do. Going full port into high-beta in this macro environment is not the best idea.
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分析 $SIVE 在光子学 CPO CW WDM 供应链中的关键地位，估值 $3 亿相对 $LITE 的 $550 亿市值极具不对称优势。
"没有 Win（赢家）就拼不出 Winner（胜利者）。" "因此：我看多 $SIVE 供应链。" "$SIVE -> WIN (TPE:3105) -> Ayar SuperNova -> $JBL -> 超大规模数据中心，作为一个整体流程。" "如果你对比同样处于共封装光学(CPO) CW WDM 领域的 $LITE 等公司。" "原因如下：" "-> $POET / $MRVL Celestial。" "-> Ayar / $JBL 和 O-Net 使用 $SIVE。" "它被设计为超大规模数据中心下一代光子学架构的光源。" "估值约 $3 亿。" "而且我确实认为 WDM DFB 阵列是规模扩展(scale up)的优选架构。且开发难度极高。" "这不是零和博弈的架构之争，如何处理规模扩展(scale out)很可能会与使用单发射器的 $LITE 和 $COHR 分工合作。" "以及像 $MRVL 这样有内部供应链的厂商如何设计他们的架构。" "但如果你比较市值差异（$SIVE 约 $3 亿，$LITE 约 $550 亿）。" "任何人都能看清这个光子学领域 $3.3 亿美元即将到来的颠覆者 $SIVE 价值有多明显。" "尤其是 Win Semi 斥资 $40 亿的晶圆厂承接了来自 $SIVE、$AVGO、$MTSI 等客户的 fabless 激光器规模化生产。" "对于做多这条供应链以及光子学和超大规模数据中心架构发展方向来说，这是高度非对称性的机会。
原推 ↗英文原文
You cant spell Winner without Win. Because of that: I’m bullish on $SIVE supply chain. $SIVE -> WIN (TPE:3105) -> Ayar SuperNova -> $JBL -> Hyperscalers, as one flow. If you compare to $LITE and others that’s also in the same CPO CW WDM space. There’s a reason why: -> $POET / $MRVL Celestial. -> Ayar / $JBL and O-Net use $SIVE. It’s designed in as the light source for the next-gen photonics architecture for hyperscalers. At a ~$300M valuation. And I do think WDM DFB arrays are the superior architecture for scale up. And are incredibly hard to develop. It's not a zero-sum architectural game and will likely be split with how you handle scale out with single emitters like $LITE and $COHR. As well as captive suppliers like $MRVL and how they design their architectures. But if you look at the MC difference (~$300m with $SIVE, $55B with $LITE). Anyone can see how clear how valuable the $330M incoming disruptor in $SIVE is to the photonics space. And especially with the $4B foundry in Win Semi that captures fabless laser production from $SIVE, $AVGO, $MTSI and other players at scale. It’s highly asymmetrical to long both the supply chain as exposure to where photonics and hyperscalers architecture are heading.
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看多稳懋3105：位于LEO卫星/光学/人形机器人三大高增长领域垄断瓶颈点，战略价值被市场低估。
我在稳懋（Win Semi）(3105.TWO) 4.1B市值时做多。我认为市场忽略了这家全球最重要的晶圆厂之一（在台积电$TSM之外）。我认为他们的战略定位远超40亿美元市值。他们几乎位于所有主要瓶颈点：-> SpaceX Starlink 低轨卫星供应链。-> 作为$AVGO、$LITE、$MTSI、$SIVE的磷化铟(InP)光学收发器晶圆厂。-> 作为人形机器人的身体/眼睛，是用于飞行时间(TOF)激光器的砷化镓(GaAs)晶圆厂，可能用于Boston Dynamic Atlas。-> 来自之前与联发科(MediaTek)/高通(Qualcomm)/$AAPL的业务遗留。但稳懋似乎受到legacy业务的拖累（如$SOI），光学是其最大增长向量之一。然后...稳懋拥有几乎任何晶圆厂中最大的TAM扩张/收入加速：随着：LEO、人形机器人/连续波(CW)激光、800g、1.6t、3.2t光学收发器在未来几年大幅增长。特别是博通(Broadcom)作为其锚定客户（$AVGO持有约5%的稳懋股份）。$NVDA不在乎谁制造激光器，无论是$LITE还是$COHR。他们只在乎是否有足够的供应。供应不够。-> CW激光需求可能呈抛物线增长。（他们制造像$SIVE设计的激光器）-> LEO卫星需求（SpaceX Starlink）可能呈抛物线增长。-> 人形机器人需求可能呈抛物线增长。因为稳懋位于三个最前沿和增长最快行业的半垄断瓶颈点：光子学/AI、机器人/人形机器人和太空。特别是光学TAM爆发：稳懋2027年远期收益大约在35倍范围，我认为这是保守估计，远期估值最终会非常便宜。稳懋将大大受益于TAM扩张和加速的收入增长。当然：稳懋会赢。所以我做多稳懋。
原推 ↗英文原文
I am long Win Semi (3105.TWO) at $4.1B MC. I believe markets are sleeping on of the most important foundries in the world (aside from $TSM). IMO their strategic positioning exceeds far beyond $4B MC. They sit in almost every major chokepoints: -> In the SpaceX Starlink LEO supply chain. -> As $AVGO, $LITE, $MTSI, $SIVE InP foundries for optical transceivers -> then as the body/eyes of humanoids as the GaAs foundry for TOF lasers possibly mapping to Boston Dynamic Atlas -> With legacy from MediaTek / Qualcomm / $AAPL from their previous business. But Win appears to be bottom of the legacy drag (like with $SOI), with optical as one of their largest growth vectors. Then... Win has the largest TAM expansion/revenue acceleration out of almost any foundry: With: LEO, humanoids / CW laser, 800g, 1.6t, 3.2t optical transceiver massive ramp up over the next few years. Especially with Broadcom as their anchor client ( $AVGO owns ~5% of Win). $NVDA doesn't care who makes the lasers, whether it's $LITE or $COHR. They just care if there's enough. There's not enough. -> Demand for CW lasers will likely go parabolic. (they make the lasers that companies like $SIVE designs) -> Demand for LEO satellites (SpaceX Starlink) will likely go parabolic. -> Demand for humanoids will likely go parabolic. As, Win Semi sits as a semi-monopoly chokepoint in the three most frontier and fastest growing industries for photonics/AI, robotics/humanoids, and space. Especially with Optical TAM explosion: Win fwd earnings for 2027 roughly in ~35x range, I do think this is sandbagging it and forward multiples will end up dirt cheap. Win will largely benefit from TAM expansion and accelerated revenue growth. Of course: Win will win. So I am long Win.
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分析光收发器PCB供应链瓶颈受益公司，认为激光器瓶颈更具吸引力
所以如果你们关心EML/CW激光器之外的第二个光收发器(optical transceiver)瓶颈： - $SANM（美国） - $TTMI（美国） - WUS Printed Circuit（证交所代码:2316） - Unimicron（证交所代码:3037） - Zhen Ding Tech（证交所代码:4958） - Gold Circuit Electronics（证交所代码:2368） 这些公司是光收发器PCB瓶颈的赢家。 还有一些下游玩家如FIC Global也受益，不过他们更多是做组装而非晶圆厂。 其他公司如Unimicron规模太大，还有ABF基板等其他业务板块，可能感受不到太大差异。 美国公司的机会主要来自供应链回流美国，虽然中国和台湾玩家是主要受益者。 $AVGO的表述： “台湾和中国的PCB供应商都面临产能限制，导致了延迟，”Ramachandran说，但没有点名具体供应商。 我目前没有任何这些股票的多头仓位。 我可能是错的，但我认为激光器瓶颈（$LITE、$SIVE、$MTSI、$COHR、Sumitomo）在光学供应链中对结构性重新定价更有吸引力。
原推 ↗英文原文
So if you care about the second optical transicever bottleneck outside of EML/CW Lasers: - $SANM (US) - $TTMI (US) - WUS Printed Circuit (TPE: 2316) - Unimicron (TPE: 3037) - Zhen Ding Tech (TPE: 4958) - Gold Circuit Electronics (TPE: 2368) Were winners for the optical transceiver PCB bottleneck. There's some downstream players like FIC Global that benefits, not so much as a Fab but assembly. Others like Unimicron are likely too large with other segments like ABF substrates to feel much of a difference. US plays are more-so from reshoring to US supply chains, even though Chinese and Taiwanese players were main beneficaries. $AVGO quote: "Both Taiwanese and Chinese PCB suppliers are facing capacity limits, contributing to the delays, Ramachandran said, without naming the suppliers." I have no open long positions in any of these right now. I could be wrong, but I felt laser chokepoints ( $LITE, $SIVE, $MTSI, $COHR, Sumitomo) in optical supply chains to be much more compelling for structural re-rating.
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认为机构还没充分认识 SIVE 的上游激光瓶颈价值，可能在悄悄吸筹。
$SIVE 这个大约 4 亿美元市值的名字，我是真心相信的…… 机构错过了它作为超大规模云厂商上游激光瓶颈的价值。 看 $TSEM 按我的 thesis 走出来后，股价涨了 70%，市值到了 210 亿美元以上。 散户流不会把 NASDAQ 股票推高 100 多亿美元。 真正做到这一点的是信息发现和信息整合，尤其是在机构也验证并跟进之后。 $SIVE 以前大部分由瑞典散户持有，几乎没有机构投资者。 现在，关于 $MRVL、Ayar、Jabil、O-Net 的上游 CW 激光供应商的信息已经传播开来。 而且最近 $AVGO 和其他一些评论也明确说激光器是供应链里的明确瓶颈： 我强烈认为，机构正在用冰山单、VWAP 算法，或者其他任何方式，从瑞典散户手里吸筹，以便吃到即将到来的 CW 激光瓶颈。 再说一次，最接近 $SIVE 的对标是： $MTSI 和 $LITE，它们市值分别是 180 亿和 550 亿美元。 Sivers 的市值大约只有 4 亿美元。 在光子供应链发生架构范式转变的时候： 我觉得散户难得有机会去抢在机构前面布局 $SIVE，并重仓配置即将到来的 CW / EML 激光瓶颈。
原推 ↗英文原文
$SIVE at ~$400m MC is a name I genuinely believe... Institutions missed as the upstream laser chokepoint for hyperscalers. When you look at $TSEM following my thesis, the stock went up 70% to a $21B+ MC. Retail flows do not send NASDAQ stocks up $10B+. Information discovery and synthesis does. Especially when institutions validate it, and follow along. $SIVE was majority owned by Sweden retail investors, with **almost 0 institutional investors**. Now that information is distributed regarding the Upstream CW laser supplier for $MRVL, Ayar, Jabil, O-Net. And with $AVGO + other comments recently stating lasers were a clear bottleneck for supply chains: I strongly think that institutions are trying to accumulate off Swedish retail hands through Iceberg orders, vwap algos, or any other methods to gain exposure to the upcoming CW laser bottleneck. Again, the closest comparison to $SIVE are: $MTSI and $LITE, both at $18B and $55B MCs. Sivers trades at ~$400m MC. With architectural paradigm shifts in photonic supply chains: I think retail has a rare opportunity to frontrun institutions with $SIVE and have heavy exposure to the upcoming CW/EML laser bottleneck.
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$SIVE 估值洼地，兼具CPO激光和1.6T可插拔光模块双重赛道，上涨空间极大
$SIVE 一定是我在这个市场里见过的相对于 $AXTI 而言上涨空间最大的股票了吧？市场不可能错过 CW 激光光源这条赛道——客户包括 Jabil、Marvell（通过 $POET 的 Celestial 项目）、O-Net、Ayar（背后有 $NVDA 和联发科支持）……而估值才 1.4 亿美元（现在是 3.5 亿了）。你不仅能获得对未来共封装光学(CPO)规模扩张最直接的激光业务敞口，还能获得本轮周期 1.6T 可插拔光模块业务敞口——$JBL（前身为英特尔硅光子业务部门）的产品即将推出。此外，稳懋半导体(Win Semi)的代工产能扩张对于超大规模云厂商的供应链也至关重要。我认为 99.9% 的人还没有意识到这件事的规模有多大。
原推 ↗英文原文
$SIVE has gotta be the highest upside stock I’ve seen in this market since $AXTI? No way markets missed the CW laser light source for Jabil, Marvell (Celestial via $POET), O-Net, Ayar ( $NVDA, Mediatek backed)… At a $140M valuation. ($350m now) Not only do you get the most direct laser exposure to future CPO scale up? But also this cycle’s 1.6T pluggables with $JBL (formerly Intel Silicon Photonics division) coming soon. With Win Semi bridge capacity scaling needed for hyperscaler supply chains. Don’t think 99.9% of people realized the sheer scale of this yet.
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引用 Broadcom 讲话，强调激光是半导体瓶颈，应优先布局 CW/EML 与晶圆厂。
每个行业领导者…… 尤其是今天这段话里 $AVGO（Physical Layer Products 部门）。 他们提到激光是半导体的瓶颈。 如果你还没多头布局…… -> CW 激光：$SIVE | $MTSI -> EML 激光：$COHR | $LITE -> 或者它们的晶圆厂：$TSEM / Win Semi 也许是时候醒醒了？ Broadcom 的 Ramachandran 说： “虽然现在行业里有多个供应商……但激光领域确实存在明确的供给约束。”
原推 ↗英文原文
Every industry leader... Especially $AVGO (Physical Layer Products division) in this statement today. Cites Lasers as a bottleneck for semiconductors. If you aren't long... -> CW Lasers: $SIVE | $MTSI -> EML Lasers: $COHR | $LITE -> or their foundries in $TSEM/Win Semi Maybe it's time to wake up? Broadcom Ramachandran: "Even though there are multiple suppliers in the industry today... there is definitely a supply constraint in the laser space,”
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展示CPO/光子学ETF模拟仓YTD表现，等权重投资收益率50%，看好光子学长周期。
Serenity的Silicon Photonics / CPO ETF模拟仓。各成分股年初至今收益率：$IQE：+282.5%，$AXTI：+246.6%，Landmark：167.54%，$AAOI：+157.37%，$SIVE：+113.08%，$SOI：+103.54%，$LITE：+100.27%，$LWLG：+92.35%，$VIAV：+88.71%，$AIXA：+73.92%，$AEHR：+70.4%，$CIEN：+67.67%，$FORM：+60.67%，$FOCI：+60.44%，$CAMT：+49.13%，$GLW：+46.77%，$SMHN：+45.94%，Fujikura：+43.89%，$COHR：+41.81%，$KEYS：+40.48%，$TSEM：+36.42%，$ASX：+29.89%，$MTSI：+28.34%，$NOK：+27.5%，Shin-Etsu：+27.33%，$ONTO：+26.28%，$BESI：+24.71%，$UMC：+18.11%，$INTC：+17.27%，$OXINF：+15.03%，$FN：+12.79%，Eoptolink：+11.82%，$TSM：+6.00%，$HIMX：+5.39%，$SMTC：+4.11%，Sumitomo：+3.67%，$CSCO：+3.25%，Innolight：+0.33%，$MRVL：+0.16%，$APH：-6.48%，$MXL：-7.62%，$AVGO：-7.99%，$POET：-12.99%，$TEL：-14.93%。这是回顾性的，但你们知道我在很多赢家仓位已经持有一段时间了（例如前六/七名，除了Landmark外的$AXTI或$LITE）。但如果你好奇年初投资整个光子学趋势的话，等权重收益率是多少？50.033%。我预计光子学长周期(supercycle)将持续未来数年，这些名字中的许多将成为未来的大受益者。特别是随着共封装光学(CPO)被用于扩展AI部署。光子学是AI的新架构范式。
原推 ↗英文原文
The Serenity Silicon Photonics / CPO ETF. YTD Returns of Each Index Stock: $IQE: +282.5% $AXTI: +246.6% Landmark: 167.54% $AAOI: +157.37% $SIVE: +113.08% $SOI: +103.54% $LITE: +100.27% $LWLG: +92.35% $VIAV: +88.71% $AIXA: +73.92% $AEHR: +70.4% $CIEN: +67.67% $FORM: +60.67% $FOCI: +60.44% $CAMT: +49.13% $GLW: +46.77% $SMHN: +45.94% Fujikura: +43.89% $COHR: +41.81% $KEYS: +40.48% $TSEM: +36.42% $ASX: +29.89% $MTSI: +28.34% $NOK: +27.5% Shin-Etsu: +27.33% $ONTO: +26.28% $BESI: +24.71% $UMC: +18.11% $INTC: +17.27% $OXINF: 15.03% $FN: +12.79% Eoptolink: +11.82% $TSM: +6.00% $HIMX: +5.39% $SMTC: +4.11% Sumitomo: +3.67% $CSCO: +3.25% Innolight: +.33% $MRVL: +.16% $APH: -6.48% $MXL: -7.62% $AVGO: -7.99% $POET: -12.99% $TEL: -14.93% This is retrospectively, but as you've known I've been in a lot of the winners for awhile (eg. Top 6/7 like $AXTI or $LITE aside from Landmark). However, if you were curious if you invested in the photonics trend as a whole at the start of the year. The equal weighted return? 50.033% I expect the Photonic Supercycle to last over the next several years, and many of these names to be large beneficaries going forward. Especially as CPO is used to scale AI deployments. Photonics is the new architectural paradigm for AI.
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Sivers成为Jabil 1.6T光收发器激光光源供应商，是其在CPO/硅光子供应链中的重大突破。
Sivers <$SIVE/$SIVEF>为Jabil（270亿美元市值）<$JBL>的1.6T长距离光(LRO)收发器提供光源。 作为激光光源供应商。 这无疑是$SIVE（2.8亿美元市值）公司历史上——也是今天$NVDA GTC大会上——最大的新闻…… Jabil从$AMZN、$GOOGL和$META等终端用户那里带来约300亿美元以上的收入。 以及$NVDA、Arista、$AVGO和Cisco等OEM厂商。 尤其是在收购$INTC的硅光子(SiPh)光收发器业务后，他们在该领域已是一级供应商(Tier 1)。 Sivers为Jabil提供连续波分布反馈激光器(CW DFB laser)光源，应用于硅光子学(Silicon Photonics)和共封装光学(CPO)及超大规模云服务商供应链： 对于一家市值仅2.8亿美元的公司来说，这是难以置信的，而且他们是光子学领域我见过的最不知名却最具潜力的公司。 $NVDA GTC的消息只是进一步巩固了这一投资论点。 我认为他们真的有机会成为下一个$LITE。
原推 ↗英文原文
Sivers < $SIVE / $SIVEF > powering Jabil ($27B MC) < $JBL > 1.6T LRO transcivers. As the laser light source. Is by far the biggest news from $NVDA GTC for Sivers ($280M MC) today... in history. Jabil brings in about $30B+ revenue from end users like $AMZN, $GOOGL, and $META. As well as OEMs like $NVDA, Arista, $AVGO, and Cisco. Especially after acquiring $INTC SiPH optical transceiver business, they're Tier 1 in the space. Sivers powering Jabil as the CW DFB laser source for Silicon Photonics and CPO and hyperscaler supply chains: At a $280M MC is incredible, and they're one of the most unknown yet highest potential company I've seen in the photonics sector so far. And the news from $NVDA GTC just cemented this thesis further. I think they genuinely have a shot at becoming the next $LITE.
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发布CPO供应链全景图，预测明年CPO拐点，建议从EML瓶颈轮动至SiPh架构赢家。
即将发布的共封装光学(CPO)/硅光子学(Silicon Photonics)瓶颈速查表： $SIVE、Sumitomo、$LITE、$COHR、$AVGO、$MTSI、$AAOI - 光源（连续波分布式反馈激光器CW DFB Lasers） $TSEM、$GFS、$UMC、$TSM、$INTC - 硅光子学 foundry代工 $NOK、$CIEN、$CSCO、$COHR - DCO相干数字信号处理 $HIMX、FOCI (3363.TWO) - 微透镜+光纤阵列 $POET - 光学中介层(Optical Interposers) $SOI、$AXTI、Shin-Etsu - 衬底 $FN、$ASX、Innolight、Eoptolink - 光学封装与组装 $MTSI、$SMTC、$MRVL、$MXL - 模拟/混合信号集成电路 $LWLG - 投机性调制器材料 $GLW、$APH、$TEL、$FIT、Fujikura - 连接器和光纤 $FORM、$KEYS、$VIAV、$AEHR - 测试与测量 $BESI、$SMHN、$ONTO、$CAMT - 先进封装与混合键合(Hybrid Bonding) 其中许多是私营公司，如Lightmatter、Ayar、Ranovus等。 现在……每个人都在问……如何获利？ 如果你看CPO总可用市场(TAM)预测，它是一条直线上升，明年是CPO大规模部署的拐点。 阿尔法收益来自捕捉轮动： 从当前电吸收调制激光器(EML)瓶颈（$LITE、$COHR类型）到CPO的硅光子学/连续波分布式反馈激光器架构赢家。 最高上涨潜力的公司是那些不在当前周期内、但在下个周期内的公司。 $SOI、$SIVE或$AEHR就是完美例证。 搭乘当前可插拔(pluggable)瓶颈，如$AAOI。 但真正的阿尔法收益来自抢先机构布局下一波CPO瓶颈。 资本轮动不可避免。
原推 ↗英文原文
The upcoming CPO / Silicon Photonics Bottleneck Cheat Sheet: $SIVE, Sumitomo, $LITE, $COHR, $AVGO, $MTSI, $AAOI - Light Source (CW DFB Lasers) $TSEM, $GFS, $UMC, $TSM, $INTC - SiPh foundry $NOK, $CIEN, $CSCO, $COHR - DCO $HIMX, FOCI (3363.TWO) - Micro-lens + Fiber Arrays $POET - Optical Interposers $SOI, $AXTI, Shin-Etsu - Substrates $FN, $ASX, Innolight, Eoptolink - Optical Packaging and Assembly $MTSI, $SMTC, $MRVL, $MXL - Analog/Mixed-Signal ICs $LWLG - Speculative Modulator Materials. $GLW, $APH, $TEL, $FIT, Fujikura - Connectors and Fibers $FORM, $KEYS, $VIAV, $AEHR- Test & Measurement $BESI, $SMHN, $ONTO, $CAMT - Advanced Packaging & Hybrid Bonding Many are private companies from Lightmatter, Ayar, Ranovus and others. Now... Everyone is asking... How do you profit? If you look at the forecast for CPO TAM, it's a straight line up, and next year is inflection point for CPO mass deployment. The alpha is capturing the rotation: From the current EML bottlenecks ( $LITE, $COHR type) to SiPh / CW DFB architectural winners for CPO. Highest upside potential are the ones that aren't included in current cycles. But that are in the next. Companies like $SOI, $SIVE, or $AEHR are perfect examples. Ride the current pluggable bottleneck like $AAOI. But the alpha is frontrunning institutions with the next CPO bottleneck. The capital rotation is inevitable.
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$SIVE牵手O-Net/Enablence布局CPO，标志硅光子CW DFB激光器供应链成型，替代EML瓶颈的新周期将至。
刚刚：$SIVE宣布与O-Net和Enablence达成CPO（共封装光学）重大合作。 Sivers将成为CPO的激光阵列供应商。 这实质上是论点验证，因为$SIVE成为InP CW DFB（连续波分布式反馈）激光器供应商，用于硅光子学。 简单来说，这就是当前光学瓶颈的$LITE -> $FN关系。 并且类似于现有的$POET -> $MRVL Celestial CPO供应链，但位于亚洲。 Enablence生产"星形耦合器"，类似于$POET的插入器。 O-Net是一家大型组装商，将它们封装成成品模块。 香港的O-Net是华为、中兴通讯、Ciena、Nokia、 Fujitsu等公司的供应商。 （引用内容）： $SIVE今天已上涨+73.78%（市值2.31亿美元）。 随着市场对未来潜在$LITE光子学公司的信息进行综合定价。 如果我必须解释区别： Lumentum的一个激光源主要受益于当前的光学瓶颈。 而$SIVE的激光源则针对即将到来的CPO/硅光子瓶颈。 Lumentum目前主要从$NVDA和超大规模云服务商确保EML（电吸收调制激光器）产能中获益，用于当前可插拔光学收发器周期。 从当前EML瓶颈可以看出，超大规模云服务商正在抢购任何800G/1.6T收发器及上游产能，来自： - $AAOI（内部供应） - $COHR、$LITE（EML激光器+设计）-> $FN（组装） - $COHR、$LITE（EML激光器）-> Innolight / Eoptolink 下一步是什么？ 硅光子学和共封装光学。 向CPO的架构转变需要大规模的高功率CW DFB激光器阵列。 这可能会触发需求量的突然全面范式转变。 $SIVE从InP CW DFB激光器中获益，用于SiPh（硅光子学）和CPO： 即将崛起的公司如： $AYAR、$POET采购$SIVE的激光器，但主要做先进封装。 然后它们向上输给更大的公司，如$MRVL Celestial（购买$POET的插入器）。 然而，如果你往上游追溯，光源实际上是$SIVE。 CW DFB激光器是光源引擎（$SIVE）；硅光子学封装（$POET等）是传输方式。 CPO规模尚未到来，但我们知道它即将到来。 正如当前光学收发器周期所示： - $LITE和$COHR的光源公司获得的估值远高于专注于先进封装的$FN等公司。 市场一直在关注$POET，但忽略了它们Starlight项目实际光源（类似$LITE类型）的来源。 风险存在，包括面临$LITE、$COHR、$AVGO等多方竞争。所以再次强调，请务必自己做研究。 但我对此的反论点： Sivers足够早地根据$POET、Ayar和其他公司的规格定制激光器，在它们声名鹊起之前（类似于$POET到$MRVL Celestial的类比）。 也存在产量风险： 但Win Semi（稳懋）认证的潜在赢面可以抵消这一点。 稀释风险以扩大产能，对于每个早期阶段的公司来说始终存在。 去年我做了$LITE的论点研究，并且仍然看好这只股票用于Google TPU增长/OCS（光学电路交换）。 但今年，我的重点是： $SIVE，作为我个人对新一轮光子学架构转变的CW DFB激光器敞口。 我分享自己对把握从当前EML周期轮动到即将到来的CW DFB/硅光子周期的个人观点。
原推 ↗英文原文
Just in: $SIVE announces major partnership with O-Net and Enablence for CPO. Sivers will be the laser array supplier for CPO. This is thesis validation in effect as $SIVE becomes InP CW DFB supplier for silicon photonics. In simpler terms, this is the $LITE -> $FN relationship for current optical bottlenecks. And mirrors the existing $POET -> $MRVL Celestial CPO supply chain, but in Asia. Enablence makes the "Star Coupler", similar to $POET interposers. O-Net is a massive assembler, that packages them for the finished module. O-Net in HK is a supplier to companies like Huawei, ZTE, Ciena, Nokia, Fujitsu, and more.
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Sivers作为CW DFB激光器上游供应商，受益于向CPO/硅光子学的架构转换，与当前EML周期的Lumentum形成技术路线对比。
通常我不会回复喷子，但这个平台的虚伪确实令人印象深刻。 随机X平台散户： “为什么$Lite涨了1000%你之前不告诉我？” 我： “我在最早期就发布了这个可能的$Lite的论点，而且没有付费墙。” X平台散户： 😡，“我打算花$400付费墙来做多$ADBE并做空$PLTR”。 尤其是在我的$AXTI论点已经从$12涨到$50三个月后…… 我免费分享我所有的思考过程。 市场可以立即或以任何方式定价任何阿尔法。（我也会出错，尤其是像$ETOR这样从$65跌到$33的股票）。 然而，不是原来的模式——分析师以$2000+的价格向其他对冲基金出售论点，让他们慢慢建仓。 然后散户在$400亿+的估值买入，正如$Lite所呈现的那样。 我的账号之所以增长，是因为我是少数打破这种模式的分析师之一。我向所有人免费分发新颖的信息综合。 股票是正和游戏，如果论点方向正确，每个人都会受益。 （引用推文内容： $SIVE今天上涨+73.78%（市值$2.31亿）。 市场正在定价关于下一个潜在$Lite光子学的信息综合。 如果我必须解释区别： Lumentum的一个激光源主要从当前光学瓶颈中受益。 $SIVE的另一个激光源则是为即将到来的CPO/硅光子学瓶颈准备的。 Lumentum目前主要从$Nvidia和超大规模云服务商确保EML激光器产能中获益，用于当前可插拔光学收发器周期。 从当前EML瓶颈可以看出，超大规模云服务商正在购买任何800G/1.6T收发器及以下上游产能： - $AAOI（内部供应） - $COHR、$LITE（EML激光器+设计）-> $FN（组装） - $COHR、$LITE（EML激光器）-> Innolight / Eoptolink 接下来是什么？ 硅光子学和共封装光学。 向CPO的架构转换需要大量高功率CW DFB激光器阵列。 而这可能会引发容量需求的突然范式转变。 $SIVE受益于InP CW DFB激光器用于SiPh和CPO： 即将崛起的公司如： $AYAR、$POET采购$SIVE的激光器，但主要做先进封装。 然后它们向上输给更大的公司如$MRVL Celestial（采购$POET的中介层）。 然而，如果你往上游追溯，光源是$SIVE。 CW DFB激光器是光源引擎（$SIVE）；硅光子学封装（$POET等）是传输方式。 CPO规模尚未到来。但我们知道它正在逼近。 正如当前光学收发器周期所见： - $LITE和$COHR的光源比专注先进封装的$FN等公司获得更高的估值。 市场一直关注$POET，但错过了它们获得类似$SIVE类型光源的地方。 风险是存在的，包括面临$Lite、$COHR、$AVGO等多源竞争。所以，再强调一次，请自己做研究。 但我反对这种观点的理由是： Sivers足够早地为$POET、Ayar和其他公司定制激光器以满足规格要求，在它们成名之前（有点像$POET与$MRVL Celestial的类比）。 也存在容量风险： 但Win Semi认证的潜在优势抵消了这一点。 稀释风险以扩大产能，对于每个早期阶段的公司来说始终存在。 我去年做了$Lite的论点，至今仍喜欢这只股票用于Google TPU增长/OCS。 但今年，我专注于： $SIVE，作为我个人的CW DFB激光器敞口，用于新的光子学架构转换。 我分享自己的想法，捕捉从当前EML周期向即将到来的CW DFB/硅光子学周期的轮动。）
原推 ↗英文原文
Normally don’t respond to trolls, but the hypocrisy on this platform is pretty impressive. Random X retail: “Why didn’t you tell me about $LITE before it went up 1000% already?” Me: “Posts my thesis about the next possible $LITE at the very beginning, without paywalls.” X retail: 😡, “I’m going to pay $400 for a paywall to long $ADBE and short $PLTR instead”. Especially after my $AXTI thesis that already went from $12->$50 in 3 months... I distribute all my thought processes for free. And markets can price in any alpha immediately or however they want. (I get things wrong as well, especially with names like $ETOR that crashed from $65 to $33). However, instead of the original model where analysts sell a thesis for $2000+ to other hedge funds to slowly accumulate. Then retail buys at $40 billion+ as seen with $LITE. My account’s been growing because I’m one of the few analysts to break that model. And I distribute novel information synthesis for free to everyone. Stocks are a positive sum game where everyone benefits if a thesis is directionally correct.
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$SIVE是硅光子/CPO架构转变中的InP CW DFB激光器核心供应商，可能复制$LITE的估值扩张路径。
$SIVE今天已上涨+73.78%（市值2.31亿美元）。 市场正在对下一个潜在的 photonics 瓶颈进行信息综合定价。 如果我必须解释区别： Lumentum的一个激光源主要受益于当前的光学瓶颈。 而$SIVE的激光源则面向即将到来的CPO/硅光子学(SiPh)瓶颈。 Lumentum目前主要从$NVDA和超大规模云服务商那里获益，这些公司正在确保EML激光器的产能，用于当前的可插拔(optical transceiver)光收发器周期。 从当前的EML瓶颈可以看出，超大规模云服务商正在抢购任何800G/1.6T光收发器及上游产能，从： -$AAOI（内部供应） -$COHR、$LITE（EML激光器+设计）-> $FN（组装） -$COHR、$LITE（EML激光器）-> Innolight / Eoptolink 下一步是什么？ 硅光子学(Silicon Photonics)和共封装光学(Co-Packaged Optics,CPO)。 向CPO的架构转变需要大规模的高功率连续波(CW) DFB激光器阵列。 而这可能引发一次完全的、突然的需求量范式转变。 $SIVE受益于用于SiPh和CPO的磷化铟(InP) CW DFB激光器： 即将崛起的公司如： $AYAR、$POET使用$SIVE的激光器，但主要做先进封装(advanced packaging)。 然后它们向上输送给更大的公司如$MRVL Celestial（后者购买$POET的interposers）。 然而，如果你追溯到上游，光源是$SIVE。 CW DFB激光器是光引擎($SIVE)；硅光子学封装($POET等)是传输方式。 CPO规模尚未达到。但我们知道它即将到来。 正如从当前光收发器周期所见： -$LITE和$COHR的光源需求获得的估值远高于$FN等专注先进封装的公司。 市场一直在关注$POET，但错过了它们获取Starlight实际$ITE型光源的地方。 风险是存在的，包括与$LITE、$COHR、$AVGO等公司面临多源竞争。所以再次强调，请务必做自己的研究。 但我对此的反驳： Sivers足够早地为$POET、Ayar和其他公司定制激光器以满足规格要求——早在这两家公司变得流行之前（类似于$POET与$MRVL Celestial的类比）。 也存在产量风险： 但Win Semi认证的潜在成功可以抵消这一点。 为扩大产能而稀释股权的风险，对于每个早期阶段的公司来说始终存在。 我去年做过$LITE的研究，仍看好这只股票用于Google TPU ramp/光电路开关(OCS)。 但今年，我专注于： $SIVE，作为新一轮光子学架构转变的个人CW DFB激光器敞口。 我分享自己对捕捉从当前EML周期向即将到来的CW DFB/硅光子学周期轮动的思考。
原推 ↗英文原文
$SIVE is now up +73.78% today ($231M MC). As markets price in information synthesis of the next potential $LITE of photonics. If I had to explain the difference: One laser source in Lumentum primarily benefits from current optical bottlenecks. The other in $SIVE is for the upcoming CPO/Silicon Photonic bottleneck. Lumentum is largely benefiting right now from $NVDA and hyperscalers securing capacity of EML lasers for current pluggable optical transceivers cycles. As seen with the current EML bottleneck, hyperscalers are buying out any 800G/1.6T transceiver + upstream capacity from: - $AAOI (in-house) - $COHR, $LITE (EML lasers + design) -> $FN (assembly) - $COHR, $LITE (EML lasers) -> Innolight / Eoptolink What's next? Silicon Photonics and Co-Packaged Optics. The architectural shift to CPO requires massive arrays of high-power CW DFB lasers. And this would likely trigger a complete, sudden paradigm shift in volume demand. $SIVE benefits from InP CW DFB lasers for SiPh and CPO: The up and coming companies like: $AYAR, $POET source $SIVE lasers, but primarily do advanced packaging. Then they feed up to larger companies like $MRVL Celestial (that buy $POET's interposers). However, if you go upstream, the light source is $SIVE. CW DFB lasers are light engine ( $SIVE ); the silicon photonics package ( $POET and others) is how it gets transmitted. CPO scale is not there yet. But we know it's coming. And as seen with current optical transceiver cycles: - Light sources from $LITE and $COHR demand much higher valuations than companies like $FN that focus on advanced packaging. Markets have been focusing on $POET, but missed where they get the actual $LITE type light source for Starlight. The risks are present including facing multi-source competition with $LITE, $COHR, $AVGO, and others. So again, make sure to do your own research. But my argument against that: Sivers been early enough to tailor custom lasers to fit $POET, Ayar, and other specifications before they got popular (sort like the $POET to $MRVL Celestial analogy). There's volume risks as well: But the potential Win Semi qualification offsets that. Dilution risk to scale capacity, is always present with every early-stage company as well. I did my thesis on $LITE last year and still love the stock for Google TPU ramp/OCS. But this year, I'm focusing on: $SIVE, as my personal CW DFB laser exposure for the new photonics architectural shift. I’m sharing my own thoughts on capturing the rotation from the current EML cycle to the upcoming CW DFB/Silicon Photonics cycle.
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列出 AI Displacement 等权组合年初至今回报，认为自己无意中做出了一个很强的 ETF。
我看了一下书签数量，才意识到： 我低调地搞出了一个很能打的 ETF？ AI Displacement 等权组合年初至今： $AXTI：+191.53% $AAOI：+144.47% $SNDK：+140.38% $SOI：+114.3% $LITE：+61.22% $AEHR：+60.97% $BE：+56.56% $VRT：+47.42% Samsung：+42.8% $TER：+37.99% $MU：+35.1% SK 海力士：+34.42% $NBIS：+25.57% $COHR：+24.92% Mediatek：+17.01% $INTC：+16.23% $ASML：+15.63% Advantest：+11.78% $TSM：+5.85% $COPX：+4.56% $TSEM：+2.44% $MRVL：-1.71% $NVDA：-4.55% $AVGO：-7.32% 这只是我脑子里第一时间想到的名字。 我个人持有其中很多，也没持有另外一些，比如 $NVDA 或 $BE，但我还是把它们放进来了。 不过老实说，如果我现在不是在主动管理仓位集中度，我会很愿意把这些名字等权配置。 我预计 AI Displacement ETF 还会继续上涨： 因为这些公司都是人工智能扩展算力和推理最主要的受益者。
原推 ↗英文原文
I realized by the amount of bookmarks. I lowkey dropped a banger ETF? AI Displacement Equal Weighted YTD: $AXTI: +191.53% $AAOI: +144.47% $SNDK: +140.38% $SOI: +114.3% $LITE: +61.22% $AEHR: +60.97% $BE: +56.56% $VRT: +47.42% Samsung: +42.8% $TER: +37.99% $MU: +35.1% Sk Hynix: +34.42% $NBIS: +25.57% $COHR: +24.92% Mediatek: +17.01% $INTC: +16.23% $ASML: +15.63% Advantest: +11.78% $TSM: +5.85% $COPX: +4.56% $TSEM: +2.44% $MRVL: -1.71% $NVDA: -4.55% $AVGO: -7.32% These are just the first names that came to my head. I own a lot of these personally (and don't own others like $NVDA or $BE ) but included them anyway. But honestly, I'd be happy to equal weight all these names if I weren't actively managing my portfolio concentrations. I expect the AI Displacement ETF to keep rising: As they're the largest beneficiaries of scaling compute and inference for artificial intelligence.
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认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
原推 ↗英文原文
The news is pretty heartbreaking: $META 20% layoffs $ORCL layoffs $AMZN 600,000 workers long term layoffs as they get replaced by robotics and AI. This is a dystopian future. Companies end up with record profits, without the cost of human labor. The only way to benefit: Investing in AI as a hedge. The next few years feels like the main way to escape the permanent underclass, caused by AI displacement. The return on equity derived from AI will go to the shareholders. While the gap between those who live paycheck to paycheck, not invested in stocks. Will continue to grow. This is not the future. - Opus 4.6 is good enough to replace most software engineers today. - Waymo has started to replace taxi drivers in places like SF today. - We know $TSLA Humanoids are coming next as they’re widespread in China, today. This is happening now. Disruptions in Iran are only temporary to the accelerating AI buildout. AI has hit the inflection point, and looks inevitable. You’re already seeing US job revisions down close to 1 Million, which is staggering. And we’re seeing the newest LLMs be built by their previous models, as AI approaches the singularity (AI led recursive growth). Investing in where the compute and hardware needed to run the AI: From the datacenter/power/grid sector: $NBIS, $XLU, $VRT, $BE Photonics sector needed to scale AI: $LITE, $COHR, $AAOI, $TSEM Semi sector needed for the chips: $NVDA, $TSM, $ASML, $INTC Memory sector for the chips: $MU, $SNDK, SK Hynix, Samsung ASICs for hyperscaler AI inference: $AVGO, $MRVL, Mediatek Yields sector to make sure the chips work: $TER, $AEHR, Advantest Along with the raw materials or substrates needed for AI: $AXTI, $COPX, $SOI And many others become the single, largest, hedge against widespread AI displacement. Whoever owns the means of compute (bottlenecks, materials, datacenters): Owns the future of AI.
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认为买 Sumitomo 比买 AXT 更像是在降低弹性；AVGO 的光学故事也不如 ASIC 逻辑直接。
这就像买住友而不是 $AXTI。 你买的是一个大巨头，但对这个行业增长的直接暴露更低。一个可能年初至今涨 15%，另一个可能涨 300%。 把 $AVGO 当成光学相关故事去买，而它很大一部分增长其实来自 ASIC，也不是个好主意。不过作为长期多头，它本身还是很不错的。
原推 ↗英文原文
Same as going long on Sumitomo instead of $AXTI. You're buying a big giant for lower direct exposure to the sector growth. Once might be up 15% YTD, the other might be up 300%. Buying $AVGO for optical related stuff when a large portion of their growth comes from ASICs is not a great idea. But as a long itself, it's solid.
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继续看好 AAOI，认为市场忽略其产能与链路价值
$AAOI 没有发生什么新变化，看起来反而是个买入机会。 我同意 Rosenblatt 分析师的说法： “这家公司不到 80 亿美元的市值，和它 2027 年可能达到 40 亿美元的收入相比，实在太低了。” 分析师可以对执行能力保持谨慎，而产能扩张从一开始就是核心问题。 我不觉得这里有什么新东西，这类争论只会一直持续到他们真正交付为止。 超大客户需求不是问题。 $GOOGL 和 $AVGO 也都发出了可插拔收发器生命周期延长的信号，但由于 $AAOI 覆盖了从激光到设计再到组装的整条供应链，它拥有很多人忽略的可选性。
原推 ↗英文原文
Nothings changed with $AAOI and it looks like a buying opportunity. I’d side with Rosenblatt analysts here where “The company’s sub-$8B market cap is too low when its 2027 revenue potential is $4B”. Analysts can be bearish on execution, and scaling capacity was always the focal question. Don’t think anything’s new around here and this will always be debated until they actually deliver. Hyperscaler demand is not a question. $GOOGL and $AVGO also signaled pluggable transceiver life extensions, but since $AAOI covers the supply chain from laser to design to assembly, they can have optionality that most people miss
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AXTI与住友垄断InP衬底，成AI光子化关键瓶颈。
匿名者，你听了我关于 $AXTI 的论点吗？ 警告：整个 AI 行业可能会受到两家公司的瓶颈制约： 1. $AXTI（市值 7 亿美元） 2. $SMTOY（市值 317 亿美元） 这两家公司控制了全球 60–70% 以上的磷化铟(InP)衬底市场。 未来的 $NVDA、$GOOGL TPU v7 集群、$META、$MSFT、$AMZN 超大规模计算集群都需要基于磷化铟(InP)的激光器和接收器。 $AVGO、$LITE、$COHR 使用磷化铟(InP)用于 800G/1.6T 光收发器中的电吸收调制激光器(EML)、分布反馈激光器(DFB)及其他光基础设施。 如果没有磷化铟(InP)衬底，供应链就会停滞。 在查看了从 TPU 到 Maia 的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)、GPU 和超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球磷化铟(InP)衬底市场，涵盖几乎所有领域： - 超大规模计算光学（TPU 集群等） - 光收发器（5G、数据） - 激光雷达(LiDAR)（Robotaxi、无人机、军事） - 光模块（互连集群） - 硅光子学激光芯片（Nvidia 未来的共封装光学(CPO)以及 Intel/Broadcom 硅光子学引擎使用磷化铟(InP)连续波激光阵列。） 由于这些公司占据了市场供应的大多数： - AXTI（估计 ~30–35%） - 住友（估计 ~30%） - JX 日本（估计 10-15%） 仅此而已。（例如，Yole 2021 年的行业报告指出“住友电工 + AXT 共同拥有‘超过 75%’的磷化铟(InP)衬底市场”） 超大规模计算/AI 正在向光子学转变，但整个 AI 行业是脆弱的。 如果 $AXTI 或 $SMTOY 中的任何一家停止供应材料，整个未来的 AI 建设就会瘫痪。更疯狂的是，一家 7 亿美元的公司可能成为这一切的中心。 随着 AI 行业向光子学转变，磷化铟(InP)衬底可能会与高带宽内存(HBM)一起成为最大的瓶颈之一。
原推 ↗英文原文
Hope you listened to my $AXTI thesis anon? https://t.co/d5eg0BIhlG
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谷歌CTO暗示AI支出激增，澄清市场误判，看好AI基建加速。
@4intheflames $GOOGL 人工智能首席技术官刚刚明确暗示未来8年将增加支出。 https://t.co/zSf77JAHBQ （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： “谷歌数据中心建设规模可能超过1万亿美元” 这对谷歌TPU生态系统1.5万亿美元以上的资本支出意味着什么： 对$LITE、联发科、$AVGO、$TSM、SK海力士、三星等均为广泛利好。 在接受福布斯关于人工智能资本支出的采访时，$GOOGL首席技术官表示： “今年（资本支出）在1750亿至1850亿美元之间，假设不会下降，人们可以想象这在10年内可能延伸到某个巨大的数字。” 福布斯评论道：“谷歌的数据中心野心与OpenAI有着巨大差异：谷歌是一台赚钱机器。” 昨天，市场抛售了OpenAI和$ORCL相关的半导体股票，导致一些“星际之门”相关项目暂停。 市场将OpenAI的成长阵痛与由最富有的超大规模云服务商资助的更广泛的人工智能基础设施建设混为一谈。 从$GOOGL和印钞机般的Mag7角度来看： 人工智能基础设施建设在未来十年看来只会加速。
原推 ↗英文原文
@4intheflames $GOOGL CTO of AI literally just signaled increase spend over the next 8 years. https://t.co/zSf77JAHBQ
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光子学成AI新瓶颈，激光与InP紧缺，CPO变革预计2028年。
光子学是下一个主要瓶颈。 $NVDA 提前发出了每一个瓶颈的信号：从 HBM（与三星/SK海力士合作）到 CoWoS，再到如今对 $LITE 和 $COHR 的投资： 激光晶圆厂、共封装光学(CPO) 和磷化铟(InP)。 针对每个瓶颈中最具非对称性的多头标的： 1. InP 衬底：$AXTI，住友，JX 2. InP 上游原料+加工：$AXTI 3. 激光器：$AAOI（自研），$AVGO，$COHR，$LITE 4. CPO：$TSEM，Soitec。 $AAOI 财报电话会确认了激光器瓶颈，三家超大规模云厂商希望买断其能生产的所有光收发器。 $AXTI 的积压订单确认了 InP 衬底瓶颈。（玩家图片来源：IndexBox） CPO 瓶颈被广泛预期将在 2027-2028 年末发生。 $AVGO 关于“CPO”的评论带来了短期波动。但这不同于正在发生的激光->收发器和 InP 瓶颈。 关于时间框架： $AAOI，$LITE，$COHR 和激光收发器瓶颈正在实时发生（并预计像内存一样在 2028 年前恶化）。 $AXTI，住友和 InP 衬底瓶颈正在实时发生（并预计只要 AI 在未来多年使用光子学，情况就会恶化）。 由 $NVDA 引领的向 CPO 的大型架构转变可能发生在 2028 年。 这些对于 AI 的下一个范式转变来说似乎是不可避免的。
原推 ↗英文原文
Photonics is the next major bottleneck. $NVDA has signaled each one ahead of time from: HBM (with Samsung/Sk Hynix) to CoWoS and now with the $LITE and $COHR investment: Laser Fab, CPO, and InP. For the most asymmetrical longs in each bottleneck: 1. InP Substrates: $AXTI, Sumitomo, JX 2. InP Upstream Feedstock + Processing: $AXTI 3. Lasers: $AAOI (internal), $AVGO, $COHR, $LITE 4. CPO: $TSEM, Soitec. The laser bottleneck was confirmed from the $AAOI earnings call when three different hyperscaler wanted to buy out any optical transceiver they can produce. The InP substrate bottleneck was confirmed with the backlog from $AXTI. (Image source of players: IndexBox) And the CPO bottleneck is widely expected to happen later in late 2027-2028. There's short term volatility from $AVGO comments around "CPO" in specific. But that's different than the laser -> transceiver and InP bottlenecks happening now. For timeframes: $AAOI, $LITE, $COHR and the laser transceiver bottleneck is happening real time (and is expected to get worse like memory into 2028). $AXTI, Sumitomo and the InP substrate bottleneck is happening real time (and is expected to get worse as long as AI uses photonics for the many years to come). And the larger architectural shift to CPO led by $NVDA will likely happen in 2028. These feel inevitable for the next paradigm shift in AI.
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谷歌AI基建支出庞大且持续加速，利好相关半导体供应链。
“谷歌数据中心建设规模可能突破1万亿美元” 这对谷歌TPU生态系统1.5万亿美元以上的资本支出(capex)意味着什么： 对$LITE、联发科(Mediatek)、$AVGO、$TSM、SK海力士、三星等普遍利好。 在接受福布斯关于AI资本支出的采访时，$GOOGL首席技术官(CTO)表示： “今年在1750亿至1850亿美元之间，假设不会下降，人们可以想象这在10年内可能延伸到某个巨大的数字” 福布斯评论道：“谷歌的数据中心野心与OpenAI有着巨大差异：谷歌是一台赚钱机器” 昨日，市场抛售了OpenAI和$ORCL相关的半导体股，暂停了一些Stargate相关项目。 市场将OpenAI的成长阵痛与由最富有的超大规模云服务商(hyperscalers)资助的更广泛的AI基础设施建设混为一谈。 从$GOOGL和印钞机般的Mag7角度来看： AI基础设施建设在未来十年看来只会加速。
原推 ↗英文原文
“Google’s Data Center Buildout Could Top 1 Trillion” The implications for $1.5T+ in capex spend for the Google TPU ecosystem: From $LITE, Mediatek, $AVGO, $TSM, SK Hynix, Samsung and others are widely positive. In an interview with Forbes on AI capex spend, $GOOGL CTO stated: “We’re at $175 to $185 billion this year, one could imagine, assuming it's not going to go down, that this could extend to some big number over 10 years” Forbes comments: “There’s a big difference between Google’s data center ambitions and OpenAI’s: Google is a money-making machine” Yesterday, markets sold off semi names from OpenAI + $ORCL putting a pause on some Stargate related projects. The market conflated OpenAI's growing pains with the broader AI infrastructure buildout funded by the richest hyperscalers. From $GOOGL and a money-printing Mag7 perspective: The AI buildout only looks to accelerate over the next decade.
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市场误读博通CEO言论致光模块大跌，是逢低买入良机。
@PhotonCap 完全同意！市场似乎未能准确把握 $AVGO CEO 关于共封装光学(CPO) 和铜缆寿命延长的微妙语气。今天，由于这种误解，光子学(光半导体) 相关股票普遍大幅下跌，这正是逢低买入(捡拾) 的绝佳时机。
原推 ↗英文原文
@PhotonCap 전적으로 동의합니다! 시장이 CPO와 구리선 수명 연장에 대한 $AVGO CEO 발언의 미묘한 뉘앙스를 제대로 파악하지 못한 것 같습니다. 오늘은 이러한 오해로 인해 전반적으로 크게 하락한 포토닉스(광반도체) 관련주들을 줍기(매수하기)에 아주 좋은 타이밍이었습니다.
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澄清AVGO推迟CPO利好传统光模块，市场误读导致板块错杀。
整个市场都误解了 $AVGO 首席执行官关于共封装光学(CPO)的言论。 这导致今天光子学板块从 $LITE 到 $COHR 在早盘出现抛售。 市场往往根据头条新闻进行交易，却忽略了所有细微差别。 CPO 是光子学技术的一种演进。 这种延迟对某些光子学参与者如 $AAOI 来说极其利好。 虽然对 Soitec 等 CPO 公司而言总体是负面的。 市场和人们将 CPO 与整个光子学板块混为一谈。 Tan 基本上只是给传统光收发器制造商的产品生命周期带来了巨大的延长。 原话如下： “我想说的是，你不需要去追逐那些被称为 CPO 的闪亮新事物，即使我们是 CPO 的领导者。CPO 会在适当的时候到来，不是今年，也许也不是明年，但会在它该来的时候到来。” 事实上，$GOOGL 拒绝 CPO 且 $AVGO 将 CPO 时间线预测推迟数年： 这可能是对许多光子学公司（如开盘下跌 8% 后翻红的 $AAOI（光收发器））来说最棒的事情。 机架内部，超大规模数据中心仍可使用铜缆。但对于更长距离，使用的是可插拔光收发器（现在其生命周期延长了数年）。 个股往往被一起抛售，但最大的赚钱机会在于理解大家忽略的细微差别。
原推 ↗英文原文
The entire market misunderstood $AVGO CEO’s comments around CPO. This caused a selloff today on the photonics sector from $LITE to $COHR in the morning. Markets trade off headline news but miss all the nuances. CPO is an evolution to photonics. This delay is extremely bullish to certain photonics players like $AAOI. While net negative to CPO companies like Soitec. Markets and people conflated CPO with the photonics sector as a whole. Tan basically just gave traditional transceiver makers a massive extension on their product lifecycle. The exact quote: "What all I'm trying to say is you don't need to go run into some bright shiny objects called CPO, even as we are the lead in CPOs. CPOs will come in its time, not this year, maybe not next year, but in its time." In fact, $GOOGL rejecting CPO and $AVGO delaying CPO timeline projections by years: Is probably the most greatest thing that can happen to many photonics companies like $AAOI (optical transceivers) that dropped 8% on open then recovered to green. Inside the rack, hyperscalers can still use copper. But for longer distances, pluggable optical transceivers are used (and now get a life extension by years). Names get sold off all together, but where the most money to be made is understanding the nuances everyone misses.
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澄清博通CPO评论，指出市场误将CPO利空等同于光子学板块利空。
是的，光子学板块今天被抛售，我的持仓也有轻微回撤，但我觉得人们误解了 $AVGO 关于共封装光学(CPO) 评论的细微差别。 这对许多光模块(optical transceiver)个股其实是非常看涨的。比如 $AAOI 先跌了 9% 但最终翻红。 主要是像 Soitec 这样具有 CPO 敞口的个股会是净利空。 但大多数人甚至算法都将 CPO 与光子学混为一谈，导致整个板块被抛售。
原推 ↗英文原文
Yeah photonics got dumped today, had a slight drawdown too, but feel like people missed the nuance for $AVGO CPO comments. It’s actually extremely bullish for a lot of the optical transceiver names. Stuff like $AAOI sold off 9% then ended up green. Mainly cpo exposure names like soitec would be net negatives Majortity of people and likely algos conflate cpo with photonics though so whole sector got sold off
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分析$AAOI空头逻辑与执行风险，看好其超大规模云需求及潜在10倍回报。
我看到的关于 $AAOI 的空头基本观点是：2.5亿美元的定向增发(ATM)不足以覆盖产能爬坡，他们还需要5000万至2.78亿美元（考虑到规模，这只是小钱）。 主要论点始终围绕执行力和潜在逆风： - 他们能否将台湾组装业务回流美国 - 扩大激光产能，以便不再零星使用 $COHR - 制造扩张的执行情况 - 中国厂商是否会导致毛利率压缩 - 共封装光学(CPO)的到来（$GOOGL + $AVGO 已确认其退出） 我不认为这是客户集中度问题，因为从 $AMZN、$MSFT 到 $META 的每个超大规模云服务商都在抢购他们能生产的所有供应。 但我认为风险已经计入市值(MC)，超大规模云服务商的需求加上 $NVDA 资助生态系统可能是最大的顺风+信号。 如果他们能执行到位，这多少让我想起 $RKLB 的“中子星”火箭。如果完美执行，我看到10倍的空间。如果不能，那就是我为上行空间承担的风险。
原推 ↗英文原文
The base case I’ve seen from $AAOI short sellers was that the $250m ATM doesn’t cover the capacity ramp and they needed $50m-$278m more (which is pennies given scale) The main argument is always around execution and potential headwinds: - whether they can reshore Taiwan assembly to US - scale up laser capacity so they don’t need to use $COHR here and there - executing on manufacturing expansion. - whether there’s margin compression from Chinese players - cpo arrival ( $GOOGL + $AVGO confirmed its way out) I don’t see it being a customer concentration problem since every hyperscaler from $AMZN, $MSFT, $META are trying to buy up any supply they can make. But I see the risk being priced into MC already and hyperscaler demand + $NVDA funding the ecosystem is probably the biggest tailwind + signal. It sorta does gives me $RKLB neutron vibes if they can execute. And if they can flawlessly I see it being a 10x. And if they don’t, that’s the risk I’m taking for the upside.
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澄清博通观点，认为其表态利好AAOI。
我想你误解了，$AVGO 表示共封装光学(CPO)仍处于早期阶段。这与光子学/光收发器整体市场是不同的。他表示可插拔光模块和铜缆将继续主导市场。这一表态以及 $GOOGL 在另一份分析师报告中拒绝 CPO，对 $AAOI 来说是非常看涨的信号。
原推 ↗英文原文
Think you misunderstood, $AVGO said CPO was early. That’s different than photonics/optical transceivers as a whole. He said pluggable optical and copper will continue to dominate the market. This statement and $GOOGL rejecting CPO from the other analyst note is incredibly bullish for $AAOI.
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看好AAOI当前估值，若Q2指引向好有望重估至470亿，建议定投。
感觉目前 $120-150亿 的市值(Market Cap)是一个不错的短期风险调整后价值。如果有关于其 2027 年第二季度(Q2 2027)预测的更多积极信号，估值应该会重新定价至 $470亿 左右（当然需要关注共封装光学(CPO)等领域的竞争格局，但 $GOOGL 和 $AVGO 已经证实该领域前景广阔）。鉴于 $AAOI 的高波动性，如果出现更好的入场点我并不意外，但定投(Dollar Cost Averaging)也不会错。
原推 ↗英文原文
Feels like $12-15B MC is a good near term risk adjusted value right now. And if there’s more positive signals toward their q2 2027 projections, should get repriced toward that $47B mark (of course need to monitor the landscape with cpo and others but $GOOGL and $AVGO helped confirm it’s way out) Given the high volatility with $AAOI would not be surprised if there’s better entry points but cost averaging can’t hurt.
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$AAOI 具备全产业链美国制造优势，有望超越同行营收，高确信度看涨。
$AAOI 令人极度兴奋。 如果他们能执行到位，明年市值有望从 70 亿美元重估至 350 亿美元甚至更高。 我将简要概述行业格局及原因： 组装环节： -> 从 $LITE / $COHR 采购激光器 -> 根据蓝图组装 -> 然后销售光收发器(transceiver)。 $FN (亚洲) -> 市值约 200 亿美元。 预计营收约 40 亿美元，毛利率 12.4%。 设计 + 组装： - 从 $LITE / $COHR 采购激光器，设计 800G 和 1.6T 产品 -> 然后销售光收发器。 中际旭创 (中国)：市值约 840 亿美元 毛利率约 46.2%，预计营收约 110 亿美元 新易盛 (中国)：市值约 500 亿美元： 预计营收约 53 亿美元 激光器： - 制造激光器出售给中际旭创 + 新易盛，或制造激光器 + 设计后交给 $FN 组装。 $LITE，市值 550 亿美元： 2026 财年预估营收约 29.1 亿美元（~40% 毛利率） （他们也做激光器以外的业务，例如 $LITE 通过 Cloudlite 进行设计 -> $FN 根据蓝图组装，但并非端到端全流程）。 （$COHR 和 $AVGO 也这样做） _ _ _ _ _ _ 整个供应链（激光芯片、设计和组装） $AAOI 市值 75 亿美元： 2027 年中点预估年化经常性收入 (ARR) 约 45 亿美元（40% 毛利率） - $AAOI 制造激光器（像 $LITE），从零开始设计（像中际旭创），然后像 $FN 一样组装： -> $AAOI 内部完成 $LITE / $COHR 的激光器制造 -> $AAOI 完成中际旭创/新易盛的光收发器设计。 -> $AAOI 完成 $FN 的组装。 这实现了全环节的利润率扩张/优化。 最棒的是，他们预计将超越 $LITE 2026 财年预估的约 29.1 亿美元营收... 通过：2027 年中点实现约 45 亿美元 ARR 当你看到 $AAOI 的 75 亿美元市值。 再看光电子供应链的每个部分，从市值 550 亿美元的 $LITE 到市值 550 亿美元的新易盛。 任何人都能看到如果执行到位，其原始、纯粹的上涨空间。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: 高确信度做多：$AAOI。 我真切地认为这很容易在明年实现 3 倍增长。 英伟达资助了 $COHR，后者在马来西亚制造 800G/1.6T 产品。 $LITE 使用泰国的 $FN 进行量产，并在泰国拥有自己的制造设施。 我会不断强调这一点，但 Applied Optoelectronics ($AAOI) 是唯一纯正的美国制造光收发器标的。 再次强调，两家“美国”光电子公司将业务外包到亚洲，而 $AAOI 花了多年时间在德克萨斯州建立产能和晶圆厂。 英伟达刚刚资助了 $COHR 和 $LITE 以建立美国版本，以隔离其最关键供应链的地缘政治风险。 但猜猜谁已经建立了供应链布局，在这方面领先数年？$AAOI。 $LITE（550 亿美元市值）2026 财年预估约 29.1 亿美元 $AAOI（71 亿美元市值）2027 年下半年：43.5 亿美元 ARR。 如果管理层执行到位，$AAOI 实际上将超越 Lite 2026 年的营收预测（且毛利率约 40%）。 再说一次。$AAOI（70 亿美元市值）如果达成预测，将超越 $LITE（550 亿美元市值）整个 2026 年的营收预测。 亚洲的 $FN，2026 年预测实际上与 AAOI 完全相同。 ~43.9 亿美元营收，毛利率 12.4%。市值 200 亿美元（且毛利率低得多） 即使 $AAOI 只达成目标的 70%，其估值也很可能大幅重估，远超当前市值。 简而言之：在这些价位很难看到 $AAOI 的下行风险，尤其是 3-4 家超大规模云厂商（可能是 $GOOGL, $MSFT, $AMZN）希望购买其未来几年的所有产能。且 $GOOGL 不采用共封装光学(CPO) 路线。 $AAOI 在增长方面超越 $CRDO, $ALAB, $LITE 等，并受益于光电子主题而非铜缆（前两者）。 只要管理层交付成果，$AAOI 仍然是 1 年期高确信度的非对称性机会。
原推 ↗英文原文
$AAOI is extraordinarily exciting. There is a chance this re-rates to $35B+ or higher next year from $7B if they can execute. I'll give a TLDR of the landscape and a simple explanation why: Assembly: -> Lasers from $LITE / $COHR -> assembles from blueprints -> then sell the transceiver. $FN (Asia) -> ~$20B MC. ~$4B projected revenue, 12.4% gross margins. Design + Assembly: - Buys lasers from $LITE / $COHR, design the 800G and 1.6T -> then sells the transceiver. Innolight (China): ~$84B MC ~ 46.2% gross margins, ~$11B projected revenue Eoptolink (China): ~$50B MC: ~$5.3B projected revenue Lasers: - Creates the Lasers to sell to Innolight + Eoptolink or creates the lasers + design to give to $FN to assemble for them/. $LITE, $55B MC: FY 2026 est. ~$2.91B (~40% margin) (they also do more than lasers, eg. $LITE with Cloudlite does design -> $FN to assemble based on blueprints too, but not the entire process end-to-end). ( $COHR and $AVGO do this too) _ _ _ _ _ _ Entire supply chain (laser chips, design, and assembly) $AAOI $7.5B MC: Midpoint 2027 est. ~4.5B ARR (40% margin) - $AAOI makes the laser (like $LITE), designs it from ground up (like Innolight), then assembles it like ( $FN ): And it's primarily made in the USA. -> $AAOI does the $LITE / $COHR lasers in-house -> $AAOI does Innolight/Eoptolink transceiver design. -> $AAOI does $FN's assembly. This is possible margin expansion/optimization across the board. Best of all they're projected to leapfrogging $LITE's FY2026 projected ~$2.91B revenue... By doing: ~4.5B ARR mid-year 2027 When you look at $AAOI's $7.5B Marketcap. And you look at each part of the photonics supply chain from $LITE at $55B to Eoptolink at $55B. Anyone can see the raw, unadulterated upside if they execute.
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CPO技术前景广阔，NVDA积极布局，AVGO虽失META但仍有其他大客户。
@JK30998937 不，共封装光学(CPO)无论如何都是大势所趋，只是目前情绪略微偏空。$NVDA 正在积极追求这一技术，即使 $GOOGL 没有。这相当于 $META 放弃其专用集成电路(ASIC)项目，且 $AVGO 可能失去一个客户。但博通(Broadcom)仍拥有谷歌和其他超大规模云服务商。
原推 ↗英文原文
@JK30998937 Nah, CPO is up and coming anyway it's just slightly bearish. $NVDA is actively pursuing it even if $GOOGL doesn't. It's the equivalent of $META dropping its ASIC program and $AVGO possibly losing a customer. But Broadcom still has Google and other hyperscalers.
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列举AI半导体供应链各环节代表公司及代码
@jahintanvir_ 大概包括这些： 内存 - $MU, 三星, SK海力士, 闪迪 晶圆代工, 封装 - $INTC, $TSM, $AMKR 光子学(Photonics) - $LITE, $COHR, $AAOI 专用集成电路(ASICs) - $AVGO, $MRVL 连接 - $ALAB, $CRDO 电力/电网 - $XLU 数据中心 - $NBIS, $CIFR, $WULF
原推 ↗英文原文
@jahintanvir_ Probably the likes of these: Memory - $MU, Samsung, SK Hynix, Sandisk Foundries, Packaging- $INTC, $TSM, $AMKR Photonics - $LITE, $COHR, $AAOI ASICs - $AVGO, $MRVL Connectivity - $ALAB, $CRDO Power/Grid- $XLU Datacenters - $NBIS, $CIFR, $WULF
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$AAOI若达预期市值或达250-300亿，核心持仓但存执行风险。
财报后，如果$AAOI 达成预期，明年市值有望从$50亿轻松跃升至$250亿-$300亿。它是少数“美国制造”（德克萨斯州Sugarland）的公司，对比竞争对手：$LITE（全球）、$COHR（全球）、$FN（泰国）、$AVGO（全球）、中际旭创（中国）和易飞扬（中国）。因此它可能像$INTC对比$TSM、$MU对比SK海力士那样获得“美国溢价”。但看营收：FY营收4.56亿美元，2027年ARR预计45.36亿美元（~900%+增长）。加上30%-40%的低端利润率预期及超大规模云厂商认证，这太疯狂了。虽有$2.5亿ATM增发，但相比预期只是九牛一毛。这部分极有趣：管理层称800G、1.6T模块的需求和产能到2027年中可能激增近10倍。这对$IQE、Landmark等外延晶圆(epiwafer)公司及更上游的$AXTI也是巨大顺风。$AAOI是2026-2027年的核心持仓，但始终存在交付执行的風險。$250-300亿市值预期听起来超现实，但如果达成$43.5亿ARR（900%+增长），光电子规模化在2028-2029年可能继续扩大，财报确实惊人。
原推 ↗英文原文
After earnings, $AAOI could easily be a $25B-$30B company next year from $5B if they hit their projections. And they're one of the only "Made in America" (Sugarland, Texas) companies out of - $LITE (global) - $COHR (global) - $FN (Thai) - $AVGO (global) - Innolight (China), and Eoptolink (China). So they likely get that "America" premium like $INTC compared to $TSM and $MU compared to Sk Hynix. But from revenue: FY Revenue: $456 million 2027 ARR by : $4.536B (~900%+ growth). Off high 30's - low 40% projected margins + hyperscaler qualifications. This is wild. But there was a $250M ATM, but that's typically pennies compared to the projection. This part is extremely interesting: -> Management stated that demand and capacity for 800G, 1.6T modules could surge nearly 10x by mid-2027. This is also a large tailwind for epiwafer companies too like $IQE and Landmark and more upstream like $AXTI. $AAOI is a core hold over 2026-2027, but there's always execution risks if they can deliver. $25-30B MC projections sound surreal but that's how wild the earnings was if they hit $4.35B ARR, off 900%+ growth (and photonics scale up is likely to continue even further into 2028-2029)
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AAOI因纯美国制造获溢价，对比其他光模块厂商。
@Investmnt_Eagle $LITE, $COHR, 中际旭创(Innolight), $AVGO, 和 新易盛(Eoptolink)。 $AAOI 是少数纯“美国制造”的德州晶圆厂之一。因此它将获得溢价。
原推 ↗英文原文
@Investmnt_Eagle $LITE, $COHR, Innolight, $AVGO, and Eoptolink. $AAOI is one of the only pure "Made in America" texas fab. So it will get the premium.
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深度解析$IQE：通过出售台湾业务去债，转型InP光子学产能，类比矿企转AI。
深入解析 $IQE（市值1.79亿美元）： IQE隐藏的磷化铟(InP)期权价值 vs LandMark 35亿美元的估值。以及 $IREN / $CRWV 等“矿企”向光子学(Potonics)转型的逻辑： 此前我做过一个高层级的“淋浴思考”概览，例如 $AXTI -> $IQE -> $LITE -> $GOOGL TPUs，但这次是更深入的尽职调查(DD)。 基本上：IQE是全球最大的独立商用化合物半导体外延晶圆代工厂，按反应炉数量和物理产能计算。 然而，由于受困于低毛利的传统无线业务和短期流动性约束，其估值处于困境状态。 LandMark Optoelectronics (TPEX: 3081) 是最接近的对比标的。作为800G和1.6T光互连市场中AI InP需求的纯代理标的，LandMark市值约38亿美元，相比市值1.75亿美元的 $IQE 享有巨大溢价。 但如果深入看底层硬件，这种脱节非常有趣： LandMark的运营规模在物理上受限。据估计，他们在台湾单一校区仅运营约27-30台金属有机化学气相沉积(MOCVD)反应炉。 相比之下，IQE在全球拥有超过100台MOCVD和分子束外延(MBE)系统。 IQE光子学资产基础的潜在重置价值和结构性产能似乎远超其当前公开市场估值。 这有点像比特币矿企拥有3GW产能 vs 750MW产能，如果进行转换，前者有巨大的变现期权价值。 我们也看到了光模块瓶颈： -> 下游对光收发器(Optical Transceivers)的需求正在以前所未有的速度加速。 -> 来自 $GOOGL、$MSFT、$AMZN 等的极端需求直接向上游硬件供应链传导。 这给Innolight等光模块集成商、$COHR、$LITE 和 $AVGO 等光组件制造商，以及最终为 foundational 激光芯片生长原始外延晶圆的商用外延代工厂带来了巨大压力。 由于其他玩家触及物理产能天花板，像 $COHR 这样的垂直整合玩家已满载，超大规模云厂商和模块制造商迫切需要在 $IQE 这样的玩家中寻找替代产能。 而且... 隐藏在IQE合并报表之下的是大量的 Aixtron AIX 2800G4-TM 反应炉。 这些反应炉原生具备双能力(GaAs/InP)，可以以相对较低的成本（每台50万-150万美元）重新用于InP生产，但需要数月或一年时间来重构。当然，执行层面增加了资格认证和良率风险（类似于比特币矿企对GPU进行软件编排，如 $CRWV）。 但无论如何，IQE拥有类似 $IREN 或转型HPC的比特币矿企那样的产能。而LandMark证明了纯代理标的带来的估值溢价。 核心问题.. 释放被困价值： 虽然IQE的营收远高于LandMark，但由于4500万英镑的总债务，其股价（1.75亿美元市值）被定价为破产边缘。 但对超大规模云厂商来说，这笔债务微不足道： 其正在进行的由Lazard指导的战略审查的明确目标是：最终完成IQE台湾（传统GaAs无线业务）的出售，并利用所得资金彻底且永久地消除母公司的限制性债务结构。 再次强调，其可转换贷款票据面值2120万英镑，公司实收1800万英镑。净债务为2350万英镑。 -> 需要立即清除的债务负担：2350万英镑汇丰设施 + 2120万英镑CLN = 约4500万英镑。 假设IQE台湾单元以1亿至1.5亿英镑的高价出售（不保证），IQE在完全无债后将获得5000万至1亿英镑的盈余现金。 然而，射频GaAs目前并不“热门”，因此在困境资产出售中可能仅值5000万至6000万英镑，这足以清偿债务，但缓冲空间很小。 地缘政治转向： 一旦无债，IQE可以将其在北卡罗来纳州和威尔士等地大量闲置的制造产能转向数据中心InP外延晶圆市场。 这为光子学中最关键的瓶颈创造了一条完全资本化、纯西方的供应链，在美国和英国高度重视国内半导体基础设施之际，减少了对亚洲的依赖。 基本上，鉴于 $IQE 拥有的原始资产数量： -> 成功出售台湾业务将消除持续经营风险，清除所有债务，并让他们直接向Tier 1光模块玩家变现其6英寸InP外延晶圆技术。 这是一笔基于成功重组以释放被困价值的深度资产价值交易。且它已是超大规模云厂商光网络的知名供应商（并非科学实验项目）。 下行风险是过度稀释和重组失败。但鉴于其对西方供应链和超大规模云厂商供应链的地缘政治重要性，似乎有更多缓冲。 我个人决定将其作为巨大的潜在反转机会做多。但再次强调，这不适合所有人，风险极高。 TLDR： -> IQE被定价为困境中的射频供应商。 -> 它拥有真正具备光子学能力的硬件基础设施。 -> 如果4100万英镑总债务被移除，且管理层将资本支出重新分配给InP，股权可能大幅重估。 -> 重组+产能期权交易，风险极高但上行空间也极大。 最接近的类比是 $IREN 或 $CIFR 等将GW产能转向AI HPC的比特币矿企。他们拥有大量物理硬件（GW产能），需要资金进行转型（通过出售台湾业务或稀释）。 我乐观地认为他们能做到（像 $INTC 那样，鉴于其对西方的地缘政治重要性，有回旋余地）。 下行风险是极端稀释，这始终是一种可能性（意味着你的股权可能被清零以清偿债务或帮助重构）。 我只是发现4500万英镑总债务（占流通股本+债务的14.4%）并非不可承受，且管理层正试图通过资产出售而非股东稀释来清除债务。 只想发布更深入的拆解和这个非常二元化的**高风险**但潜在高回报交易更多风险。
原推 ↗英文原文
Here's a deeper look into $IQE ($179M): IQE's hidden InP optionality versus LandMark's $3.5B valuation. And the $IREN / $CRWV "miner" pivot to photonics: Before I did a high-level shower thought overview eg. $AXTI -> $IQE -> $LITE -> $GOOGL TPUs, but this is slightly more DD. Basically: IQE is the largest independent merchant compound semi epitaxial foundry in the world by reactor count and physical capacity. However, it's trading at distressed valuations because it's burdened by a low-margin legacy wireless business, and near-term liquidity constraints. LandMark Optoelectronics (TPEX: 3081) is the closest comparison. As a pure-play proxy for AI InP demand in the 800G and 1.6T optical interconnect market, LandMark commands a ~$3.8B billion market cap with large premiums in comparison to $IQE which is trading at a $175M MC. But if you look deeper at the physical hardware, the disconnect is pretty fascinating: LandMark's operational scale is physically limited. They only operate around 27 to 30 Metal-Organic Chemical Vapor Deposition (MOCVD) reactors out of a single campus in Taiwan per some estimates. IQE, by stark contrast, possesses well over 100+ MOCVD and MBE systems globally. The underlying replacement value and structural capacity of IQE’s photonics asset base looks to vastly exceeds its current public market valuation. Kind of like if a Bitcoin miner has 3GW capacity, vs 750 MW, there's large optionality to monetize it if they convert it. And we're seeing an transceiver bottleneck too: -> The downstream demand for optical transceivers is experiencing unprecedented acceleration. -> Extreme demand, from $GOOGL, $MSFT, $AMZN and others flow directly up the hardware supply chain. This puts immense pressure on transceiver integrators like Innolight, optical component manufacturers like $COHR, $LITE, and $AVGO, and ultimately, the merchant epitaxial foundries that grow the raw epiwafers required for the foundational laser chips. And since other players are hitting a physical capacity ceiling, vertically integrated players like $COHR are capped out, hyperscalers and module makers are desperate for alternative capacity in players like $IQE And.. Hidden entirely beneath IQE's consolidated corporate lines is a massive fleet of Aixtron AIX 2800G4-TM reactors. These are natively dual-capable (GaAs/InP) and can be repurposed for InP production at a relatively modest cost ($500K-$1.5M per reactor) but take few months or year to refactor. And obviously qualification and yield risk added to execution (similar to Bitcoin miners doing software orchestration to GPUs like $CRWV). But still, IQE has the capacity kinda like $IREN or Bitcoin miners that pivoted to HPC. And LandMark is proof of the valuation pure play exposure brings. The Major Question.. Unlocking Trapped Value: While IQE generates significantly higher top-line revenue than LandMark, it's priced ($175M MC) for bankruptcy because of its gross debt of 45M. But the debt looks like pennies to hyperscalers: The explicit, stated goal of their ongoing Lazard-advised strategic review is to definitively conclude the sale of IQE Taiwan (their legacy GaAs wireless business) and utilize the proceeds to completely and permanently extinguish the parent company's restrictive debt profile. Once again their convertible loan notes is a norminal face value of £21.2 million, for proceeds of £18 million for the company. Then they're net debt, £23.5 million. -> The immediate debt burden requiring clearance: £23.5M HSBC facility + £21.2M CLN = ~£45M. Assuming a highly sale price for the IQE Taiwan unit of between £100 million and £150 millio (not guaranteed), IQE would net £50 million to £100 million in surplus cash after becoming completely debt-free. However, RF GaAs is not currently "hot", so in a distressed asset sale it might only be £50M to £60M, which gives it enough room to clear debt alone and little cushion room. The Geopolitical Pivot: Once debt-free, IQE can shift its massive, currently underutilized manufacturing capacity in places like North Carolina and Wales toward the InP epiwafer market for datacenters. It creates a fully capitalized, purely Western-based supply chain for the most critical bottleneck in photonics, eliminating more dependency on Asia at a time when the US and UK are heavily prioritizing domestic semiconductor infrastructure. Basically, just given the amount of raw assets $IQE has: -> Successfully selling off their Taiwan business wipes out the going-concern risks, clears all debt, and leaves them to monetize their 6-inch inp epiwafer tech directly for the Tier 1 optical transceiver players. It's a deep asset value trade on a successful restructuring to unlock trapped value. And a currently well-known supplier for optical networking for hyperscalers (so not a science project). Downside risks are excessive dilution and failure to restructure. But given it's geopolitical importance to Western supply chains and hyperscaler supply chains, it seems to have more cushion. I personally decided to enter this long as a massive potential turnaround. But again, it's not for everyone and it's extremely high risk. TLDR: -> IQE is priced like a distressed RF supplier. -> It owns real photonics-capable infrastructure. -> If gross 41M debt is removed and management reallocates capex toward InP, the equity could rerate materially. -> Restructuring + capacity optionality trade with extreme risk but extreme upside. Closest comparison is Bitcoin miners like $IREN or $CIFR that pivot their GW capacity to AI HPC. They have a ton of physical hardware (GW capacity), and need funds to pivot (either through sale of Taiwan business or dilution). It's an optimistic trade I took they can do it (with wiggle room like $INTC given their geopolitical importance to the West). The downside is extreme dilution, which is always a possibility (meaning your equity gets wiped out to 0 to clear their debts or to help them refactor). I just found that 45M gross debt (14.4% of float + debt) wasn't the most and management was looking to clear that through asset sales rather than dilution to shareholders. Just wanted to publish deeper breakdown and more risks of this very binary **high risk**, but potentially high upside trade.
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通过多跳关系映射，挖掘光子学上游关键供应商AXTI和IQE的投资逻辑与风险。
-> $LITE 是 $GOOGL 的已知供应商。 -> $IQE 是 $LITE 的已知供应商。 -> $AXTI 是 $IQE 的已知供应商。 Google TPU 和超大规模客户 ASIC 的物料清单(BOM)极其机密。 但即使没人会说 $AXTI 或 $IQE 供应给某家超大规模客户，你也能通过关系映射大致推测出来。 你会惊讶于有多少多跳关系被忽视了。 （引用内容）：我是第一个讨论 $AXTI 与光子学物料清单/供应链关系的人： $IQE 也很有趣，作为少数西方供应商之一。 基本上，如果你看 $GOOGL TPU/超大规模客户 ASIC 的光子学流向，大概如下（很可能，但未披露）： 光收发器（最高 BOM）： Lumentum/Cloud Light: ~ 关键 / $AXTI-> $AXTI/住友/JX -> $IQE (外延晶圆) -> $LITE / Cloud Light -> $FN (代工) -> $GOOGL TPU Merchant 光学供应链： ~ 关键 / $AXTI -> $AXTI / 住友 / JX -> $LITE / $AVGO / $COHR (EML) + $MRVL / $MTSI / Semtech -> 中际旭创/新易盛 -> $GOOGL 所以如果你想找光子学 BOM 更上游的“登月计划”型/涨价股：$AXTI 和 $IQE 是必经之路。 $AXTI 此前基本面很差，但最近的 Northland 融资轮确立了其涨势。 $IQE 目前基本面很差（净债务 2350 万英镑），但可能是供应链中最关键的部分。如果他们能出售台湾业务，仅凭其 inp 业务，股价大幅上涨也不足为奇。 有 1800 万英镑可转换票据（几乎可以忽略不计），然后是新发 1.2 亿至 1.54 亿股（~12% 至 15%），相对于当前规模也几乎可以忽略不计。 另一方面，$LITE 和中际旭创可能更成熟。 TLDR: $IQE -> 似乎对西方供应链至关重要，市值 1.3 亿英镑。净债务，如果出售台湾业务 -> 强烈重估，或者他们可能只是稀释你。 但如果台湾业务未能出售，预计会被稀释到像 Wolfspeed 那样。所以风险巨大，务必自行研究风险。 但 $AXTI 和 $IQE 对我个人来说很有趣（我持有 $IQE）。
原推 ↗英文原文
-> $LITE is a known $GOOGL supplier. -> $IQE is a known $LITE supplier. -> $AXTI is a known $IQE supplier. Google TPU + Hyperscaler ASIC BOM are extremely confidential. But you can kinda guess from relationship mapping even though nobody will say $AXTI or $IQE supplies to X hyperscaler? You'd be surprised how multi-hop relationships are missed.
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解析光子学上游供应链，看好AXTI与IQE但提示IQE稀释风险。
我是最早将 $AXTI 与光子学(BOM)/供应链联系起来的人： $IQE 也很有趣，作为少数西方供应商之一。 基本上，如果你看 $GOOGL TPU/超大规模ASIC的光子学流程，大概是这样（很可能，但未披露）： 光模块(最高BOM)： Lumentum/Cloud Light: ~ Vital / $AXTI-> $AXTI/住友/JX -> $IQE (外延晶圆) -> $LITE / Cloud Light -> $FN (代工制造) -> $GOOGL TPU Merchant optical 供应链： ~ Vital / $AXTI -> $AXTI / 住友 / JX -> $LITE / $AVGO / $COHR (EML) + $MRVL / $MTSI / Semtech -> 中际旭创/新易盛 -> $GOOGL 所以如果你想找光子学BOM/涨价的“登月型”股票，更上游的光子学BOM：$AXTI, $IQE 是你的方向。 $AXTI 之前基本面很差，但最近的Northland融资轮确立了其涨势。 $IQE 现在基本面很差（净债务2350万英镑）但可能是供应链中最关键的部分。如果他们能出售台湾业务，我不惊讶它会仅因inp业务就大幅上涨。 有1800万英镑可转换票据（这几乎没什么），然后是1.2亿到1.54亿新股（~12%到15%），相对于当前规模也几乎没什么。 另一方面，$LITE 和中际旭创可能更成熟。 TLDR: $IQE -> 似乎对西方供应链至关重要，市值1.3亿英镑。净债务，如果出售台湾业务 -> 强烈重估，或者他们可能只是稀释你。 但如果台湾业务未能出售，预计会被稀释到像Wolfspeed那样。所以巨大、巨大的风险，请自行研究风险。 但 $AXTI 和 $IQE 对我个人来说很有趣（我持有 $IQE）。
原推 ↗英文原文
Was the first to talk about $AXTI in relation to photonics BOM/supply chains: $IQE is very interesting too as one of the only Western suppliers. Basically if you look at photonics flow on $GOOGL TPU/hyperscaler ASICs kinda looks like this (very likely, but undisclosed): Optical Transceivers (highest BOM): Lumentum/Cloud Light: ~ Vital / $AXTI-> $AXTI/Sumitomo/JX -> $IQE (Epi-Wafers) -> $LITE / Cloud Light -> $FN (Contract Manufacturing) -> $GOOGL TPU Merhcant optical supply chain: ~ Vital / $AXTI -> $AXTI / Sumitomo / JX -> → $LITE / $AVGO / $COHR (EML) + $MRVL / $MTSI / Semtech -> Innolight/Eoptolink -> $GOOGL So if you want moonshot-type photonics BOM / price-hikes stocks deeper upstream in the photonics BOM: $AXTI, $IQE and your way to go. $AXTI had terrible fundamentals before but the recent Northland fundraising round cemented its run. $IQE has terrible fundamentals now (Net debt £23.5 million) but is probably one of the most critical parts of the supply chain. If they manage to sell their Taiwan operations, wouldn't be surprised if it went up quite a bit just from their inp business. There's £18m convertible notes (which is basically nothing), then there's 120 to 154m new shares (~12% to 15%), which is also kinda nothing relative to current size. On the other hand, others $LITE and Innolight are probably more established. TLDR: $IQE -> seems critical to Western supply chains, $130MC. Net debt, if they sell Taiwan business -> strong re-rating or they might just dilute you anyway. But if the Taiwan business fails to be sold, probably expect to be diluted to oblivion like Wolfspeed. So huge, huge, risk ad do you own research into risks. But $AXTI and $IQE might are personally interesting to me (I do own $IQE).
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超大规模云厂商负债投入AI基建，资金流向英伟达等上游供应商。
@LuffyDDK 他们真的在负债 lol 世界上最富有的公司正在为人工智能基础设施建设而负债。 尽管拥有数百亿美元的净利润，从 $AMZN 到 $GOOGL 的公司都大幅增加了资本支出(capex)： 以至于部分公司预计将在 2026 年出现净现金流出。 以下是结果及受益者： 亚马逊 ( $AMZN ) 2025: +460 亿美元 2026 (预估): +110 亿美元 Alphabet ( $GOOGL ) 2025: +803 亿美元 2026 (预估): +130 亿美元 Meta Platforms ( $META ) - 净债务(Net Debt) 2025: +229 亿美元 2026 (预估): -70 亿美元 (预计转为净债务) 微软 ( $MSFT ) 2025: +492 亿美元 2026 (预估): +590 亿美元 甲骨文 ( $ORCL ) 2025: -980 亿美元 (净债务) 2026 (预估): -1150 亿美元 微软似乎处于最安全的位置。虽然亚马逊和谷歌主要依靠运营收入为人工智能基础设施建设提供资金。 然而，巨大的现金流缓冲已消失。甲骨文和 Meta 似乎正在通过负债来推动建设，尽管 $META 实现了惊人的运营收入数字。 现在，资金流向哪里？ 运营收入预测： 1. $NVDA - 美国 1350 亿 -> 1865 亿 -> 2401 亿美元运营收入 2. 三星 - 韩国 ~302 亿 -> ~1700 亿 -> ~2267 亿美元 3. SK 海力士 - 韩国 ~327 亿 -> ~1240 亿 -> ~1610 亿美元 4. $TSM - 台湾 ~622 亿 -> ~863 亿 - ~1033 亿 – 1053 亿美元 5. $AVGO - 美国 ~415 亿 -> ~628 亿-651 亿 - ~847 亿-933 亿美元 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即人工智能基础设施建设完成后将带来自由现金流(FCF)的分红回报。 但明显的赢家似乎是英伟达、三星、SK 海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，他们将资产负债表转移给这些供应商，期望从人工智能支出中获得长期投资回报率(ROI)。
原推 ↗英文原文
@LuffyDDK They literally are going into debt lol https://t.co/A4KDf93pYk
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AXTI与住友垄断InP衬底，成AI光子化关键瓶颈。
你听劝了吗，匿名者？- $AXTI https://t.co/Pcuu4M3muO （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）： 警告：整个AI行业可能会受制于两家公司的瓶颈： 1. $AXTI（市值7亿美元） 2. $SMTOY（市值317亿美元） 这两家公司控制了全球60-70%以上的磷化铟(InP)衬底市场。 未来的$NVDA、$GOOGL TPU v7集群、$META、$MSFT、$AMZN超大规模数据中心集群都需要基于磷化铟(InP)的激光器和接收器。 $AVGO、$LITE、$COHR使用磷化铟(InP)制造用于800G/1.6T光收发器的电吸收调制激光器(EML)、分布反馈(DFB)激光器和其他光基础设施。 如果没有磷化铟(InP)衬底，供应链就会瘫痪。 在查看了从TPU到Maia的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)+GPU+超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球磷化铟(InP)衬底市场，涵盖几乎所有领域： - 超大规模光模块（TPU集群等） - 光收发器（5g，数据） - 激光雷达(LiDAR)（自动驾驶出租车，无人机，军事） - 光模块（互连集群） - 硅光子学激光芯片（Nvidia未来的共封装光学(CPO)和Intel/Broadcom硅光子学(SiPh)引擎使用磷化铟(InP)连续波激光阵列。） 由于这些公司占据了市场供应的大多数： -AXTI（估计~30-35%） -住友电工(Sumitomo)（估计~30%） - JX日矿（估计10-15%） 就这些。（例如，Yole 2021年的行业报告指出“住友电工+AXT共同拥有‘超过75%’的磷化铟(InP)衬底市场”） 超大规模/AI正在向光子学发展，但整个AI行业是脆弱的。 如果$AXTI或$SMTOY中的任何一家停止供应材料，整个未来的AI建设就会瘫痪。更疯狂的是，一家7亿美元的公司可能成为这一切的中心。 随着AI行业向光子学转变，磷化铟(InP)衬底可能会与高带宽内存(HMB)一起成为最大的瓶颈之一。
原推 ↗英文原文
Did you listen anon? - $AXTI https://t.co/Pcuu4M3muO
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看好DeepSeek带动CXL需求，推荐关注ALAB、AVGO和MRVL。
如果你看好带有 Engram (v4) 的 DeepSeek 大语言模型，做多 CXL (Compute Express Link) 似乎是个不错的想法。 - $ALAB (Leo) - $AVGO - $MRVL 是美国市场的三大巨头。 尤其是 Astera。 如果它成为一种新的架构范式，像 Astera 这样的公司可能会销售数百万个全新的 CXL 控制器来管理外部内存池。 话虽如此，许多关于 DeepSeek 的报道通常夸大其词（内部基准测试与实际表现不同），它可能仅被用于离线批处理。 近期的全面下跌为这三家公司提供了良好的机会。
原推 ↗英文原文
If you're bullish on DeepSeek LLMs with Engram (v4), going long on CXL seems like a idea. - $ALAB (Leo) - $AVGO - $MRVL are your big three in the US. Especially Astera. If it becomes a new architectural paradigm, companies like Astera maybe would sell millions of net-new CXL controllers to manage the external memory pools. That being said, lot of reports are usually sensational around DeepSeek (internal benchmarks perform different than IRL), and might just be relegated to offline batch processing Recent drop across the board presents a good opportunity for these three.
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科技巨头负债投入AI基建，资金流向英伟达等上游供应商。
世界上最富有的公司正在为AI基础设施建设而负债。 尽管拥有数千亿美元的净利润，从 $AMZN 到 $GOOGL 的公司都大幅增加了资本支出(capex)： 以至于部分公司预计将在2026年出现净现金为负的情况。 以下是结果及受益者： 亚马逊 ( $AMZN ) 2025年：+$460亿 2026年（预估）：+$110亿 Alphabet ( $GOOGL ) 2025年：+$803亿 2026年（预估）：+$130亿 Meta Platforms ( $META ) - 净债务(Net Debt) 2025年：+$229亿 2026年（预估）：-$70亿（预计转为净债务状态） 微软 ( $MSFT ) 2025年：+$492亿 2026年（预估）：+$590亿 甲骨文 ( $ORCL ) 2025年：-$980亿（净债务） 2026年（预估）：-$1150亿 微软似乎处于最安全的位置。虽然亚马逊和谷歌主要依靠运营收入来资助AI基础设施建设。 然而，那巨大的现金流缓冲已经消失。甲骨文和Meta似乎正在通过负债来推动建设，尽管 $META 实现了惊人的运营收入数字。 现在，资金流向了哪里？ 运营收入预测： 1. $NVDA - 美国 $1350亿 -> $1865亿 -> $2401亿 运营收入 2. 三星 - 韩国 ~$302亿 -> ~$1700亿 -> ~$2267亿 3. SK海力士 - 韩国 ~$327亿 -> ~$1240亿 -> ~$1610亿 4. $TSM - 台湾 ~$622亿 -> ~$863亿 - ~$1033亿 – $1053亿 5. $AVGO - 美国 ~$415亿 -> ~$628亿-$651亿 - ~$847亿-$933亿 当然，这些是基于分析师预测的粗略估计。 然而，从总体趋势来看，这看起来像是一种杠杆式赌注，即AI基础设施建设完成后将带来自由现金流(FCF)的红利。 但明显的赢家似乎是英伟达、三星、SK海力士、博通和台积电。 随着超大规模云服务商(hyperscalers)中部分公司陷入债务，它们将资产负债表转移给这些供应商，期望从AI支出中获得长期投资回报率(ROI)。
原推 ↗英文原文
The richest companies in the world are going into debt for the AI buildout. Despite hundreds of billions in net income, companies from $AMZN to $GOOGL have increased capex so much: That some are projected to be net negative cash in 2026. Here are the results and who profits: Amazon ( $AMZN ) 2025: +$46.0 billion 2026 (Est): +$11.0 billion Alphabet ( $GOOGL ) 2025: +$80.3 billion 2026 (Est): +$13.0 billion Meta Platforms ( $META ) - Net Debt 2025: +$22.9 billion 2026 (Est): -$7.0 billion (Expected to swing into Net Debt) Microsoft ( $MSFT ) 2025: +$49.2 billion 2026 (Est): +$59.0 billion Oracle ( $ORCL ) 2025: -$98.0 billion (Net Debt) 2026 (Est): -$115.0 billion Microsoft appears to be in the safest position. While Amazon and Google have been largely funding the AI buildout with operating income. However, that large cashflow buffer has vanished. Oracle and Meta appear to be in debt to fuel the buildout, despite $META achieving staggering operating income numbers. Now, where does the money flow into? Operating Income Projections: 1. $NVDA - USA $135.0B -> $186.5B -> $240.1 Billion Operating Income 2. Samsung - Korea ~$30.2B -> ~$170B -> ~$226.7 Billion 3. SK Hynix - Korea ~$32.7B -> ~$124B -> ~$161.0 Billion 4. $TSM - Taiwan ~$62.2B -> ~$86.3B - ~$103.3B – $105.3 Billion 5. $AVGO - America ~$41.5B -> ~$62.8B-$65.1B - ~$84.7B-$93.3B Of course, these are rough estimates based on analyst projections. However, from the general trend, this looks like a leveraged bet that the AI buildout will pay off dividends in FCF after they're finished. But the clear winners appear to be Nvidia, Samsung, SK Hynix, Broadcom, and TSMC. This comes as hyperscalers, with some going into debt, transfer over their balance sheets to them, expecting a long term ROI from their AI spend.
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供应链瓶颈等权重组合周涨12.83%，全红表现惊人。
基于供应链映射的“瓶颈ETF”。 没有一只股票是红色的（下跌）。 等权重组合1周收益：+12.83%。 名单： $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% 我觉得机构是不是直接把上周框架里的这份名单全买了？ 这种表现水平简直太疯狂了。
原推 ↗英文原文
The "Bottleneck ETF" from supply chain mapping. Not a single name red. Equal weighted results 1W: +12.83%. List: $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% I feel like institutions just bought this entire list from last week's framework? This level of performance is pretty crazy.
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梳理AI半导体供应链瓶颈，看好存储、光子及台积电，指出中游为定价关键。
以下是我对 Semivision 瓶颈总结的 TLDR（太长不看版）及其映射到投资框架的内容： HBM（高带宽内存）： HBM4 (16Hi) - 三星，SK 海力士，$MU HBF（高带宽闪存）- $SNDK，Kioxia Base Die（基础晶圆）- $TSM，三星（内部） CPO（共封装光学）/光子学： 玻璃基板：$GLW，$INTC，Ibiden 光学：$LITE，$AVGO，$COHR，$MRVL 电力传输： 电压：$MPWR，$VICR 散热：$VRT，$NVT，$MOD 电网：$ETN，$SBGSY SiC/GaN（碳化硅/氮化镓）：$ON，$IFNNY 机架：$APH N2 产能： $TSM，$AMD（数据中心先行者），$QLCM，联发科，$NVDA 先进封装： 良率：$CAMT，$ONTO，$KLAC OSATs（外包半导体组装与测试）：$AMKR $BESIY，Disco Semivision 的总结： 1. “先进封装产能与良率控制” 2. “HBM 生态系统协调” 3. “电力传输创新（SiC、GaN PMICs、机架级电源架构）” 4. “CPO/光子学集成能力” 5. “数据中心基础设施作为半导体收入实现的‘隐性限制因素’” 正如你可能知道的，我对上述的存储/光子学领域（如 SK 海力士/三星，$SNDK，$MU，$LITE）以及 $TSM 最为看好。 我可能会稍微向上游延伸，比如 $AXTI（磷化铟前驱体），但中游玩家是瓶颈所在，并掌控大部分定价权。 但为了简化普通散户投资者的理解，我添加了相关公司的评论。
原推 ↗英文原文
Here's my TLDR + mapped into investment framework from Semivision bottleneck summary: HBM: HBM4 (16Hi) - Samsung, Sk Hynix, $MU HBF - $SNDK, Kioxia Base Die - $TSM, Samsung (internal) CPO/photonics; Glass Substrate: $GLW, $INTC, Ibiden Optical: $LITE, $AVGO, $COHR, $MRVL Power Delivery: Volatage: $MPWR, $VICR Thermal: $VRT, $NVT, $MOD Grid: $ETN, $SBGSY SiC/GaN: $ON, $IFNNY Rack: $APH N2 Volume: $TSM , $AMD (First mover dc), $QLCM, Mediatek, $NVDA Advanced Packaging: Yield: $CAMT, $ONTO, $KLAC OSATs: $AMKR $BESIY, Disco Semivision's summary: 1. "advanced packaging capacity and yield control" 2. "HBM ecosystem coordination" 3. "power delivery innovation (SiC, GaN PMICs, rack-level power architectures)" 4. "CPO/photonics integration capability" 5. "data center infrastructure as a “hidden limiter” to semiconductor revenue realization" As you probably know, I'm probably most bullish on memory/photonics like Sk Hynix/Samsung, $SNDK, $MU, $LITE above. And $TSM. I probably go a bit more upstream like $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing. But just added commentary of related companies to topics to make things simpler for the regular retail investor.
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AXTI因InP供应链瓶颈逻辑6周涨60%，成AI光子学关键瓶颈标的。
自我发布关于 $AXTI 的初始帖子以来，已经过去了6周。 它的股价又上涨了60%。 几乎没有人在这上面讨论这只市值仅7亿美元的小盘股。 尤其是从磷化铟(InP)供应链与光子学的角度。 现在它已成为一家14亿美元的公司，进入了机构和政府的视野。 在此期间： - 中国出口管制禁止了其竞争对手的前体材料 - 7N级磷化铟(InP)价格周周创历史新高 - 他们从Northland筹集了1亿美元以翻倍产能 - $LITE 业绩大超预期，预计光学需求将超过供应 - 所有超大规模云服务商(Hyperscaler)的资本支出均超出预期 - 特朗普签署行政令，从美国境内的外国拥有公司手中接管磷化铟(InP)供应链。 这6周里，我预计光子学在未来两年及以后将增长最快。 每只股票都有波动性（这只股票每天上下波动20%+），所以在入场交易前，重要的是建立你自己的信念。 但 $AXTI 是我从7亿美元微小市值开始的最有趣的瓶颈多头标的之一。
原推 ↗英文原文
It’s been 6 weeks since I made the initial $AXTI post. It’s now up another 60%. Almost nobody talked about this tiny $700M stock on X. Especially not from angles of InP supply chains with photonics. And now it’s a $1.4B company on institution and gov radars. Since then: - China export control banned precursors to their competitors - 7n InP prices hit all time highs week after week - They raised $100M from Northland to double their capacity - $LITE blows out earnings with expectations of optical demand outstripping supply - Every hyperscaler blew out expectations of capex - Trump signed executive orders to seize InP supply chains from foreign owned companies in the US. It’s been 6 weeks. And I expect photonics to ramp up the most over the next two years onwards. Every stock has volatility (this one moves 20%+ up and down daily) so it’s important to develop conviction by yourself before entering a trade. But $AXTI is of my most interesting bottleneck longs starting from a tiny $700M MC.
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超大规模云厂商AI资本支出激增，利好上游半导体供应链，建议坚守基本面做多。
市场正遭受AI资本支出(AI capex)冲击的洗礼。 这实质上是超大规模云服务商(hyperscalers)与外国之间的一场AI军备竞赛。 2025年至2026年间，资本支出(capex)增长如下： $GOOGL：从910亿-930亿美元增至1750亿-1850亿美元 $AMZN：从1250亿美元增至约2000亿美元 $META：从720亿美元增至1150亿-1350亿美元 $MSFT：从1100亿美元增至1500亿美元 $TSLA：从85亿美元增至200亿美元以上 当谷歌表示其年度支出（用于数据中心、TPU、基础设施）从去年的920亿美元激增至1850亿美元时，这一规模是巨大的。 $AMZN等公司的资本支出预测涵盖机器人到太空领域，情况不一，但同一家内存公司和半导体公司实际上能从中双重受益。 市场可能不欣赏$GOOGL如此巨大的支出，但上游AI供应链 certainly 乐见其成。 尤其是那些最明显受益的公司，例如： 专用集成电路(ASICs)：$AVGO（谷歌TPU、Meta MTIA等） 内存：SK海力士、三星、美光 $TSM（没有台积电你造不出“上帝”） $NVDA（训练） 每个建设项目中都有隐藏的受益者（例如$MSFT带动的$AAOI，$MRVL带动的$POET，$GOOGL带动的$LITE）。但有时，像内存或$TSM这样显而易见的“傻瓜式”标的反而就是最好的选择。 判断AI交易是否持续的最大信号是超大规模云服务商的支出： 而他们刚刚彻底超出了所有预期。 在AI建设浪潮中保持做多，基本面比宏观环境和短期流动性冲击更重要。
原推 ↗英文原文
Markets have been hit with an AI capex shock. This is effectively an AI arms race between hyperscalers and foreign nations. Between 2025 to 2026, capex has increased from: $GOOGL: $91B - $93B to $175B – $185B $AMZN: $125B to ~$200B $META: $72B to $115B-$135B $MSFT: $110B to $150B $TSLA: $8.5B to $20B+ When Google says they are spending $185 Billion in 1 year (on DCs, TPUs, infrastructure), from $92B the previous year, that is enormous. Capex projections like $AMZN are mixed from robotics to space, but the same memory companies and semiconductors actually benefit twice. Markets might not appreciate $GOOGL spending that much but AI supply chains upstream certainly do. Especially the most obvious ones that benefit from most such as: ASICs: $AVGO (Google TPUs, Meta MTIA, etc.) Memory: SK Hynix, Samsung, Micron $TSM (You cannot build God without TSM) $NVDA (training) There's hidden beneficiaries in each buildout (eg. $AAOI with $MSFT to $POET with $MRVL, $LITE with $GOOGL). But sometimes, the braindead obvious plays like memory or $TSM are are just the best. The biggest signal of whether the AI trade continues is hyperscaler spending: And they just blew all expectations out of the room. Stay long in the AI buildout, fundamentals matter more than macro and short term liquidity shock.
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澄清AVGO与MRVL因ASIC收入确认时点被误读，看好当前买入机会。
$AVGO 因 ASIC（专用集成电路）积压订单被抛售，但市场误解了其收入确认时点。$MRVL 的逻辑稍显合理，因为据报道微软的 Maia ASIC 延迟了 6 个月，因此收入确认可能会推迟。显然，如果你现在买入并持有一年，就不需要择时，但我在这里也喜欢这两只股票。
原推 ↗英文原文
$AVGO got sold off bc of their ASIC backlog but markets misunderstood how recognition timing works. $MRVL makes a tiny bit more sense bc of Microsoft reportedly had a 6M delay with their Maia asics so revenue recognition might be delayed. Obviously don’t need to time the market if you buy now and just wait a year but I like them both here too
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联发科AI收入预测远低于谷歌资本支出，谷歌大幅上调支出聚焦推理成本。
Counterpoint Research 指出，联发科(Mediatek)对2026年云端AI/ASIC(专用集成电路)收入约10亿美元的预测，与 $GOOGL 的资本支出(capex)以及 $AVGO 目前的营收相比，简直是沧海一粟。 但谷歌确实带来了震撼，将其资本支出预测上调了50%以上，并表示将专注于推理(inference)成本。 所以谁知道呢
原推 ↗英文原文
Counterpoint is Mediatek's ~$1B projections for Cloud AI/ASIC revenue for 2026 was a drop in the bucket compared to $GOOGL capex spend and what $AVGO currently brings in. But Google did deliver a shock upping its capex projections by 50%+ and said they would focus on inference costs. So who knows
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谷歌巨额资本支出验证联发科在AI供应链中的地位。
联发科是 $GOOGL TPU 生态系统（TPU v7e 和 v8e）中有趣的一部分。 以及 $NVDA Blackwell（例如 GB10 Grace 设计）。 他们曾在 2025 年做出雄心勃勃的预测，认为其将占据数据中心 ASIC 市场 10-15% 的份额，与 $AVGO 相比。 但鉴于谷歌目前 1750-1850 亿美元的资本支出，看来他们的说法正在得到验证。 披露：无持仓。
原推 ↗英文原文
Mediatek is an interesting part of $GOOGL TPU ecosystem (TPU v7e and v8e). And $NVDA Blackwell (eg. GB10 Grace design). They did make ambitious projections of 10–15% of the DC ASIC market back in 2025 vs. $AVGO. But given Google's $175-185B capex spend today, looks like their claims are getting validated. Disclosure: Have no positions.
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谷歌巨额资本支出加速AI基建，利好相关供应链。
$GOOGL 公布了财报，其资本支出(CapEX)规模巨大。 1750亿-1850亿美元 vs. 1200亿美元。 这对AI基础设施建设是利好。 跟随资金流向下游： - $AVGO、联发科、$TSM（设计/晶圆代工） - SK海力士、三星、$MU、$SNDK（存储） - $ANET、$LITE、$COHR、$VRT（网络、光子学、能源） 等等，因为谷歌表示支出主要在于：“包括服务器、数据中心和网络在内的AI基础设施”。 从 $META 到 $GOOGL 的超大规模云服务商正在大幅增加资本支出。 这仅仅表明： AI基础设施建设正在加速，并由全球最盈利的公司资助。 做多AI供应链。
原推 ↗英文原文
$GOOGL reported earnings and their CapEX spend was enormous. $175-$185 Billion vs. $120 Billion. This is bullish for AI buildout. Follow the money flow down to: - $AVGO, Mediatek, $TSM (design / foundry) - Sk hynix, Samsung, $MU, $SNDK (memory) - $ANET, $LITE, $COHR, $VRT (network, photonics, energy) etc. as Google said spend was: "primarily on AI infrastructure including servers, data centers and networking" Hyperscalers from $META to $GOOGL are increasing their capex spend enormously. This just goes to show: AI buildout is accelerating and is funded by the most profitable companies in the world. Long AI supply chains.
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看好AXTI作为光子学InP材料瓶颈，预计2026下半年因需求激增出现短缺。
我持有 $AXTI 的多头头寸。 今天我们正目睹 $SNDK、$MU、SK 海力士和三星带来的 HBM/NAND 超级周期，由于需求极度旺盛，价格持续上涨。 下一个是什么？-> 光子学 | 共封装光学(CPO) | 光互连。 需求规模呈现抛物线式增长。（Lightcounting 数据） 我对 AXT 的投资逻辑是：它是从磷化铟(InP)衬底到前驱体供应链的材料瓶颈。而 LightCounting 在过去几个月将需求预测翻了三倍。 这是一个物理/材料问题。 未来，西方供应链可以通过硅光子(SiPh)或 $POET 中介层来减少 InP 衬底/原料的使用。但超大规模云服务商无法绕过这一限制。 目前，中游瓶颈如 $LITE、$COHR、$AVGO 等依赖住友 | JX（日本）等西方供应链。 但这些公司使用的许多前驱体源自中国。在中国最近的出口管制后，日本公司虽有部分产能，但缺乏原料前驱体，他们可能正在消耗库存（约1年，无公开信息）。 但随着超大规模云服务商需求激增，库存将耗尽，使 $AXTI 掌握更多供应链控制权。 我们已经看到 $NVDA 确保了 EML 产能（使用 InP）。CPO CW 激光器、SOA 和其他组件也使用 InP。 “短缺”瓶颈正是 $AXTI 卡脖子的 InP 晶圆产线。 根据预测，我预计超大规模云服务商将在 2026 年开始为 2028 年的扩张储备库存，导致 2026 年下半年供应短缺。 $AXTI 的主要问题在于出口管制 + 60 天行政延迟。中国可能正通过 $AXTI 出牌，迫使美国超大规模云服务商依赖其供应链而非日本。 这在财报前的延迟收入确认中体现为双刃剑。但这些出口管制对住友等竞争对手伤害最大。 即使上游没有看到 100% 的月度涨价，基准情形下 InP 衬底和前驱体需求的增加也将提升 AXT 的营收底线。 AXT 仍是我对 2027 年及以后即将到来的超大规模光子学扩张最看多的材料瓶颈标的。 起初我认为这只是一个短期的风险对冲交易，但在研究了涉及光子学的新数据和架构后，我认为 $AXTI 将是未来 AI 建设的关键参与者。 我的逻辑可能过早，或者这恰恰是拐点。
原推 ↗英文原文
I'm long shares on $AXTI. We're seeing the HBM/NAND supercycle with $SNDK, $MU, Sk Hynix, and Samsung today. With constant price hikes due to extreme demand. The next? -> Photonics | CPO | Optical Interconnects. Demand scale up looks parabolic. (Lightcounting) My thesis was on on AXT was that they're the material bottleneck from InP Substrates to the precursor supply chain. And LightCounting's projections tripled the demand forecast in the past few months. This is a physics/material problem. In the future, Western supply chains can engineer away less InP substrates/feedstock usage with SiPh or $POET interposers. But hyperscalers can't get around it. Currently, midstream bottlenecks like $LITE, $COHR, $AVGO, and others rely on Western supply chains like Sumitomo | JX (Japan). But many precursors that companies these companies originated from China. After China's most recent export controls, the Japanese companies have some production, but without raw precursors, they are likely using inventory (maybe 1 year, there is no public information). But as hyperscaler demand ramps up, the inventory will disappear, leaving more control of the supply chain to $AXTI. We've already see $NVDA secure EML capacity (which uses InP). CPO CW lasers, SOA, and other components also use InP. The "shortage" bottleneck is the same InP wafer lines that $AXTI chokepoints. Judging from the projections, I expect hyperscalers to start securing inventory for the 2028 ramp in 2026, leading to supply shortages H2 2026. $AXTI's main issue is export controls + 60D administrative delays. China is likely playing their hand with $AXTI to force American hyperscalers to become dependent on their supply chain over Japan. This has been a double edged sword as seen with their pre-earnings release with delayed revenue recognition. But these export controls hurt their competitors in Sumitomo the most. Even if we don't see 100% monthly price hikes upstream, the base-case is ramped up demand for InP substrates and precursors increasing AXT's bottom line revenue. AXT remains my most bullish material chokepoint play for the impending hyperscale photonics ramp in 2027 -> onward. Before I expected this to be a short few month play for risk management, but after looking new data and architectures involving photonics, I think $AXTI will likely be a critical player for the AI buildout moving forward. My thesis might be early, or perhaps this may very well be the inflection point.
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分析SHMD、COPX及UAMY的投资逻辑与潜力
我之前一直在研究 $SHMD，因为其客户据报包括 $AVGO。但我至今仍未理清做多该股的逻辑。 我将 $COPX 归类为铜板块。 $UAMY 是做多锑的绝佳标的，它是美国少数玩家之一。其 2.45 亿美元的独家供应合同对于战略储备而言规模巨大。
原推 ↗英文原文
I've been looking into $SHMD awhile back since one of their customers was reportedly $AVGO. But still can't wrap my head around taking a long position yet. I put $COPX up there as Copper. $UAMY is an amazing long for antimony one of the only US players. $245m sole source contract is huge too for stockpiles.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$INTC财报后更新。 强烈买入： $SNAP $META 三星电子 SK海力士 $MU 欣兴电子 $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL 买入： $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF 存疑 $VELO $SKYT 回避 $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ, RGTI, QBTS _ 强烈买入 Snapchat - 底部约在$7.4，我认为在此位置非常强劲。随着内存资本支出减少及内存变现进入2027年，自由现金流(FCF)增加。只需等待重估。 Meta - 营收同比增长26%极其强劲，上季度产生超$100亿自由现金流。预计下季度财报后走势将走强，此前因光学(环比EPS光学效应超700%)导致BBB抛售，现在应已消化。 三星电子 - 半导体领域的圣杯，三星同时提供高带宽内存(HBM)和代工(Fab)敞口。 SK海力士 - 内存超级周期 美光 - 内存超级周期，但有美国背景支持。 欣兴电子 - 针对HBM、IC载板、玻璃基板、CoWoS及其他所有瓶颈环节的“邪恶”长线持仓。 台积电 - 印钞机，字面意义上不会出错。 Circle - 预计降息2-3次可能会大幅损害Circle净利润，因此已被定价。但在$160亿市值时是极佳的长线标的，他们正在印钞，且应开始看到美元稳定币(USDC)的扩张。 AXTI - LPTH: 磷化铟(InP)/锗等瓶颈。将成为2026年的巨大主题。只需等待AXT的供应链中断或Lightpath的黑钻(Black Diamond)在美国制造。我认为由于产能爬坡->收入增加，下行风险极低，但类似HBM的“登月式”涨价可能存疑。 COPX - 锂：稀土/材料如铜、锂是2026年的极佳长线标的。与上述瓶颈类似，来自中国的供应链中断将导致资金流向确保供应+建设新供应链。 AEHR - 说实话，他们处于AI和机器人两个热门垂直领域。$550万索诺玛(Sonoma)订单可能与美光和碳化硅(SiC)测试有关。看起来是市值低于$10亿的极佳“登月”标的。 FORM - 由于涉及DRAM/HBM及代工/逻辑，可能在美国供应链中变得重要。良率在HBM4中尤为重要。 AMKR - 美国本土制造供应链及台积电->美国转移的极大受益者。 博通 - 财报后近期大幅回调。鉴于超大规模客户ASIC将继续爬坡（尽管有一些延迟），我认为在此位置强烈买入。 Marvell - 与博通故事相同，Marvell因微软Maia延迟传闻而抛售。只需等待2027年营收约翻倍，当市场开始定价这一点，以及在Celestial收购后，他们在互连等其他领域做得很好。 买入 Coinbase - 加密货币近期回调使Coinbase在$570亿市值下价值再次合理。我从未喜欢其交易所部分，但为贝莱德IBIT ETF提供基础设施+与Circle的USDC收入分成，赋予Coinbase相当不错的长期价值。 SMCI - 从$60+暴跌回$30+呈现了极具吸引力的机会。市场极度担忧毛利率->SMCI向海外扩张，特别是主权AI+购买低端Nvidia GPU。且SMCI在那里的毛利率应会提升。也可能因为与客户达成的交易变得“粘性”。他们的营收增长并未停滞，仍达$360亿+。 GOOGL - 此时Gemini可能会接管ChatGPT，所以我会继续做多谷歌。 Figma - 软件板块抛售为许多被重挫的标的如Figma提供了良好机会，其拥有极高的毛利率+稳健增长。 亚马逊 - 价格基本与去年持平，他们一直在增长，AWS表现良好，涉足机器人+太空低轨卫星(LEO)，看起来是未来极佳的长线标的。 比特币 - 始终是极具吸引力的长线标的 Reddit - 估值高，但毛利率极高且不会消失，因为每个人都在用Reddit。 TTD - 2025年的抛售再次呈现了极具吸引力的估值 HIMS - 说实话，在$29时对我极具吸引力，可能会再次放入强烈买入，但当然营收减速非常令人担忧。主要Alpha在于市场未定价Zava收购，仅凭庞大的客户群，他们就能从新客户中衍生大量营收。 Robinhood - 从$140抛售回$100再次为Robinhood提供了良好机会。他们不会消失，加上银行+其他新产品营收扩张，应带来积极顺风。 Coherent - 长线美国供应链，特别是光子学、InP等。 AMBA - 针对边缘AI推理用于机器人爬坡+边缘计算的“登月”长线标的。 POET - 现在基本是1/2现金，通过Celestial间接进入Marvell+超大规模客户。鉴于承销商在$7.25买入，$6.8的股价具有吸引力。 AAOI - 与微软Maia和AWS Trainium绑定的长线标的。两者都尚未真正起飞，所以只是等待游戏。 LASR - 定向能武器非常酷。我不太喜欢基本面如20%左右的营收增长，但技术实在太酷了。 VPG - 与Optimus爬坡绑定的长线标的。我们应在2026年底看到工业用例，2027年底看到消费用例，所以Optimus生产可能现在开始或Q2影响资产负债表。 OSS - 国防板块及边缘AI+$2亿合同的长线标的。 INTC - 做多美国政策，财报并未改变任何观点，只是短期价格。 UMAC - 在此水平上是美国无人机制造的极佳长线标的。 ONDS, Airo, DPRO - 与AIRO, DPRO相同，看多无人机板块。相比几周前美国入侵委内瑞拉并威胁格陵兰时，没有太多巨大的顺风，但主题上看多。 AVAV - 关于将研发类合同->长期合同的错误信息导致抛售，呈现了相当大的上行空间 BULL - 我喜欢像Robinhood, Webull等拥有大量零售用户的券商，因为一旦拥有客户群，就有无尽的变现方式。抛售回$8呈现了极具吸引力的上行空间 ETOR - 抛售过度，净利润同比高，基本50%现金，下行风险低。只需等待财报重估。他们表现也不错，AUM同比70%+，所以不明白为何这样定价。 VLN - 不再像以前那样接近1:1资产/净值，曾有一段时间他们有$1100万+投资(下跌63%)毛利率，$9300万现金，所以会更接近1.1-1.2亿 : $1.4亿市值，这说不通。话虽如此，仍有$8000万远期营收，毛利率从63%->69%，看起来重估机会相当大。市场似乎只是不喜欢与某国相关的公司如Etoro，我想 Nebius - $150亿Clickhouse估值仅显示了分部加总(SOTP)，我不惊讶他们的子公司如Avride最终会超越主营业务。话虽如此，由于$20亿+ ATM在公开市场出售，近期有卖压。随着他们在2026年底达到$70亿ARR目标，应会极速爬坡。 GLXY, CIFR, HUT, IREN, WULF - 继续做多colo及其他新云板块标的。话虽如此，大多数自2025年以来已上涨30-40%+，所以它们不再是强烈的买入，因为已被定价。但仍有很多上行空间。 存疑 VELO - 很多人问我对此的看法，因为FinX喜欢这只股票。他们有很酷的客户如SpaceX，但基本面看起来糟糕。 ~$1180万现金 + $1750万发行 vs. ~$2300万债务。他们几乎没有剩余跑道，现在买入的人可能会被稀释。 Velo是拥有像IQE(欧洲InP供应链)这样极佳客户群但基本面糟糕的完美例子。 SKYT - 它是美国本土制造供应链的极佳标的，用于量子组件或边缘等酷东西。受益于芯片法案，但营收增长非常缓慢。它比Velo是更好的投机性长线，因为基本面更好。 24%左右的低毛利率，非常低的运营利润率，显然已计入市值，但美国纯代工应是一个溢价的好故事。底线是增长不够快。 回避 UAVS - 无尽的稀释机器，超过100%的市值已给予可将对市值25%以下的股份100%+转换为零售出售的套利投资者 BKKT - $3亿ATM稀释，而市值为$5.5亿。无尽的稀释机器 沃尔玛 - 43倍市盈率，不可能。 SLNH - 前方有大量稀释。 Palantir - 担忧估值P/E Coreweave - 担忧巨额债务，$10亿+债务利息严重损害自由现金流。然后是OpenAI的分配/建设，如果考虑到Gemini正在接管OpenAI的市场份额，对其能否履行合同义务存在极度、极度的担忧。 Oracle - 可能有技术性反弹，但说真的，他们为OpenAI(如Stargate)花费了太多资本支出，像Coreweave一样，OpenAI在能否履行合同义务方面存在极度担忧 BMNR - 无尽的稀释机器为愚蠢的项目融资，如$2亿投入Mr. Beast的公司。预期长期ETH质押ETF，做空BMNR，溢价将消失，例如$2亿现金投入Mr. Beast的公司流动性很差。 IONQ, RGTI, QBTS - 量子估值非常拉伸。 _ 总体想法： 我个人保持极度做多，这只是个人想法，非投资建议(NFI)。 许多小盘股和投机性公司自1月1日以来已经重估，我不认为许多50-100%的涨幅会持续（周五我们看到这些标的中有很多获利了结）。 话虽如此，特朗普正试图进一步降息（再降息2-3次），特别是因为中期选举即将到来。 SPY上涨 = 当选几率更大。所以我会保持极度做多直到中期选举后。 话虽如此，这有助于成长、投机性公司等。但我们已经看到这在很大程度上已被定价，如我最喜欢的长线标的之一Rocketlab，季度营收$1.55亿却达到$450亿+市值，所以我开始质疑估值->将许多头寸转向更多价值型（如软件下跌或内存超级周期）。 主题上我极度看多 - AI, 内存, 半导体 - 瓶颈 - 关键材料等。 非常看多 - 美国本土制造供应链 看多 - 国防板块 并会寻找软件到社交媒体公司等的波段交易/复苏/重估机会，鉴于近期的抛售。
原推 ↗英文原文
Jan 25th Ratings. Post EU Tariffs and $INTC ER. Strong Buy: $SNAP $META Samsung Electronics SK Hynix $MU Unimicron $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL Buy: $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF Questionable $VELO $SKYT Avoid $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ , RGTI, QBTS _ Strong Buy Snapchat - Bottomed around $7.4, imo very strong at this level. Increased FCF from memory opex reduction and memory monetization into 2027. Just a waiting game for re-rating. Meta - 26% Y/Y revenue growth is extremely strong, produced $10B+ FCF last quarter. Expect it to pick up after next quarter earnings due to optics (700%+ Q/Q EPS optics) that caused selloff last time from BBB. Samsung Electronics - Holy grail for semis, samsung provides exposure to both hbm and foundry. SK Hynix - memory supercycle Micron - memory supercycle, but with US backing. Unimicron - unholy long for hbm, ic substrates, glass core, cowos, and all other bottlenecks. TSM - money printer, literally can't go wrong with this. Circle - 2-3x projected rate cuts would likely hurt circle net income a lot, hence why it's being priced in. But amazing long at $16B as they print money and should start seeing expansion of USDC. AXTI - LPTH: Bottlenecks for InP / Germanium, etc. Will be a huge theme going into 2026. It's just a waiting game for both supply chain disruption (in AXT) or made in America w/ black diamond in Lightpath. Low downside risk imo due to capacity ramp -> revenue increase, but moonshot HBM type price increases might be questionable. COPX - LI: Rare Earths/Materials like Copper, Lithium are great longs for 2026. Similar with bottlenecks above, supply chain disruptions from China will cause money to flow into securing supply + buildout out new supply chains. AEHR - Honestly, they sit in two different hot verticals in AI and Robotics. $5.5m Sonoma order might be linked with Micron and SiC Testing. Seems like an extremely good moonshot sub $1B MC. FORM - Likely to be important in US supply chains since they do DRAM/HBM, and Foundry/Logic. & Yield is especailyl important w/ hbm4. AMKR - extreme beneficiary of made in america us supply chains and tsm -> US AVGO - Large correction recently post earnings. Strong buy IMO at these levels given hyperscaler ASICs will continue to ramp (even though there's been some delays). MRVL - Same story with Broadcom, marvell selloff after rumors of Microsoft maia delays. It's just a waiting game for ~2x revenue in 2027 and when markets start pricing that in, and after celestial acqusition, they're doing great stuff in other segments like interconnects. Buy Coinbase - Recent correction to Crypto makes Coinbase value decent again at $57B. Was never a fan of their exchange portion, but providing infra for Blackrock IBIT etfs + USDC revenue sharing with Circle, gives Coinbase pretty good long term value. SMCI - Extreme selloff from the $60's+ back to $30's presents attractive opportunity here. Markets are extremely concerned about gross margins -> SMCI expanding overseas, especially with soverign AI + buying lower end nvda gpus. and SMCI's margins should increase over there. Also likely due to deals to become sticky w/ customers. It's not like they're dying revenue growth to $36B+. GOOGL - Gemini at this point would likely take over chatgpt, so i'd remain long google. Figma - Software selloff provides good opportunity into a lot of the hammered names like Figma which extremely high gross margins + sturdy growth Amazon - Basically same price as last year, they've been growing, AWS is doing fine, they're in robotics + space LEOs, and just seems like a great long going forward Bitcoin - Always an attractive Long Reddit - High valuations, but extremely high gross margins and not going anywhere since everyone uses reddit. TTD - Selloff from 2025 presents attractive valuations again HIMS - Honestly extremely attractive for me at $29, might be put into strong buy again, but of course revenue deceleration is very worrysome. Main alpha is that markets arent pricing in Zava acqusition and just from sheer customer base, they can derive a lot of revenue from new customers. Robinhood - Selloff from $140 back to $100 presents a good opportunity for Robinhood again. They're not going anywere, plus new product revenue expansion from banking + others, should present positive tailwinds. Coherent - Long US supply chains, esp. for photonics, inp, etc. AMBA - Moonshot long for edge AI inference for robotic ramps + edge compute. POET - Basically 1/2 cash now, backdoor into marvell + hyperscalers through celestial. Attractive upside at $6.8 given underwriters bought at $7.25 AAOI - long play tethered to msft maia and aws trainium. both of them haven't really taken off yet so it's just a waiting agme LASR - energy directed weapons are super cool. i dont quite like the fundamentals like low 20% revenue growth, but the technology is just way too cool. VPG - Long play tethered to optimus ramp. we should see industrial use cases EOY 2026 and consumer EOY 2027, so maybe optimus productions starts hitting balance sheet now or q2. OSS - Long play on defense sector and edge AI + $200m contract. INTC - long on us policy, earnings didn't really change any perspective, just short term price. UMAC - Great long play at these levels on drone manufacturing in US. ONDS, Airo, DPRO - Same with AIRO, DPRO, bullish on drone sector. There's not much of a massive tailwind compared to a few weeks ago when US was invading venezuela and threatening greenland, but thematically bullish. AVAV - selloff from misinformation about converting r&D type contracts -> long term contract presents considerable upside BULL - I do like brokerages like robinhood, webull, etc. that have a ton of retail users since there's endless ways to monetize once you own the customer base. selloff back to $8 presents attractive upsdie ETOR - selloff way overblown, high net income y/y, basically 50% cash, low downside risk. just waiting for re-rating per earnings. they're doing well too, 70%+ Y/Y AUM, so not sure why they're being priced in like this. VLN - not quite the same anymore as close to 1:1 assets/nav, at one point they had $11m+ inv (off 63%) gross margins, $93M cash, so would have been closer to 110-120m : $140m MC, which made no sense. That being said still $80m fwd revenue off 63% -> 69% gross margins, seems like considerable opportunity for re-rating. Markets just don't seem to like companies eg. Etoro related to a certain country, I guess Nebius - $15B clickhouse valuation just goes to show Sum of Parts, where I wouldn't be surpirsed if their subsidaries like Avride ended up overtaking the main business. That being said, near term selling pressure due to $2B+ ATM being sold on open market. Should ramp up extremely fast as they meet their $7B ARR target EOY 2026. GLXY, CIFR, HUT, IREN, WULF - Remain long on the colo, and other neocloud sector plays. That being said most are up 30-40%+ since 2025, so they're not exactly a strong buy anymore as they've been priced in. But lot of upside remains. Questionable VELO - Lot of people asked my opinion on this since FinX loves this stock. They have really cool customers like SpaceX, but fundamentals look terrible. ~$11.8M cash + $17.5M offering vs. ~$23M. debt. They barely have any runway left and people buying now are likely to be diluted. Velo is the perfect example of amazing customer base like IQE (EU for inP supply chain), but terrible fundamentals. SKYT - It's a great made in america supply chain company for a lot of cool stuff like quantum components or edge. Benefits from CHIP act, but very slow revenue growth. It's a lot better speculative long than Velo since it has better fundamenatls. Lower gross margins like 24%, very low operating margins, is obviously priced into MC but U.S. pure-play foundry should be a good story for premium. Bottom line are not really growing too fast though. Avoid UAVS - Endless dilution machine with over 100%+ of marketcap given over to arbitrage investors that can convert 100%+ of the shares under 25% market value to sell on retail BKKT - $300m ATM dilution right now while MC is $550m. Endless dilution machine Walmart - 43 p/e, there's no way. SLNH - Lot of dilution ahead. Palantir - Concern over valuation P/E Coreweave - Concerns over large debt, $1B+ in debt interest hurts FCF a ton. Then there's allocation/buildout for OpenAI, which has extreme, extreme concerns if they can fulfill contract obligations, especially since gemini is taking over market share of openai. Oracle - There might be technical rebound, but seriously, they've spent so much capex just for openai (eg. stargate), and like coreweave, OpenAI, which has extreme concerns over if they can fufill contracts obligations BMNR - endless dilution machine to fund silly projects like $200m into mr. beast's company. Expect long eth staking etfs, short bmnr plays, and premium to go under as $200m cash into mr. beast's company for example is not very liquid. IONQ, RGTI, QBTS - Quantum valuations are very stretched. _ Overall Thoughts: I'm personally staying extremely long, this is just personal thoughts NFI. A lot of small caps and speculative companies have already been re-rated since Jan 1st and I don't expect many of the 50-100% moves to continue (we've seen a lot of profit taking Friday on some of these names). That being said, Trump is trying to cut rates even more (another 2-3x projected), esp. since Midterms is coming up. SPY Up = better chance of getting elected. So I'm staying very long until after Midterms. That being said a lot of this helps growth, speculative companies etc. But we're already seeing this largely priced in like Rocketlab, one of my favorite longs, reaching $45B+ MC off $155m quarterly revenue, so I'm questioning valuations a bit -> pivoting a lot of positions into more value (eg. software drop or memory supercycle). Thematically I'm extremely bullish on - AI, Memory, Semis - Bottlenecks - Critical Materials, etc. Very bullish on - Made in America supply chains Bullish on - Defense Sector And would look for swing trades/recovery/re-rating for stuff like software to social media companies around now given the recent selloff.
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询问博通v8供应链及BOM信息，认为利好该股。
@jukan05 哇，这对 $AVGO 来说立刻就是看多的。你碰巧有 v8 供应链/物料清单(BOM) 的信息吗？
原推 ↗英文原文
@jukan05 Wow that’s immediately bullish for $AVGO. Do you have the info of the v8 supply chain/bom by any chance?
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分析SKC和SHMD在CPO及半导体供应链中的机会。
谢谢！虽然还有很多遗漏，但我仍在深入研究它们。 $SKC/Absolics（市值约25亿美元）作为共封装光学(CPO)领域的首发者，且美国政府深度参与，对于$NVDA、$AVGO/$MVRL而言颇具看点。 $SHMD（市值约2.5亿美元）也很有趣，因为$AVGO可能是其客户，且他们可能处于$INTC和三星的路线图之中。 但总体而言，市场提供了大量有趣的机会。
原推 ↗英文原文
Thanks! There's a lot I'm missing but still doing a lot of research into them. $SKC/Absolics (~$2.5B MC) was interesting for $NVDA, $AVGO / $MVRL CPO play as the first-to-market with US Government heavily involved, $SHMD (~$250m) was also pretty interesting too since $AVGO was a likely customer and they're probably on $INTC, Samsung roadmaps. But generally market presents a ton of interesting opportunities.
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2026年1月1日美股评级：推荐SMCI、INTC等复苏及AI基建标的，回避高估量子及零售股。
欢迎来到2026年。1月1日评级： 强烈买入： $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR 三星电子 (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL 买入： $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK海力士 $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB 回避： $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ 简而言之的想法： TTD - 估值完全重置，年初至今下跌67%，叠加年底税务抛售。进入2026年是极佳的复苏标的。 SMCI - 仅因推迟一个季度以符合新Blackwell规格而交易得像一家困境公司。前瞻收入同比增长50%，市销率(P/S)接近0.5。税务收割后的极佳复苏标的。 AIRO - 资产负债表约1/6为现金。随着政府加速投资，无人机领域备受追捧。另一只被抛售的IPO新股。进入2026年，尤其在热门细分领域，是极佳的复苏标的。市销率约3.8倍，相比ONDS的25-30倍市销率，当然其教育等业务对利润率计算有很大干扰。 INTC - 它实际上已成为美国政府的半导体臂膀。超大规模云厂商很可能被激励（强烈施压）在有机会时优先使用Intel而非TSM、三星等。我不会赌美国政府会输。 HIMS - 进入2026年前大幅抛售。从70多美元下跌。销售/流量下降，但Zava收购/增长应在2026年带来巨大顺风。尤其是有数亿美元回购，前两个月是强劲的复苏标的。 AXTI - 之前发过相关论点。CEO称“40%的磷化铟(InP)供应链”，InP将是2026-2027年超大规模AI建设中的巨大瓶颈，直到2028年有足够时间通过工程手段绕过它。 TSM - 我引用过很多次。利润率提升。需求最大化。未来几年极好的复利增长者。 三星电子 - 受益于代工/存储。在所有顺风助力业务方面简直是金蛋。 NBIS - 极强买入，$7-90亿年度经常性收入(ARR)，它实际上是5家不同公司，每年三位数增长。管理层引用20-30%息税前利润(EBIT)率，这只是等待游戏。 CIFR, HUT, IREN, WULF, GLXY - 整个数据中心板块在Oracle/OpenAI担忧后极度超卖。OpenAI最近融资$400亿，$AMZN再投$100亿等。因此关于资本支出(Capex)的担忧已大幅降低风险。这也是多方面的，例如比特币下跌影响$CIFR资产负债表，$GLXY在加密领域。但总体而言，新云(neoclouds)板块有巨大的复苏/扩张潜力。 TSSI - 类似SMCI。递延收入=核弹级利空。税务收割后应恢复，且大量收入将被确认。 META - 财报后因一次性税务问题遭遇巨大算法抛售。他们还削减了现实实验室等部门的资本支出/运营支出，这应为2026年的每股收益(EPS)带来巨大顺风。 ETOR - 市值$28亿，坐拥$12亿现金，仍保持双位数同比增长。$1.5亿回购应是不错的顺风，且年初至今表现带来的税务收割效应应会消退。 CRCL - 稳定币论点在2026年应非常稳固。 买入 KRKNF - Anduril合作伙伴+规模。2026年可能转板，国防支出带来大量顺风。 ONDS - 收入增长极具爆炸性，到处都有新的$1000万合同。大量现金余额资助研发。市销率很高，但该领域的投机性领导者如RKLB有估值溢价。 GEMI - 通常我不喜欢交易所，但Gemini从$30+ IPO跌至$10以下。极佳的复苏标的。 NVDA - 巨大的积压订单。大家都知道Nvidia的牛市逻辑。 MU - 存储火热。 SK海力士 - 存储火热。 AMKR - 受益于“美国制造”芯片生产扩张。 SNAP - 存储运营支出削减，存储货币化增加收入，Perplexity贡献$4亿。季度收入$15亿。如果他们将所有这些转化为$10亿+自由现金流(FCF)/年，即使收入完全停止增长，也会完全重估Snap。 RDDT - 说实话，未来10+年不会消失。它是社交媒体界的Robinhood，通过新的收入货币化方式极速增长，且极其盈利。 AAOI - Amazon, MSFT ASIC规模化的互连标的。 COHR - 受益于下一代ASIC的光子学部署。 FISV - 财报后抛售过多，税务收割后是强劲的复苏标的。 FLY - SpaceX IPO带动太空领域火热。税务收割结束后应表现良好，且即将有Northrop的中期催化剂。 DJT - 我从没想过会把它放在这里，但这只是因为他们的TAE合并。 LITE - Google TPU部署带来巨大的物料清单(BOM)，估值有吸引力。Google TPU修正预估后轻微抛售，但它基本存在于每个超大规模ASIC部署中。 AMZN - 七大科技巨头中估值不过高的一个。 MRVL - 分析师误导导致抛售，进入2026年强烈买入。尤其是MSFT Maia收入翻倍时，Marvell当前收入也将随之增长。 AVGO - 像NVDA一样，随着AI基础设施部署加速，强劲的长期持有标的。 OSS - 我曾发帖推测他们是Anduril的供应商之一。但无论如何，边缘计算在2026年将很火热，其1.8亿市值呈现有吸引力的上行空间。 BULL - 类似Robinhood，拥有巨大用户群，但他们只需找出货币化方法。 Oracle - 我认为抛售过多。几个月前我将其列入回避，但从$330跌至$190后，尤其在OpenAI再融资$400亿后，再次具有吸引力。 CRDO - 极高利润率，数据中心部署所需的必要连接。 ALAB - 极高利润率，数据中心部署所需的必要连接。 回避： 有很多在“高估名单”上的东西，比如$RKLB，我喜欢但除了这些之外我不会说回避它们。 RGTI, QBTS, RGTI - 量子名称仍然高估，且可能在未来几年无法交付自由现金流。 BMNR, ETH - 如果你看过我的ETH帖子，我不太看多，因为每天ETH燃烧量只是个位数到低双位数，这简直是笑话。 PLTR - 最被高估的AI名称之一。 WMT - 这怎么是40倍市盈率？这是沃尔玛？ __ （这些基于今日价格） 简而言之： Circle, Etoro, AIRO, Klarna, Figma等IPO名称在下跌+税务收割后进入2026年呈现有吸引力的上行空间。 大量如SMCI, HIMS等过去3个月下跌约40%的名称，在税务收割+一月效应后是极好的波段/复苏交易标的。 许多如FiserV或The Trade Desk等暴跌的名称在税务收割后也是良好的复苏交易标的。 许多数据中心股票如nebius, iren, cifr, wulf, galaxy也是极好的复苏交易标的。 许多其他领域如存储、瓶颈、光子学等在2026年只是极好的长期持有标的，尽管各自都触及历史新高。 仍有相当多高估的名称，从量子到某些太空股票（如planet或rocketlab），特定AI名称如Palantir到零售股票如沃尔玛，我可能会暂时回避，直到有轻微回调。 这只是一个简而言之，如果我仅做短期交易（非长期），但欢迎提问。
原推 ↗英文原文
Welcome to 2026. Jan 1st ratings: Strong Buy: $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR Samsung Electronics (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL Buy: $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK Hynix $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB Avoid: $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ TLDR thoughts: TTD - Complete valuation reset dropping 67% YTD, compounded by EOY tax sell-off. Great recovery play going into 2026. SMCI - Trades like distressed company just because they delayed revenue by 1 quarter for new blackwell specs. Forward revenue is increasing 50% Y/Y, P/S close to .5 now. Great recovery play from tax harvesting. AIRO - Roughly ~1/6th balance sheet was cash. Everyone seems to be into drones, especially with accelerated gov inevstments. Another IPO name that got sold off. Great recovery play going into 2026 with esp. hot segment. Roughly ~3.8x P/S compared to ONDS trading at 25-30 P/S, but obviously there's quite a lot of other businesses like their education sector which messed up margin calculations quite a bit. INTC - It's literally become the semi arm of the US government. Hyperscalers will likely be incentived (strongly pressured) to use Intel whatever chance it gets over TSM, Samsung, etc. I would not bet against the US government. HIMS - Huge selloff going into 2026. Down from $70's. Sales/Traffic is down, but Zava acquisition/growth should add a huge tailwind going into 2026. Esp. with few hundred mill buybacks, strong recovery play first two monts in. AXTI - Posted thesis on this earlier. CEO - "40% of Inp supply chain", InP will be a huge, huge bottleneck for hyperscaler AI buildout 2026-2027 until there's enough time to engineer around it in 2028. TSM - I've covered this quote a lot. Increasing margins. Maxed out demand. Just extremely good compounder next few years. Samsung Electronics - benefits from foundry/memory. just golden egg regarding all the tailwinds helping the buisness. NBIS - Extremely strong buy, $7-9B ARR, it's literally 5 different companies growing triple digits Y/Y. management quoted 20-30% EBIT margins, it's just a waiting agme. CIFR, HUT, IREN, WULF, GLXY - Whole datacenter space is extremely sold off after Oracle/OpenAI fears. OpenAI recently raised $40B, another $10B from $AMZN, and more. So a lot of fears regarding capex spend has been de-risked. It's multifaceted too, eg. Bitcoin drop, affects $CIFR balance sheet, $GLXY in crypto space. But generally huge recovery play/ramp for neoclouds sector. TSSI - Similar to SMCI. deferred revenue = nuke. Should recover after tax harvesting + lot of revenue gets recognized META - Huge algorithmic selloff post earnings due to one-time tax. They also cut capex/opex spend of their reality labs and other departments and this should be a huge tailwind for EPS going into 2026. ETOR - Literally sitting on $1.2B with a $2.8B marketcap and growing double digits Y/Y still. $150M buyback should be a nice tailwind, and tax harvesting from YTD performance should subside. CRCL - Same as stablecoin thesis should be really solid going into 2026 Buy KRKNF - Anduril partner+ scale. Probable uplisting in 2026, lot of tailwinds from defense spending. ONDS -pretty explosive revenue growth, new $10m contracts left and right. large cash balance to fund r&d. Pretty high p/s but there's valuation premiums for speculative leaders in the space like rklb. GEMI - So i typically dont like exchanges, but gemini got nuked from $30+ IPO sub $10. pretty solid recovery play. NVDA - Huge backlog lol. Everyone knows bull case for nvidia MU - Memory is hot SK Hynix - Memory is hot AMKR - benefits from "made in america" chip expansion in prod. SNAP - Opex Cut from memory, increase revenue from memory monetization, $400m from perplixity. $1.5B revenue/quarter. They could literally stop growing revenue complelty if they convert all of that to $1B+ FCF/year, it would re-rate snap completly. RDDT - This is not going anywhere for the next 10+ years tbh, it's like robinhood of social media, growing extremely fast from new ways to monetize revenue, and just extrmeely profitable. AAOI - interconnect play for amzn, msft asic scale up. COHR - benefits from photonics rollout for next gen asics. FISV - Nuked a bit too much post ER, strong recovery play esp. post tax-harves.t FLY - Space is hot from SpaceX IPO. Should do well given tax harvesting is over, and they have medium lift coming up with northrop. DJT - I never thought i'd put this here lol, but this is just because of their TAE merger. LITE - Large BOM from Google TPU rollout, attractive valuation. Slight selloff after Google TPU revised est. but it's basically in every single hyperscaler asic deployment. AMZN - one of the mag7 that's not overvalued MRVL - Selloff from analyst misinformation, strong buy going into 2026. Especially with msft maia revenue doubling Marvell's current revenue when it ramps up AVGO - Like NVDA just strong long, as AI infrastructure deployment ramps up OSS - I made a post speculating that they're one of andruils' suppliers. but regardless, edge computing will be hot 2026 and its 180m mc presents attracctive upside. BULL - similar to robinhood where they have a huge userbase, but they just need to figure out monetization Oracle - Sold off a bit too much imo. I put this on avoid months ago but after the from from $330 to $190, it's more attractive again esp. after openai raised another $40B CRDO -extremely high margin, necessary connectivity for dc rollout ALAB - extremely high margin, necessary connectivity for dc rollout Avoid: There's a lot of stuff on the "overvalued list" like $RKLB that i like but I wouldn't quite say avoid it either aside from these. RGTI , QBTS, RGTI - Quantum names are still overvalued and likely won't deliver fcf in the next few ytears. BMNR, ETH - if you saw my eth post, not exactly bullish since the amount of ETH burn is just single-low double digits every day, which is a joke. PLTR - one of the most overvalued ai names WMT - How is this 40 p/e? This is Walmart? __ (these are based on today's prices) TLDR: IPO names like Circle, Etoro, AIRO, Klarna, Figma, present attractive upsides post drop + tax harvesting going into 2026. Tons of names like SMCI, HIMS that dropped 40% or so past 3 months, are amazing swing/recovery trades post-tax harvest + Jan effect. Lot of the names that doom dropped like FiserV or The Trade Desk present good recovery trades too post-tax harvest. Many datacenter stocks like nebius, iren, cifr, wulf, galaxy, are amazing recovery trades too. Lot of other segments like memory, bottlenecks, photonics, and others are just great longs in 2026, despite each hitting ATHs. There's still quite a lot of overvalued names from Quantum, to certain Space stocks (eg. planet or rocketlab), specific AI names like Palantir to retail stocks like Walmart that I would probably avoid for the time being until there's a slight correction. This was a TLDR just if I'm short term trading-only (not long term) but feel free to ask questions.
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研究$SHMD，认为其作为$AVGO客户且市值小，具备较大上涨潜力。
@reticulosaurus @retail_mourinho 我仍在研究 $SHMD，但一般来说，如果你拥有 $AVGO 作为客户且市值仅为 3 亿美元，那么上涨空间相当可观。我目前还没有任何明确的方向性观点，仍在深入调研中。
原推 ↗英文原文
@reticulosaurus @retail_mourinho I’m still researching $SHMD but generally if you have $AVGO as a customer and your marketcap is $300m then there’s quite a lot of upside. Don’t have any concrete directional opinions yet, I’m still looking into it
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2026年十大主题投资：聚焦AI供应链瓶颈、软体机器人及支付颠覆。
2026年通讯。 主题投资：演进、颠覆与瓶颈 1. 软体机器人 - 向 $TSLA、$ONDS、波士顿动力演进。 2. 硅光子(SiPh) - 磷化铟(InP)瓶颈 | $AXTI、$LITE、$GOOGL 3. 玻璃基板 - 瓶颈 | $NVDA、$INTC、$TSM 4. 资金流动 - 对 $V、Stripe、$BOA 的颠覆 5. AI云层级 - 瓶颈 | $NBIS、$IREN、$HUT 6. LLM网络安全 - 向 $CRWD、$CSCO、$MSFT 演进 7. 低轨(LEO)太空基础设施 | 向 $RKLB、SpaceX、$ASTS 演进 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、$PATH Cognition 9. 分布式计算延迟 - 瓶颈 | $TSLA、$AMZN、$GOOGL 10. 铜互连寿命延长 - 瓶颈 | $NVDA (LPU/Groq)、$AMD、$INTC _这是我对从公开信息综合及瓶颈二/三阶效应来看最感兴趣的主题投资的简要概述！_ 1. 软体机器人：向机器人的演进 传统机器人（Optimus、波士顿动力）依赖逆运动学控制刚性关节。软体机器人改变了数学模型。 我们已到达硬件（Optimus、波士顿动力、Figure）与LLM（Gemini、Grok、Opus）相遇的节点，正处于大规模商业化的开端。 通过使用受章鱼触手和人类皮肤启发的材料，机器人正从齿轮转向流体性，以处理极其精细的任务，如像人手一样处理农产品，或为 $ONDS/Andruil 无人机添加类章鱼延伸以拾取极重表面。 这种演进在于跳出思维定势思考机器人能做什么。我记得7年前曾与该领域的斯坦福博士合作，AI在多年研究后开始商业化，因此该领域也是如此。 将类生物流体性添加到刚性机器人中的可能性是无限的，这只是自然演进。 大多数可能是私人公司。 2. 硅光子 - AI基础设施的瓶颈“磷化铟(InP)卡脖子点” 从Blackwell Ultra集群到Google TPU已触及上限，需要光子互连 | 共封装光学(OCS)以实现扩展。 基板：$AXTI（通过Tongmei）和住友（日本）控制全球约60-70%的InP基板市场。 材料：Vital Materials（中国）和AXT等公司控制原材料铟本身的精炼（78%+的供应链）。 如果你是美国科技巨头，你2026年的整个“AI增长故事”取决于由地缘政治对手控制的材料。 唯一可扩展的解决方案是工程绕行，要么实现芯片上光传输，同时减少90%的铟使用，要么使用微小的磷化铟薄片代替大型昂贵晶圆。 瓶颈本身有机会，如AXT、住友。或帮助解决它的公司如 $POET。 3. 玻璃基板 - 解决从 $NVDA 到其他公司的共封装光学(CPO)瓶颈 向玻璃基板的转变本质上是半导体行业对当前材料物理极限的回答。 当前芯片位于有机材料（本质上是专用塑料）制成的基板上。随着芯片变大，如Nvidia巨大的GPU封装，塑料基板会翘曲。 因此，玻璃基板正成为共封装光学(CPO)的行业标准，因为它们解决了光子学中最大的对齐问题。 美国政府已视其为必要，我们看到巨额补贴流向这些公司。 $INTC、三星电子、Absolics（SKC子公司）、DNP等是主要受益者，尤其是随着MRVL和 $AVGO（推动光学开关的玻璃）推进CPO革命。 4. 资金流动 - 对卡网络、银行、交易所和支付的颠覆 几十年来，资金转移一直是“收费公路”业务。每次刷卡，2%到3%的钱流入卡网络（Visa/Mastercard）和发卡行的口袋。 或者从交易所买卖加密货币是0.2-1%。这是历史上最有利可图、“不可杀死”的商业模式。 直到现在。2025年的“天才法案”刚刚将金钱传输许可证或银行特许状交给像 $XRP 这样的公司，赋予了他们王国钥匙。 对我来说并非理论。我恰好正在自己的初创公司与创建V / $PYPL 实时支付网络的人一起从事这项工作。 但基本上，拥有现有MTL或追求银行特许状并利用天才法案及其他技术的公司，现在可以通过在美联储和区块链之上进行结算来绕过传统百分比费用，有效地将基于百分比的费用转化为几美分。 99%的公司会这样做吗？可能不会，因为支付行业的所有利润率都将归零。但我乐意看到。 但基本上，Stripe以11亿美元收购Bridge本应是对现有公司的红色警报，表明1天ACH、 interchange模式、25美元国际转账的日子即将结束。 这扩展到许多其他相邻领域，从低费用颠覆者如 $HOOD、Mercury，一直到稳定币新银行，或制作自己稳定币的公司如 $SOFI。 5. AI云层级 - 超大规模计算瓶颈的解决方案 当超大规模云厂商被困在3-5年的电网互连队列中时，像WULF和IREN这样的矿工今天就拥有即插即用的GW级算力。 这是千载难逢的机会，超大规模云厂商将其现金牛云收入流向小公司。 这里有不同的层级，从Fluidstack、Poolside、Fireworks在GPU编排层，到IREN等公司构建的裸金属层。 然后有成为超大规模云厂商本身，如NBIS拥有物理位置、GPU、软件编排，然后为推理提供简单接口。 这是少数小公司在未来一两年成为AWS或Azure，或被收购（例如GOOGL以47亿美元收购Intersect）的机会。 像NBIS、IREN、CRWV这样的新云，以及像CIFR、WULF、HUT这样的colo玩家（以及私人部门->能源）将受益。 6. LLM网络安全 - 向现代安全和漏洞防御的演进 最近的报告（例如来自Anthropic红队）显示，高级模型如Opus（及未来版本）可以自主扫描开源智能合约，并在几分钟内识别价值数百万美元的“零日”漏洞。 含义：如果AI能在不可变的区块链合约中找到逻辑缺陷，它也能在银行的SWIFT API或电网控制软件中找到缺陷。 同样适用于KYC/AML。像Gemini Nano Banana这样的模型能够创建逼真的图像/视频，人们能够绕过许多程序。 这个领域有很多不性感但具Alpha潜力的事情，如LLM自动化SOC2/PCI DSS合规，代理坐在服务器上，持续监控日志，并自动生成审计所需的证据。 7. 低轨(LEO)太空基础设施 | 向拓展最后疆域的演进 太空是下一个大事情。这并不新鲜。（希望你懂这个笑话）。但从像 $RKLB、SpaceX这样的公司，到解决轨道拥堵或发射节奏瓶颈的公司，再到像ASTS或Starlink这样商业化基础设施的公司，在未来一年呈现许多机会。 因此，像Impulse、Blue Origin、$ASOZF到RKLB、$ASTS这样的公司将受益于整个链条。 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、PATH Cognition 这一点很简单，无需解释。但在对就业+成本节约的潜在影响上显而易见。 你如何自动化商务拓展？如何自动化营销？如何自动化软件工程师？ 这超越了ChatGPT的几步回答，直接进入现实世界，AI代理可以在X上漫游，找到合适的人，发送DM，继续对话，并在一个工作流中导致销售电话。 这是“聊天机器人”时代的结束和“行动”时代的开始，取代公司以前需要的所有人。 我尚未看到任何公司大规模做到这一点。拥有这些的公共公司如META并没有呈现最佳敞口。也许是 $PATH 在公共空间。 9. 分布式计算延迟 - 解决AI计算容量紧张的瓶颈 像GOOGL Cloud、MSFT Azure这样的超大规模云厂商已达最大容量。 Elon Musk已经提出分布式计算作为解决此问题的未来（例如，拥有 $TSLA 网络为LLM推理提供计算）。 “Tesla计算云”论点很迷人，但我识别出的最大物理障碍是：推理延迟。 要生成“Token B”，模型必须先生成“Token A”。它不能同时做两者。如果你将一个巨大模型（如Grok-3）拆分到5辆不同的汽车中以适应内存，你必须为每个生成的Token在这些汽车之间发送数据。 因此，如果汽车之间的网络延迟甚至是20ms（5G的乐观估计），而你生成50个Token，你刚刚在计算时间之上添加了1秒的纯“等待时间”（延迟）。在使用NVLink的数据中心中，该等待时间以纳秒计。 同样适用于零售用户拥有的任何备用计算机、GPU等。有数十亿消费级GPU（Teslas、iPhones、游戏PC）90%的时间闲置。 解决推理的“分布式延迟”问题呈现了计算史上最大的套利机会之一。 尚未看到任何公司大规模完成此任务。也许NVIDIA Dynamo、$AKAM、TSLA正在接近。 10. 铜互连寿命延长 - 解决Nvidia和其他公司的瓶颈 既然我们不能拥有无限的InP，我们必须用现有的东西（例如铜）进行工程绕行，所以铜电缆可以做物理上说它不应该做的事，如在不损失信号的情况下跨机架传输224G信号。 行业在InP上遇到了硬性停止，美国在物理上无法开采和精炼足够的InP将数据中心中的每个链接变成光纤。 如果有任何帮助，那就是好事。例如，NVDA对Groq团队和IP的200亿美元“收购雇佣”。LPU更多是关于推理延迟/架构，但它作为副产品解决了铜寿命延长。Groq的整个架构在延迟上击败了Nvidia，因为它拒绝了光学。Groq使用“确定性”网格，依赖芯片之间的直接电气（铜）连接，避免光学开关的“抖动”和转换时间。 像 $ALAB、$CRDO、Groq，或任何能找到用铜绕过光学瓶颈方法的公司将是赢家。 _这里有从私人部门投资到公共部门的众多交易！只是今天即兴写下了我的想法，但乐意稍后详细阐述。 无论如何，我相信这些主题投资中的许多： 从投资InQ瓶颈绕行（$POET）或瓶颈本身（$AXTI）到公共部门的颠覆者（$CRCL）。 到投资铜扩展瓶颈修复（Groq）、银行特许状颠覆者（Mercury）到私人部门的演进公司（Lightmatter、Festo）。 在2026年呈现不对称上行空间。 新年快乐！
原推 ↗英文原文
2026 Newsletter. Thematic Investments: Evolution, Disruption, and Bottlenecks 1. Soft Robotics - Evolution to $TSLA, $ONDS, Boston Dynamics. 2. SiPh - InP Bottleneck | $AXTI, $LITE, $GOOGL 3. Glass Substrates - Bottleneck | $NVDA, $INTC, $TSM 4. Money Movement - Disruption to $V, Stripe, $BOA 5. AI Cloud Layers - Bottleneck | $NBIS, $IREN, $HUT. 6. LLM Cybersecuirty - Evolution to $CRWD, $CSCO, $MSFT 7. LEO Space Infrastructure | Evolution to $RKLB, SpaceX, $ASTS 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, $PATH Cognition 9. Distributed Computing Latency - Bottleneck | $TSLA, $AMZN, $GOOGL, 10. Copper Interconnect Life Extension - Bottleneck | $NVDA (LPU/Groq), $AMD, $INTC _ This is an light overview of thematic investments I find the most interesting from a public-information synthesis perspective + second/third-order effects from bottlenecks! _ 1. Soft Robotics: The Evolution to Robotics Traditional robotics (Optimus, Boston Dynamics) relies on Inverse Kinematics to rigid joints. Soft robotics changes the math. We've met the point where hardware (Optimus, Boston Dynamics, Figure) met LLMs (Gemini, Grok, Opus), and we're at the beginning of possible widespread commercialization. By using materials inspired by octopus tentacles and human skin, robots are moving away from gears and toward fluidity to handle extremely delicate tasks like handling produce like the human hand, to picking up extremely heavy surfaces adding Octopus-like extensions to $ONDS/Andruil Drones. The evolution is thinking outside the box in terms of what robotics can do. I remember working with some Stanford PHds in this field like 7 years ago, and it just so happens AI is starting to be commercialized after many years of research. So expected, this field to be as well. Possibilities are limitless adding organism-like fluidity to rigid robotics, this is just the natural evolution. Most of these are prob private companies. _ 2. Silicon Photonics - Bottleneck of the AI Infrastructure "InP Chokepoint" Blackwell Ultra Clusters to Google TPUs have hit the upper wall and requires photonics for interconnects | OCS to scale up. The Substrates: $AXTI (via Tongmei) and Sumitomo (Japan) control roughly 60-70% of the world's InP substrate market. The Materials: Companies like Vital Materials (China) and AXT control the refining of the raw Indium itself (78%+ of supply chain). If you are a US tech giant, your entire "AI Growth Story" for 2026 depends on materials controlled by geopolitical rivals. The only scalable solution is engineering around it, either by delivering light-on-chip, while using 90% less InP or companies that use tiny slivers of Indium Phosphide instead of large, expensive wafers. There's opportunities with the bottleneck itself like AXT, Sumitomo. Or companies that help address it like $POET. _ 3. Glass Substrates - Fixing the Bottleneck for CPOs from $NVDA to others. The shift toward glass substrates is essentially the semiconductor industry’s answer to a physical wall they are hitting with current materials. Current chips sit on a substrate made of organic materials (essentially specialized plastic). As chips get larger, like Nvidia's massive GPU packages, plastic substrates warps. So, glass substrates is becoming the industry standard for Co-Packaged Optics (CPO) because they solve the single biggest problem in photonics with alignment. US Government already sees this as a necessity and we've seen huge subsidies funneling down to some of these companies. Companies like $INTC, Samsung Electronics, Absolics (SKC Subsidiary), DNP, and others are the main beneficiaries, especially as MRVL and $AVGO (driving glass for optical switches) move forward with CPO revolution. _ 4. Money Movement - The Disruption to Card Networks, Banking, Exchange, and Payments For decades, moving money has been a "toll road" business. Every time you swiped a card, 2% to 3% of that money vanished into the pockets of the Card Networks (Visa/Mastercard) and Issuing Banks. Or buying/selling crypto from an exchange would be .2-1%. It was the most profitable, "un-killable" business model in history. Until now. The "Genius Act" of 2025 just handed companies like $XRP with Money Transmitter Licenses or Banking Charters the keys to the kingdom. Not really theoretical for me. I happen to be working on this myself at my own startup with some folks who created V / $PYPL's real-time payment networks. But basically companies with existing MTLs or pursuing banking charters leveraging the Genius Act and some other tech can now bypass legacy % fees by doing settlement on top of the Federal Reserve and blockchains, effectively converting percentage-based fees into a few cents. Would 99% companies do it? Probably not since every single margin from across the payment industry would just go to 0. I'd be happy though. But basically Bridge's $1.1B acquisition by Stripe should have been a red-alarm to existing companies that days of 1-Day ACH, interchange models, $25 international transfers, are soon to be over. This extends to many other adjacents from low fee disruptions like $HOOD, Mercury all the way to Stablecoin Neobanks, or companies making their own stablecoins like $SOFI. _ 5. AI Cloud Layers - The Solution to HyperScaler compute Bottleneck While Hyperscalers are stuck in 3-5 year grid interconnection queues, miners like WULF and IREN are sitting on plug-ready GWs today This is the opportunity of a lifetime as hyperscaler funnel their cash cow Cloud revenues down to tiny companies. There's many different layers to this from Fluidstack, Poolside, Fireworks on the GPU orchestration layer, to the bare metal layer that companies like IREN are building. Then there's becoming the hyperscaler themselves like NBIS owning the physical locations, the GPU, software orchestration, and then providing simple interfaces for inference. This is the opportunity for a few small companies to become Amazon Web Service or Microsoft Azure over the next year or two, or get acquired (eg. GOOGL buying Intersect for $4.7B) Neoclouds like NBIS, IREN, CRWV, down to colo plays like CIFR, WULF, HUT (and private sectors -> Energy) stand to benefit. _ 6. LLM Cybersecurity - The Evolution to Modern Security and Vulnerability Defense Recent reports (e.g., from Anthropic's Red Team) showed that advanced models like Opus (and future iterations) could autonomously scan open-source smart contracts and identify "Zero-Day" exploits worth millions of dollars in minutes. The Implication: If an AI can find a logic flaw in a immutable Blockchain contract, it can find a flaw in a bank's SWIFT API or a power grid's control software. Same with KYC/AML. Models like Gemini Nano Banana are able to create realistic images/videos of people and people are able to get past a lot of programs. There's tons of things as an unsexy alpha in this field like LLMs automating away SOC2/PCI dss compliance to agents sitting on a server, continuously monitor logs, and auto-generate the evidence needed for auditors. 7. LEO Space Infrastructure | The Evolution to Expanding into the final frontier. Space is the next big thing. This is not anything new. (hope you got the joke). But anywhere from companies like $RKLB, SpaceX. Companies that fix orbital congestion or launch cadence bottlenecks. To companies that commercialize the infrastructure like ASTS or Starlink present many opportunities over the next year. So companies like Impulse, Blue Origin, $ASOZF to RKLB, $ASTS stand to benefit across the entire chain. 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, PATH Cognition This one is simple and needs no explanation. But largely obvious in potential impact on employment + cost saving. How do you automate away business development? How do you automate away marketing? How do you automate away software engineers? This is going past few step ChatGPT answers and directly in to the real world where an AI agent can roam X, find the right people, DM someone, continue conversations, and lead to a sales call in just one workflow. This is the end of the "Chatbot" era and the beginning of the "Action" era replacing everyone previously required in a company. I haven't quite seen this done at scale yet with any company. Public companies like META that own these, don't really present the best exposure. Maybe $PATH for public space. 9. Distributed Computing Latency - Fixing the Bottleneck for AI Compute Capacity Strains Hyperscalers like GOOGL Cloud, MSFT Azure at max capacity. Elon Musk already floated distributed computing as the future of solving this issue (eg. having networks of $TSLA's providing compute for LLMs for inference). The "Tesla Compute Cloud" thesis is fascinating, but the single biggest physical barrier I've identified is: Inference Latency. Too generate "Token B," the model must first finish generating "Token A." It cannot do both at the same time. If you split a massive model (like Grok-3) across 5 different cars to fit it in memory, you have to send data between those cars for every single token generated. So, if your network latency between cars is even 20ms (optimistic for 5G), and you are generating 50 tokens, you just added 1 full second of pure "waiting time" (latency) on top of the compute time. In a data center using NVLink, that wait time is measured in nanoseconds. Same applies to any spare computer, GPU, and others owned by retail users. And there's billions of consumer GPUs (Teslas, iPhones, Gaming PCs) that sit idle 90% of the time. Solving the "distributed latency" problem for inference presents one of the single greatest arbitrage opportunity in the history of computing. Haven't really seen any companies that accomplished this at scale yet. Maybe NVIDIA Dynamo, $AKAM, TSLA, getting a little closer. 10. Copper Interconnect Life Extension - Addressing the Bottlenecks of Nvidia and Others Since we can't have infinite InP, we have to engineer around it with what we have (eg. Copper), so copper cables can do things that physics said it shouldnt like carrying 224G signals across a rack without signal loss. The industry is hitting a hard stop on InP where, US cannot physically cannot mine and refine enough InP to turn every link in a data center into fiber optics. If anything helps, then it's good. EG. NVDA's $20B "Acqui-hire" of Groq's team and IP. LPU is more about inference latency/architecture but it addresses copper life extension as a byproduct. Groq’s entire architecture beat Nvidia on latency because it rejected optics. Groq uses a "deterministic" mesh that relies on direct electrical (copper) connections between chips, avoiding the "jitter" and conversion time of optical switches. Companies like $ALAB, $CRDO, Groq, or anyone who can find ways to engineer around the optical bottleneck with copper will be a winner. _ There are tons of trades from both private sector investments to public! Just wrote up my thoughts on the fly today, but happy to elaborate later. Regardless I believe a lot of these thematic investments from: Investing in InQ Bottleneck Workarounds ( $POET ) or the bottleneck itself ( $AXTI ) to Disruptors ( $CRCL ) in the public sector. To Investing in copper extension bottleneck fixes (Groq), bank charter disruptors (Mercury) to evolutionary companies (Lightmatter, Festo) in the private sector. Present asymmetrical upside in 2026. Happy New Year!
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驳斥MRVL被取代谣言，指出物理限制使其无法短期切换，视抛视为买入良机。
终于深入研究了 $MRVL。 我的第一反应：市场和分析员/新闻到底在抽什么？ 来自 Maia 量产的收入几乎是 $MRVL 2025 财年总收入的两倍。 看数据，这令人震惊： 富邦 (Fubon) 预计 Marvell 仅在 2027 年微软 Maia 量产中就能获得 100-120 亿美元的收入。 作为对比，Marvell 2025 财年收入为 57.7 亿美元。 无论如何看，Marvell 看起来都是博通 (Broadcom) 的强劲竞争对手（在收购 Celestial 之后），也是一个极佳的长线标的。 但是... The Information / Benchmark 发布了新闻称： - 微软正在与博通谈判，以在未来几代产品中取代 Marvell。 - 亚马逊 Trainium 3 和 4 的设计流向了台湾竞争对手 Alchip Technologies。 导致股价大幅抛售。 深入研究后，这怎么可能呢？ “Marvell Technology 股价下跌，因为 Benchmark Equity Research 下调评级， citing 失去亚马逊 AI 芯片业务。” “Benchmark 认为 Marvell 输给了 Alchip，尽管 Marvell 最近预测数据中心增长强劲。” - Trainium 3 的生产已锁定 Marvell 的设计。如果不从头设计全新芯片，你无法“切换”到 Alchip。如果要共享范围，当然可以，但措辞简直糟糕透顶。 $MRVL 已经获得了 $AMZN 整个 2026 年的 Trainium 3 订单，亚马逊为什么要取消所有订单然后选择新供应商？ 可能有不同的范围、额外的设计服务等，但所有新闻的框架听起来像是 $MRVL 被取代了。 Benchmark 自己在造成损害后（通过更多“行业讨论”）大幅收回了说法，称 Marvell 并未完全失去 Trainium 3/4，而是亚马逊增加了 Alchip 作为额外设计支持，而 Marvell 仍保留地位。 但股价已经受损。 至于 The Information 关于 $MSFT Maia 输给博通的报道，这是煽动性新闻。 摩根大通 (JP Morgan) 后来直接出来基本说这是假的，“没有 ASIC 项目份额损失”。 在微软交易上，市场完全错过了“立即取代”和“未来几代”讨论之间的细微差别。 物理规律使得从 Maia 到博通的立即切换不可能，除非有惊人的多年延迟。 现在用博通取代 Marvell 的 Maia 300 需要废弃整个 2nm 掩模集，重新设计 I/O 环，并重启 3 年的验证周期。Marvell 特定的 SerDes IP 也嵌入在芯片的 I/O 环中（重定时器和交换机通信）。如果微软目标是在 2027 年量产 Maia 300，芯片必须在 2026 年中后期进入验证阶段。这意味着物理设计今天已经冻结或接近冻结。 今天（2025 年 12 月）与 $AVGO 的新 ASIC 设计将面临以下最短时间线： - 架构与 RTL（12 个月）：逻辑定义和 IP 选择。 - 物理设计到流片（9-12 个月） - 掩模生产与晶圆厂（3-5 个月）：TSMC 2nm 周期。 - 硅后验证（6-9 个月） 总时间：~30-38 个月。 即使加快几个月，这些“与 $AVGO 的讨论”最早也要到 2028 年才能大规模部署。为了赶上 2027 年的量产时间表，微软必须出货 Marvell 的设计。 此外，微软的机架基础设施使用 Marvell 的“Alaska”重定时器和 DSP 在电缆中。 微软必须： - 重新认证机架中每根电缆和背板的信号完整性。 - 拆下主板上的 Marvell 重定时器并替换为博通版本 还要更改他们的定制液冷机架“sidekick”，这是针对 $MRVL Maia 芯片特定版图分布指定的。$AVGO 芯片会有完全不同的物理版图和热密度，他们需要重新设计机架。 所以当市场计入立即取代风险并基于 TMZ 式的讨论八卦谣言交易时，他们完全是在开玩笑，谣言称微软想探索选项。 $MRVL CEO 甚至出面表示他们手中握有明年全年预测的“采购订单”。2026 年的预测可能偏低，因为 $AMZN 和 $MSFT 的量产都面临延迟。 但如果你看长期 Q4 2026 到 2027，仅从他们的订单和 Maia 300 来看：即使仅估计 ~200 亿美元收入带来 7.72 美元每股收益，30 倍市盈率（之前交易在 35-40 倍），如果是两年后等待，股价将从 85 美元涨到 231.60 美元/股。 所以 TLDR：整个“取代”理论被极其完全地误解了，只是噪音。通常我不会为此写整篇文章，但看到 The Information 和其他新闻一次又一次出现，通过煽动性措辞传播错误信息，这简直疯了。 中期切换在物理上是不可能的，市场误解了取代。所以最近的抛售看起来是一个坚实的买入机会。 至于未来的讨论，当然任何公司都希望供应商多元化。如果 Meta 想从博通多源采购，$MRVL 也可以对 $META MTAI 未来几代做同样的事。 如果仅按单个项目 Maia 300 建模并忽略媒体噪音，$MRVL 看起来非常有前景。
原推 ↗英文原文
Finally took a deeper look at $MRVL. My first reaction: What are the markets and analysts/news smoking? Revenue derived from Maia ramp is literally double $MRVL's FY 2025 revenue. If we look at the numbers, it's staggering: Marvell is modeled to take in $10-$12B in revenue (Fubon) in Microsoft Maia ramp in 2027. Alone. To put that in perspective, Marvell's FY 2025 revenue was $5.77B. No matter how I look at it, Marvell looks like a strong Broadcom competitor (after Celestial acqusition) and a terrific long. But... The Information / Benchmark released news that: - Microsoft is negotiating with Broadcom to displace Marvell in future generations. - Amazon Trainium 3 and 4 designs went to Taiwanese competitor Alchip Technologies. causing a massive selloff. After looking into it more, how is this even possible? "Marvell Technology declines after Benchmark Equity Research downgrades the stock, citing a loss of Amazon’s AI chip business." "Benchmark believes Marvell lost Amazon’s Trainium 3 and 4 designs to Alchip, despite Marvell’s recent forecast of strong data-center growth." - Trainium 3 production are locked to Marvell's design. You can't "swap" to Alchip without designing an entirely new chip from scratch. If you want to share scope, sure but the wording is absolutely atrocious. $MRVL already secured Trainium 3 orders from $AMZN throughout 2026, why in the world would Amazon cancel them all and then go with a new vendor? There can be different scope, additional design services, etc. but the framing from all the news sounds like $MRVL is being displaced. Benchmark itself later walked it back materially after causing damage (via more "industry discussions") and said Marvell did not lose Trainium 3/4 outright, but that Amazon added Alchip for additional design support while Marvell retains a position. But the damage has already been done to stock price. As for The Information report on $MSFT Maia loss to Broadcom this is sensational journalism. JP Morgan later literally came out and basically said it's all false, "there has been no ASIC program share loss". On the Microsoft deal, markets completely missed the nuance between "immediate displacement" and "future generation" discussions. The physics of this make an immediate swap impossible from Maia to Broadcom without incredible multiple-year delays. To replace Marvell with Broadcom for the Maia 300 now would require scrapping the entire 2nm mask set, redesigning the I/O ring, and restarting a 3-year validation cycle. Marvell’s specific SerDes Is is also embedded in the chip’s I/O ring (retimers and switches comms). If Microsoft targets a 2027 ramp for Maia 300, the chip must be in validation phase by mid-to-late 2026. This implies the physical design is already frozen or nearing freeze today. A new ASIC design with $AVGO today (Dec 2025) would face this minimum timeline: - Architecture & RTL (12 months): Logic definition and IP selection. - Physical Design to tape ot (9-12 months) - Mask prod & Fab (3-5 months): TSMC 2nm cycle. - Post-Silicon validation (6-9 months) Total Time: ~30–38 months. Even if this is sped up by many months, these "Discussions with $AVGO " not be ready for volume deployment until 2028 at the very earliest. To hit the 2027 ramp timelines, Microsoft must ship the Marvell design. Then there's Microsoft’s rack infrastructure uses Marvell’s "Alaska" retimers and DSPs in the cables. Microsoft would have to: - Re-qualify the signal integrity of every cable and backplane in the rack. - Rip out Marvell retimers from the motherboard and replace them with Broadcom versions As well as change their custom liquid-cooling rack "sidekick", which was specified toward specific distribution of the $MRVL Maia chip’s floorplan. A $AVGO chip would have a completely different physical floorplan and thermal density and they'd need to regineer the rack. So market are completely trolling if when they price in immediate displacement risk and trade on TMZ-style discussion gossip rumors that Microsoft wanted to explore options. $MRVL CEO even went out and said they have "purchase orders in hand" for the entirety of the next year's forecast. 2026 forecasts are probably light because $AMZN and $MSFT both faced delays on their ramp. But if you look at longer term Q4 2026 into 2027, we just from their orders and Maia 300 alone: even just estimating $7.72 EPS from ~$20.0B revenue, 30x P/E (they've traded 35-40 before), would be $231.60/share from $85 if you want to wait 2 years. So TLDR: The whole “replacement” theory is extremely completely misinterpreted and is just noise. Normally, I wouldn't write a whole post on it, but seeing The Information and other news pop up again, and again, spreading misinformation through sensational wording is just crazy. There's a physical impossibility of a mid-cycle swap and market misunderstanding of displacement. So the recent sell-off looks like a solid buying opportunity. As for future discussions, of course any company would want vendor diversification. $MRVL can go do the same with $META MTAI future generations too if Meta wants to multi-source away from Broadcom. If you model just by single project Maia 300 alone and ignore media noise, $MRVL looks incredibly promising.
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梳理AI光子学及InP衬底供应链核心标的，涵盖从底层材料到芯片的全链条。
呃，根据我个人的研究，为了全面覆盖我看好的一切： 1. $AXTI 位于整个供应链的最底端，占据 1/3 的磷化铟(InP)衬底和 1/4 的磷化铟(InP)份额。AI 供应链竟然与这只市值 7 亿美元的股票紧密相连，这完全出乎意料。 2. $DOWA + 住友电气，用于在衬底和材料方面进行西方对冲。 3. $AAOI, $LITE 针对超大规模云服务商的芯片，一家服务于 $AMZN/$MSFT，另一家服务于其他客户但更侧重于 $TPU。 4. $MRVL + $AVGO 我认为这就足以捕捉光子学物料清单(BOM)的价值以及磷化铟(InP)供应冲击。 还有一些其他有趣的标的，比如 Landmark Opto，我正在关注。 $POET 没进这个名单，反正你可以通过 $MRVL 获得敞口，除非我漏掉了什么。
原推 ↗英文原文
Uhh, from my own personal research so far, to cover all grounds I’ve liked: 1. $AXTI at the very bottom of the entire supply chain + 1/3rd of InP substrates 1/4th of InP. Completely unheard of that AI supply chain is tethered to this $700m stock. 2. $DOWA + Sumitomo Electric for Western Hedge on substrate + materials. 3. $AAOI, $LITE for hyperscaler chips, one for $AMZN/ $MSFT, the other for everything but more levered to $TPU 4. $MRVL + $AVGO I think that’s kind of all you need to capture photonics BOM value + InP supply shock. There’s some other interesting ones like Landmark Opto that I’m looking at now. $POET didn’t quite make that list and you’d be getting exposure through $MRVL anyway, unless there’s something I missed
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分析AXTI/中国磷化铟瓶颈对AI供应链的致命影响及关键材料估值逻辑。
这是一份关于 $AXTI/中国 在衬底生产和激光级磷化铟方面导致整个 AI 基础设施建设出现单点故障的研究笔记。我并未对个别公司进行估值分析。但如果这一流程中断，$LITE、$COHR、$AVGO 乃至 $GOOGL、$MSFT 都将面临极端的延迟。如果你们感兴趣，我会另写一篇文章关于如何对关键材料瓶颈进行估值。基本上，如果 2024 年的积压订单为 5000 万美元，而总可寻址市场 (TAM) 为 1.5 亿美元。而现在，由于它是关键材料，如果谷歌愿意为此支付 50 倍的溢价（仅为保持生存而增加 BOM 成本的百分之几），那么原本 5000 万美元积压订单的估值逻辑就会转变为未来产能的 25 亿美元。
原推 ↗英文原文
This is a research note on point failure of the entire AI buildout in $AXTI/China from both substrate production and laser-grade Indium Phosphide. I’m not doing valuation analysis on individual companies But if this flow stops, $LITE, $COHR, $AVGO to $GOOGL, $MSFT faces extreme delays. I’ll write something else about valuing critical material bottlenecks if you want. But basically if a backlog was $50m from 2024 and TAM was $150m. And now because it’s a critical material, if Google would be willing to pay 50 times that (only a few percent increase on BOM cost to stay alive), then the valuation math of that original $50m backlog -> $2.5B for future capacity changes.
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AI光互连依赖磷化铟，其原料78%在中国，AXTI成关键瓶颈。
“瓶颈中的瓶颈”：磷化铟(InP) $AXTI 和 $SMTOY 构成双寡头。它们控制了全球 60% 以上的磷化铟(InP)衬底，是 AI 建设的关键瓶颈。 更令人警觉的是：这依赖于磷化铟(InP)。 磷化铟(InP)是垄断市场。78% 由 $AXTI 和中国控制。 这就是“瓶颈中的瓶颈”： 磷化铟(InP)衬底市场已是日本和中国实体之间的双寡头。然而，上游激光级原料（如住友所需）的生产主要由 $AXTI（再次出现）和中国公司主导。 主要问题在于： AI 行业极度依赖光子学来实现规模化。无论收发器是“基于磷化铟”还是“基于硅”，光源始终是：磷化铟(InP)。 随着 AI 集群从 1 万颗 GPU 扩展到 10 万颗以上，“铜缆瓶颈”迫使全面转向光互连。这使得磷化铟(InP)对 AI 规模化的重要性超过几乎任何其他单一材料。 此外，激光级原料纯度必须至少达到 6N（99.9999%）。即使是微量杂质（硅、硫、锌）也不像 LED 等其他领域那样可接受。大多数研究可能混淆了激光级原料与普通磷化铟产出。 住友是磷化铟衬底市场最著名的名字。他们在高端激光衬底领域占据巨大市场份额。但贸易数据显示，他们越来越依赖来自 $DOWA 和中国公司的外部磷化铟原料。（由于自有回收和储备，他们可能仍被计入原料所有权列表中） 所以，如果认为整个西方 AI 建设因有一家日本公司作为双寡头之一而感到安全，请三思。 瓶颈的源头被 $AXTI 和中国供应商所瓶颈。 如果我们看生产，以下是深度研究估算的控制权分布： Vital Materials - 35%（现货市场） - Vital 在 2020 年收购凡亚金属交易所库存（3600 吨铟），使其掌控全球铟市场。他们利用这一优势成为最大的磷化铟多晶生产商。主导成本领先者；控制原生铟供应（凡亚库存）。 $AXTI - 25%（北京同美晶体技术） - 主要自给自足。其大部分多晶生产被自家晶体生长炉消耗以制造晶圆。但他们也向现货市场销售原材料和化合物，是混合型玩家。 他们是全球唯一从矿山、精炼厂到磷化铟衬底产出的公司，鉴于他们同时拥有原材料和磷化铟衬底控制权，这是一个绝对疯狂的瓶颈。供应自家晶圆生产；关键的非日本来源。 株洲科能新材料 - 18% - 科能实现了“磷化铟多晶量产”并拥有“高度集成的自动多晶生产能力”。他们是中国铟出口配额的关键接收方。纯合成专家；主要出口商。 然后外部： $DOWA - 12% - 西方公司中最大的供应商（是的，日本）。在采矿（秋田锌）方面根基深厚，因此是高纯度金属有机化合物和化合物的领先供应商。 “日本企业”（住友、JX）的“来源” Wafer Technology Ltd - 5% - IQE plc 的子公司。对于需要非中国原料的北约联盟供应链来说，这是关键战略资产，尽管他们目前正在进行资产清算。 InPACT（法国）- 3% - InPACT 称他们通过高压合成的水平梯度凝固(HGF)生产多晶锭，以满足（诺基亚、爱立信）和一些欧洲国防部门的要求。 世界其他地区 - 2% 这包括主要衬底制造商（Coherent、住友）、小规模研究生产以及试图打破垄断的韩国或台湾新兴玩家。 现实是，全球 78% 的激光级磷化铟原料产能位于中国。 光组件的需求已经以数倍超过供应/生产。这还是在上量之前。整个 AI 建设被两家公司瓶颈。 但 1/4 的材料来自：$AXTI。而约 1/3 的磷化铟衬底产出再次来自激光级原料。 整个 AI 建设依赖于一家随机的 7 亿美元公司，它既是瓶颈中的瓶颈，也是瓶颈本身。 扩大磷化铟衬底和激光级原料的生产既是国家安全问题。
原推 ↗英文原文
"Bottleneck within a Bottleneck": Indium Phosphide $AXTI | $SMTOY is a duopoly. They control 60%+ of the world's InP substrates as the bottleneck of the AI buildout. What's even more alarming? This is dependent on: Indium Phosphide. InP is a Monopoly. 78% control by $AXTI / China. Here's the bottleneck within a bottleneck: The InP substrates is already a duopoly between Japanese and Chinese entities. However, upstream production of laser-grade feedstock required by companies like Sumitomo is dominated by $AXTI (again) and Chinese companies. Here's the major issue: The AI industry is extremely reliant on photonics to scale. Whether, transceivers are "InP-based" or "Silicon-based" the photon source remains: Indium Phosphide. As AI clusters move from 10,000 to 100,000+ GPUs, the "copper bottleneck" is forcing a total shift to optical interconnects. This makes InP more critical to AI scaling than almost any other single material. On top of that, laser-grade feedstock must be at least 6N (99.9999%) pure. Even trace amounts of impurities (Silicon, Sulfur, Zinc), cannot be used like they do in other segments like LED. And most research probably confuses laser-grade feedstock with regular InP outputs. Sumitomo is arguably the most famous name in the InP substrate market. They hold a massive market share in the high-end laser substrate segment. Yet trade data suggest they are increasingly reliant on external feedstock for Indium Phosphide from companies like $DOWA and from China. (They're likely still included in feedstock ownership lists bc of captive recycling and reserves) So if the entire Western AI buildout feels safe regarding a Japanese company as a duopoly, think again. The source of the bottleneck is bottlenecked by Chinese suppliers like $AXTI and Chinese companies. If we look at production there's are estimates from deep research breakdown of estimate controls: Vital Materials - 35% (Merchant) - Vital acquired Fanya Metal Exchange inventory (3,600 tonnes of Indium) in 2020 gave them large control over the global Indium market. They have leveraged this to become the largest producer of InP polycrystal. Dominant cost leader; controls raw Indium supply (Fanya stocks). $AXTI - 25% (Beijing Tongmei Xtal Technology) - Primarily Captive. Most of their polycrystal production is consumed by their own crystal growth furnaces to make wafers. However, they also sell raw materials and compounds to the merchant market, making them a hybrid player. They're the only company in the world that goes from mines, refineries -> InP substrate output, which is an absolutely crazy bottleneck given they own both the raw materials into InP substrate controls. Feeds own wafer production; key non-Japan source. Zhuzhou Keneng New Material - 18% - Keneng has achieved "mass production of polycrystalline indium phosphide" and possesses "highly integrated automatic polycrystalline production capacity". They are a key recipient of China's export quotas for Indium. Pure-play synthesis specialist; major exporter. Then Outside: $DOWA - 12% - The biggest supplier out of any Western company (yeah Japanese). Deep roots in mining (Akita Zinc), so they're the leading supplier of high-purity metal organics and compounds. The "source" for Japan Inc. (Sumitomo, JX) Wafer Technology Ltd - 5% - A subsidiary of IQE plc. Critical strategic asset for NATO-aligned supply chains that require non-Chinese feedstock, even though they're going through asset liquidations right now. InPACT (France) - 3% - InPACT states they produce polycrystalline ingots via Horizontal Gradient Freeze (HGF) using high-pressure synthesis so they meet requirements from (Nokia, Ericsson) and some European defense sectors. Rest of World - 2% This includes major substrate makers (Coherent, Sumitomo), small-scale research production, and emerging players in Korea or Taiwan who are attempting to break the monopoly. The reality is that 78% of the global capacity for laser-grade InP feedstock is located in China. The demand for optical components already exceeds supply/production by multiple factors. This is pre-ramp too. The entire AI buildout is bottlenecked by two companies. But 1/4th of the materials comes from: $AXTI. And ~1/3rd of InP Substrate outputs again comes from laser-grade feedstock. The entire AI buildout is dependent on some random $700m company that serves as both the bottleneck of a bottleneck and the bottleneck. It's both national security issue to scale up InP production both for substrate and laser-grade feedstock.
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澄清Grok误解，指出AVGO依赖AXTI等InP衬底，AXTI具备全产业链优势。
Grok 可能混淆了晶圆制造(wafer fab)与磷化铟(InP)衬底制造。$AVGO 的 Penn 工厂仍需从住友、$AXTI 或 JX 采购 InP 衬底来制造激光器（这就是瓶颈所在），且它们很可能是客户。 而那家市值仅 7 亿美元的化合物半导体公司 $AXTI 可能是其中唯一一家实现端到端控制的企业，从镓、铟等初始原材料精炼开始就拥有上游资源。 因此，“主要不进口 InP 晶圆/衬底”这一说法可能是错误的。
原推 ↗英文原文
Grok is likely conflating wafer fab with InP substrate manufacturing. $AVGO's penn fab still requires InP substrates from Sumitomo, $AXTI, or JX to build the lasers (hence the bottleneck) and they're likely customers. And that small $700M MC company $AXTI is probably the only one of the bunch that does this end-to-end by owning Gallium, Indium, etc. on from the initial raw material refining. So the "does not primarily import InP wafers/substrates” part is probably wrong.
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InP衬底成AI光互连瓶颈，$AXTI/$SMTOY掌控命脉，2026年或致供应链危机。
“磷化铟(InP)瓶颈”：AI基础设施建设的关键瓶颈解析： $NVDA Blackwell、$META MTAI、$GOOGL TPU 和 $MSFT Maia 的产能爬坡，其未来取决于两家市值仅7亿美元的小盘股 $AXTI 和 $SMTOY。 如果无法解决 InP 问题，AI“增长”故事将在2026年终结。 原因如下： AI行业正开始向光子学迁移，以部署未来的 ASIC/GPU，因为铜互连已触及物理极限。 然而，超大规模云服务商在这样做时，却将命运押注在了 InP（磷化铟）这一通用材料上，而全球仅有少数工厂能以激光器所需的纯度生产6英寸 InP 晶圆。 以 Google 及其 TPU v7 Ironwood 项目为例： Google 使用光电路交换(Optical Circuit Switching, OCS)，简单来说就是由光构成的交换机。Pod 中的每一个 TPU 进行通信都需要基于 InP 的激光器。与 Google 合作的 $LITE 在很大程度上依赖 InP 衬底（如 AXT/住友）来制造这些激光器。 如果没有这些衬底，Google 的整个 Ironwood 项目不仅仅是“放缓”，而是会直接撞墙。 来自 $NVDA GB 系列、$AMZN Trainium、$MSFT Maia、$META MTAI 的现代 ASIC/GPU 都做出了同样的押注：光是未来的方向。 现在，问题出现了。 整个西方 AI 路线图目前都系于一家市值7亿美元的小盘股和一家单一的日本公司，它们生产了全球光子学所需的大部分 InP 衬底。 目前这是一个双寡头格局（粗略估计 AXT + 住友供应约60%），最近的估计显示约70%+的供应来自住友电气、AXT、Freiberger、JX 和 Visual Photonics Epitaxy（填补剩余缺口）。 无论如何，整个未来的 AI 供应链细如针尖： - Moomoo 研究：InP 市场处于“全球争夺”和“严重供应短缺”状态，NVIDIA GB200 的推出（扩展仍需大量 InP，不仅仅是机架内的 NVL72 通信）。 - 高速收发器的需求目前可能超过供应近两倍（LightCounting） - 看到创纪录的预订，但明确“受限于 InP 激光器的供应”（$COHR CEO Q3 财报电话会） - 麦肯锡：800G 模块存在 40% 到 60% 的缺口，1.6T 模块存在 30% 到 40% 的缺口。 鉴于需求的激增，这些报告可能理解得过于保守。即使按照微软对 Maia 爬坡的预测（据 UBS $MRVL 笔记，2027年 Maia 估计超过100万台），加上未来一年超过200万台 1.6T 收发器，这一体量如此之大，代表了全球衬底产量的双位数百分比。 AI 预期的“指数级增长”即将与关键材料生产的现实发生碰撞。因此，“Ironwood”、“MTIA”和“Maia”的爬坡不仅雄心勃勃，在当前材料限制下可能根本不可能实现。 即使 $COHR、JX 日本、住友、$AXTI 等以最大产能扩产（例如 $COHR / JX -> 6英寸 InP 晶圆产能提升4倍），他们可能仍无法满足超大规模云服务商日益增长的需求。特别是考虑到需求激增，例如仅 $NVDA 自身（GB200/GB300 修订版）的需求。 硅光子学等技术解决方案可以弥合差距，但这仍然主要需要外置 InP 激光器作为光源。TFLN 或量子点激光器还需要很多年才能成熟。 未来几年可能无法摆脱对 InP 的需求。 因此，芯片设计与材料可用性之间的错配创造了一个战略瓶颈，在供应链的最底层，极少数公司控制了大部分配额、定价和供应。当叠加美中关系紧张和出口管制的地缘政治风险时，这尤其危险。 话虽如此，以下是可能发生的事情： - 价格飙升：$AXTI、JX、住友的价格将大幅飙升 -> $LITE、$COHR、中际旭创（也会通过下游传导提高价格） - 超大规模云服务商将直接囤积材料，绕过传统组件采购，直接从 $AXTI、JX 日本、住友购买 InP 衬底库存，并直接委托给像 $LITE 这样的收发器制造商。 （例如，Meta 将绕过收发器公司，直接去找 AXT 或住友） - 超大规模云服务商将买断生产配额（就像 $NVDA 已经积极“锁定”EML 产能（在 InP 衬底上制造）那样）。 购买衬底制造商或生产配额将成为一种必要，以免被 $NVDA 或 $GOOGL 等竞争对手饿死。 随着 TPU v7 和其他超大规模云服务商在 2026-2027 年爬坡，我们可能会进入衬底的“饥饿游戏”阶段，每个超大规模云服务商都将为了资源配额而相互吞噬对方的增长。 像 $NVDA（拥有创纪录的预分配量）这样的公司可能暂时没事，但其他项目可能会面临重大延误。 思考： 1. 一些超大规模云服务商可能没事（$NVDA）。其他如 $GOOGL 和 $MSFT 需要在其他人之前买断材料和配额。 2. 行业需要加倍投入工程转型，如延长铜的使用寿命和更节省材料的方式如硅光子学(SiPh)。 3. 转向6英寸晶圆以提高良率（能缓解情况，但仍不足以满足需求） 因此，现状是，数万亿美元的 AI 扩展系于一些不起眼的7亿美元公司 $AXTI 和 $SMTOY。除非架构改变，否则 AI 似乎不可避免地会因 InP 衬底产能而触及物理天花板。 2024年的瓶颈是 GPU。2025年是 HBM。2026年，主要约束很可能是光互连，特别是驱动它们的 InP 衬底。 这已成为 AI 基础设施建设中隐藏的瓶颈。
原推 ↗英文原文
The "InP Chokepoint": The Bottleneck of the AI Buildout explanation: The future of $NVDA Blackwell, $META MTAI, $GOOGL TPU, and $MSFT Maia ramp is tied to: A $700M small cap $AXTI and $SMTOY. The AI "Growth" story ends in 2026 if there's no solution to InP. Here's why: The AI industry started its migrating to photonics for future ASIC/GPU deployments, because copper is hitting a physical limit. However, in doing so, hyperscalers traded the common material for InP (Indium Phosphide), when there's only a few factories capable of producing 6-inch InP wafers at the purity levels required for lasers. Let's take for example Google and their TPU v7 Ironwood program: Google uses Optical Circuit Switching (OCS), in simpler terms, switchboards made of light. For every one of those TPUs in the pod to talk, they require InP-based lasers. $LITE, which works with Google on this, largely depends on InP substrate (eg. AXT/Sumitomo) to make them. If they don't have it Google's entire Ironwood program doesn't just "slow down", it hits the wall. Modern ASICs/GPUs from $NVDA GB series, $AMZN Trainium, $MSFT Maia, $META MTAI have all made the same bet: Light is the way forward. Now, here's the issue. The entire Western AI roadmap is currently tethered to a $700M small-cap and a single Japanese company that produce majority of the world's InP substrates required for photonics. It's currently a duopoly (rough estimates majority supply ~60% between AXT + Sumitomo), with recent estimates of ~70%+ coming from Sumitomo Electric, AXT, Freiberger, JX, and Visual Photonics Epitaxy (filling in the gaps). Regardless, the entire future AI supply chain is thinner than a needle: - Moomoo Research: InP market is in a state of "global scramble" and "serious supply shortage" NVIDIA GB200 rollout (scale-out still requires tons of InP, not NVL72 within-the-rack comm). - Demand for high-speed transceivers today probably exceeds the supply by almost a factor of two (LightCounting) - Seeing record booking, but explicitly "supply-constrained by InP lasers" ( $COHR CEO Q3 ER) - McKinsey: 40% to 60% shortfall for 800G modules and a 30% to 40% shortfall for 1.6T modules. And these reports are likely understanding + very conserative given the demand ramp. Even going off Microsoft's projections on Maia ramp, ( est. 1M+ Maia by 2027 on UBS $MRVL note), with 2 million+ units of 1.6T transceivers over the next year, this volume is so large it represents a double-digit percentage of global substrate output. The projected "exponential growth" of AI is about to collide with the reality of critical material production. So, the "Ironwood", "MTIA" and "Maia" ramps aren't just ambitious, they may be impossible under current material constraints. Even if $COHR, JX Nippon, Sumitomo, $AXTI, and others, ramp up at maximum capacity (eg. $COHR / JX -> 6-inch InP wafers for 4x capacity), they still might not be able to meet the increasing demand from hyperscalers. Especailly with demand spikes occurring, eg. just for $NVDA alone (GB200/GB300 revisions). There are technical solutions like silicon photonics is one solution to bridge the gap, but this still largely requires an external InP laser as the light source. TFLN or quantum dot lasers are many many years away. There's probably no escaping the InP requirements for the next few years. So, the mismatch between chip design and material availability has created a strategic chokepoint, where if you go to the very bottom of the supply chain, very few companies control a majority of allocations, pricing, and supply. This is especially dangerous when compounded with geopolitical risks on US/China relations + export controls. That being said, here's what's probably what's going to happen: - Price Spikes: Prices from $AXTI, JX, Sumitomo will spike significantly -> $LITE, $COHR, Innolight (also increases prices from pass down) - Hyperscalers will directly stockpile materials, bypassing traditional component procurement and buying InP substrate inventory from $AXTI, JX Nippon, Sumitomo, and directly to consign to transceiver manufacturers like $LITE. (eg. Meta would bypass transceiver companies and go directly to AXT or Sumitomo) - Hyperscalers will buy out production allocation ( like $NVDA that has already aggressively "locked in" EML capacity (manufactured on InP substrates). Buying a substrate manufacturer or production allocation would become a necessity to so others like $NVDA or $GOOGL doesn't starve them out. As TPU v7 and and as other hyperscalers ramp up in 2026-2027, we will likely enter a "hunger games" phase for substrates where only each hyperscaler will be cannibalizing each other's growth for resource allocation. Companies like $NVDA (with record amounts of pre-allocation), might ramp be okay for the time being, but others programs would likely face major delays. Thoughts: 1. Some hyperscalers might be fine ( $NVDA). Others like $GOOGL and $MSFT will need to buy out materials + allocation before others do. 2. Industry needs to double down on engineering shifts like copper life extension and more material efficient ways like SiPh. 3. Move to 6-inch wafers for yields (eases things, but still not enough to meet demand) So the way things are now, the multi-trillion dollar AI scaling are tethered to some obscure $700m company $AXTI and $SMTOY. It seems inevitable that AI will hit the physical ceiling because of InP substrate capacity unless architectures change. In 2024, the bottleneck was GPUs. In 2025, it was HBM. In 2026, the primary constraint will likely be the optical interconnect, and specifically, the InP substrates that power them. This has now become the hidden bottleneck of the AI buildout.
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AXTI和住友垄断InP衬底，或成AI光子化最大瓶颈。
警告：整个AI行业可能会受到两家公司的瓶颈制约： 1. $AXTI（市值7亿美元） 2. $SMTOY（市值317亿美元） 这两家公司控制了全球60-70%以上的磷化铟(InP)衬底市场。 未来$NVDA、$GOOGL TPU v7集群、$META、$MSFT、$AMZN等超大规模数据中心集群都需要基于InP的激光器和接收器。 $AVGO、$LITE、$COHR使用电吸收调制激光器(EML)用于800G/1.6T光模块、分布反馈(DFB)激光器和其他光基础设施。 没有InP衬底，供应链就会停滞。 在查看了从TPU到Maia的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)+GPU+超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球InP衬底市场，涵盖几乎所有领域： - 超大规模光器件（TPU集群等） - 光模块（5g，数据） - 激光雷达(LiDAR)（自动驾驶出租车，无人机，军事） - 光模块（互连集群） - 硅光子学激光芯片（英伟达未来的共封装光学(CPO)和英特尔/博通硅光子学引擎使用InP连续波激光阵列。） 由于这些公司占据了市场供应的大多数： -AXTI（估计~30-35%） -住友（估计~30%） - JX日本（估计10-15%） 仅此而已。（例如，Yole 2021年的行业报告指出“住友电气+AXT共同拥有‘超过75%’的InP衬底市场”） 超大规模/AI正在向光子学发展，但整个AI行业是脆弱的。 如果$AXTI或$SMTOY中的任何一家停止供应材料，整个未来的AI建设就会瘫痪。更疯狂的是，一家7亿美元的公司可能成为这一切的中心。 随着AI行业向光子学转变，InP衬底可能会成为与高带宽内存(HBM)并列的最大瓶颈之一。
原推 ↗英文原文
Warning: The entire AI industry will likely be bottlenecked by two companies: 1. $AXTI ($700M) 2. $SMTOY ($31.7B) Which both control 60–70%+ of the world's InP substrates. Future $NVDA, $GOOGL TPU v7 pods, $META, $MSFT, $AMZN hyperscaler clusters require InP-based lasers and receivers. $AVGO, $LITE, $COHR use for EMLs for 800G/1.6T transceivers, DFB lasers, and other optical infra. Without InP substrates, the supply chain falters. After looking at TPU BOM to Maia BOM, it looks like future ASICs + GPUs + hyperscaler deployments are heavily reliant on photonics. And two vendors could freeze the global InP substrate market covering nearly all of: - Hyperscaler optics (TPU pods, etc) - Optical transceivers (5g, data) - LiDAR (robotaxis, drones, military) -Optical Modules (interconnect clusters) - Silicon photonics laser dies (Nvidia’s future co-packaged optics and Intel/Broadcom SiPh engines use InP CW laser arrays.) Since these companies make up majority of the market supply: -AXTI (est. ~30–35%) -Sumitomo (est.~30%) - JX Nippon (est. 10-15%) That’s it. (eg. 2021 industry note from Yole states that "Sumitomo Electric + AXT together had “more than 75%” of the InP substrate market") Hyperscalers/AI are moving toward photonics but the entire AI industry is fragile. If either $AXTI or $SMTOY stop supplying materials, the entire future AI buidlout gets crippled. It's even crazier that a $700m company could become the the center of it all. InP substrate will likely one of the biggest bottlenecks alongside HMB as the AI industry shifts to photonics.
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InP成2026新瓶颈，市场重估AAOI与LITE在超大规模云ASIC中的价值。
$AAOI 自今日发布论点以来上涨 24%，$LITE 上涨 5%。 从物料清单(BOM)分析来看，LITE（市值 270 亿美元）因光路交换(OCS)技术而向 TPU Ironwood 倾斜，同时也受益于 NVDA 及所有专用集成电路(ASIC)。 AAOI（市值 25 亿美元）则主要受益于 MSFT MAIA 的量产爬坡和 Amazon Trainium。 磷化铟(InP)就像高带宽内存(HBM)一样，将成为 2026 年的瓶颈，因为它们是这些部署中激光器使用的基础材料。 类似于美光和 SK 海力士的内存瓶颈，市场注意力可能会转向 InP 晶圆厂，例如 $AAOI，它是美国少数几家此类工厂之一（还有 COHR, Macom）。 但相比之下，$LITE 由于 Google TPU 的成功（来自 Meta 和 Anthropic 的采购订单），今年迄今(YTD)已上涨 362%，而 $AAOI 今年迄今仅上涨 7%。 我们主要看到这种情况是因为散户或媒体对 $AMZN Trainium 或 $MSFT Maia 部署缺乏关注，这些部署预计将在 2026-2027 年大规模量产。 然而，由于每个超大规模云服务商都希望降低其自有云平台的推理成本，它们很可能都会成功。 如果我们看到其他超大规模云服务商采用 OCS 以实现 TPU 达到的优化性能，鉴于 $LITE 在该特定领域的垄断地位，预计其估值将比现在进一步提升。 然而，如果我们看到 $MSFT Maia 量产（鉴于 $AAOI 可能正在为他们开发新架构），以及 $AMZN Trainium 量产（40 亿美元权证 + 采购订单），预计 $AAOI 将重新估值。 光电子学和 InP 将成为像内存一样的新瓶颈。 我们可能会看到投资流向下游玩家，如 $COHR、中际旭创(Innolight)、$LITE，以及 2026 年针对特定超大规模云服务商 ASIC 的隐藏杠杆标的如 $AAOI 这一主题。 市场目前正在奖励 Google TPU 供应链，但可能错过了其他超大规模云服务商 ASIC 的量产机会。
原推 ↗英文原文
$AAOI is up 24% and $LITE is 5% since my thesis today. From BOM analysis, LITE ($27B) is levered toward TPU Ironwood due to OCS but benefits from NVDA + all ASICs. AAOI ($2.5B), is levered toward MSFT MAIA ramp and Amazon Trainium. InP like HBM, will be a bottleneck for 2026 as they’re the foundational materials used for lasers in these deployments. Similar to memory bottlenecks with Micron and SK Hynix, we’ll likely see attention drawn to InP fabs, such as $AAOI, which happens to be one of the sole ones in America (COHR,Macom) But compared to $LITE that is up 362% YTD due to the success of Google’s TPU (from Meta and Anthropic purchase orders), $AAOI is only up 7% YTD. We’re largely seeing this because there’s a lack of retail or media attention on the $AMZN Trainium or $MSFT Maia deployments, which are largely expected to ramp up in 2026-2027. However they’re all likely to succeed due to each hyperscaler wanting to lower costs of inference for their own cloud platform. If we see other hyperscalers adopt OCS for optimized performance that the TPU achieved, expect $LITE to re-rate more than they have now given their monopoly in that specific segment. However, if we see $MSFT Maia ramp up (given $AAOI is likely developing a new architecture for them), and $AMZN Trainium ramp up ($4B warrant + purchase orders), expect $AAOI to rerate. Photonics and InP will be the new bottleneck like memory. We’ll likely see investments pour down stream to players like $COHR, Innolight, $LITE, and hidden levered plays on specific hyperscaler ASICs like $AAOI as a theme in 2026. The market is currently rewarding the Google TPU supply chain but might be missing other hyperscaler ASIC ramps.
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LITE因OCS垄断地位及供应瓶颈，受益于AI巨头需求。
$LITE 正处于“刚好合适”的黄金时刻，因为所有的 $GOOGL TPU、超大规模云厂商的 ASIC 以及 $NVDA Blackwell 架构都依赖它。目前他们因需求旺盛而面临供应瓶颈（类似于美光 Micron）。据我了解，光子学领域目前呈双寡头垄断格局（$COHR 和 Lite）。然而，在光电路交换(OCS)领域——这是 Google TPU 架构为实现更高性能所采用的技术——凭借专利组合和技术优势，$LITE 处于垄断地位。如果 $MSFT 和 $AMZN 最终也采用 OCS，那对 LITE 来说将是绝佳时刻。超大规模云厂商在磷化铟(InP)晶圆厂方面的垂直整合在短期内难度极大。未来几年内不太可能有人能取代他们（也许 2027-2028 年 $AVGO 的竞争会加剧），但就目前而言，他们只是受限于供应能力。
原推 ↗英文原文
$LITE is in the goldilocks moment where every single GOOGL TPU + hyperscaler ASIC + NVDA blackwell depends on it. Right now they're supply constrained from demand (similar to Micron). From what I understand, photonics right now is a duopoly ( $COHR and Lite). However, for OCS, which is what Google TPU architecture uses for better performance, $LITE is a monopoly from their patent portfolio + tech. If $MSFT, $AMZN end up adopting OCS, it's just a holy moment for LITE. Hyperscaler vertical intergration of InP fabs is just way too difficult near term. Nobody will likely replace them next few years at least (maybe 2027-2028 increasing competion from $AVGO) but as of now, they're just supply constrained right now.
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Lumentum凭借AI光网络垄断地位，有望随巨头资本支出增长实现市值翻倍。
$LITE 的投资逻辑：AI 领域的隐形垄断。 Lumentum 今年迄今上涨 316%，但到 2027 年可能上涨 1000%+。 美光 ($300B) 或台积电 ($1.5T) 位于每个部署的 TPU/GPU 中心。 但 $LITE 也是如此，而其市值仅为 $26B。 在谷歌的每一个 TPU 中，$LITE 为其市值创造了惊人的利润。 这是因为它是光路交换 (OCS) + 光网络的标准。 它也存在于： - $NVDA Blackwell - $AMZN Trainium - 以及其他超大规模云服务商的 ASIC 中。 Lumentum 位于光子学芯片部署的“神圣三位一体”中。 对于每笔 TPU 资本支出，$LITE 占据 8-12%。对于每个 Nvidia GPU，$LITE 占据 ~2-3%（在 InnoLight 和其他公司之间分配，所以计算有点复杂）。 仅针对 NVDA GPU 部署的 BOM 粗略估算： NVIDIA Blackwell (GB200)： HBM 内存：~50–55%（SK 海力士主导，美光，三星） 逻辑（GPU 裸片）：~25-30%（$TSM 4NP） CoWoS 封装：~13-18% $TSM 光网络：~3–5%（InnoLight, Lumentum, Coherent） PCB/电源：5% 谷歌 TPU “Ironwood” TPU v7： HBM 内存：38-42% 三星 / SK 海力士 逻辑裸片：TSM ~28-33% 设计/I.O：8-10% 联发科 光网络：10-14%（$LITE 主要，$COHR 次要） 光交换：2-4% $LITE $LITE 估计的总集群份额：~8–12% 仅供参考，谷歌的“光”BOM 份额（8–12%）是一个异常值，源于其独特的光路交换 (OCS) 垄断。 粗略估算： 到 2027 年谷歌 TPU 支出 $40B。$LITE 占据 10%（30-40% 利润率），仅来自谷歌的自由现金流超过 $1.5B，仅其主要客户就带来 17 倍市盈率。（分析师在预测 TPU 支出增长时可能严重偏离。） 这甚至不包括其在 $AMZN Trainium、$NVDA Blackwell、$MSFT Maia 和其他芯片部署中的份额。 $LITE 目前位于每个 TPU/GPU 未来芯片部署的中心，并从中分得一杯羹。 唯一的 downside 是，虽然他们现在是明确的市场领导者，但 $AVGO 和 $COHR 很可能在 2027-2028 年准备好竞争。然而…… 人们说“$26B，历史新高，为什么现在买”。 这就是原因。他们参与了未来每一个部署的 TPU/GPU/ASIC。 如果谷歌 TPU 和其他芯片支出增加，且 LITE 从每个美元支出中占据 2-3%（来自 $NVDA, $AMZN, $MSFT）或 8-12%（来自 $GOOGL），$LITE 最终很容易超过 $60B+。
原推 ↗英文原文
The $LITE thesis: The hidden monopoly in the AI. Lumentum is up 316% YTD, but might be 1000%+ by 2027. Micron ($300B) or TSM ($1.5T) sit in the center of every TPU/GPU deployed. But same with $LITE, but it's a $26B MC. In Every, Single, TPU from Google, $LITE makes unbelievable amounts of profit for their marketcap. That's because it's the standard for Optical Circuit Switching (OCS) + optical networking. It's also in - $NVDA Blackwell -$AMZN Trainium - and other hyperscaler ASICs. Lumentum sits in the holy trinity of every single chip deployment for photonics. And for every TPU capex spent, $LITE takes 8-12%. For every Nvidia GPU, $LITE takes ~2-3% (split between Innolight and some others, so the math gets a bit complex). But some napkin math on NVDA GPU deployments alone for BOM: NVIDIA Blackwell (GB200): HBM memory: ~50–55% (SK Hynix (Lead), Micron, Samsung) Logic (GPU Die): ~25-30% ( $TSM 4NP) CoWoS Packaging: ~13-18% $TSM Optics/Network: ~3–5% (Innolight, Lumentum, Coherent) PCB/Power: 5% For Google TPIU "Ironwood" TPU v7: HBM Memory: 38-42% Samsung / SK Hynix Logic Die: TSM ~28-33% Design/I.O: 8-10% MediaTek Optical Network: 10-14% ( $LITE (primary), $COHR secondary) Optical Switch: 2-4% $LITE $LITE est. total cluster share: ~8–12% Just an FYI, Google's "Optical" BOM share (8–12%) is an anomaly due to their unique Optical Circuit Switch (OCS) monopoly. Just for some napkin math: $40B Google TPU spend by 2027. $LITE captures 10% (30-40% margins), $1.5B+ FCF from Google alone, 17x earnings from just their primary customer. (analysts are probably extremely off with projecting TPU spend scaling). Not even including their split from $AMZN Trainium, $NVDA Blackwell, $MSFT Maia, and other chip deployments. $LITE is in the center of every single TPU/GPU future chip deployment for now and takes a cut. The only downside is they're the clear market leader now, but $AVGO and $COHR are likely set up to compete by 2027-2028. However... People say "$26B, ATH, why are you buying now". This is the reason. They're involved in every future single TPU/GPU/ASIC deployed. $LITE could end up easily over $60B+ if Google TPUs, and other chip spend ramps up and LITE takes a 2-3% (from $NVDA, $AMZN, $MSFT) or 8-12% cut (from $GOOGL) for every single dollar spent.
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OpenAI 高估值融资改善 AI 数据中心与供应链风险偏好
最新消息：OpenAI 在完成 5000 亿美元估值、100 亿美元以上的 Amazon 轮融资后，正在以 7500 亿美元估值继续融资。 $CRWV：+15.85% $NBIS：+10.28% 有了这笔交易，像 CoreWeave 和 Oracle 这样的公司，在为 OpenAI 的资本开支需求建设容量时，对手方风险在结构上降低了，因为 OpenAI 的资产负债表更强了。 像 Nebius 这种算法上和行业龙头绑定的公司，也因此上涨。 从 Rocket Lab 到 Bitcoin，高 beta 资产普遍上涨。 最近因为日元套息交易解除，加上今天大量未平仓合约到期，市场出现了极端波动。 不过，AI 交易的基本面（尤其是 Micron 神级财报显示了极强内存需求）以及 Neocloud 的基本面，仍然比以往更好。
原推 ↗英文原文
Latest news: OpenAI is raising funds at a $750B valuation after their $10B+ Amazon round at $500B. $CRWV: +15.85% $NBIS: +10.28% With this deal, companies like Coreweave and Oracle structurally have less counterparty risk with OpenAI's stronger balance sheet to fund capex requirements. Companies like Nebius that are algorithmically tied to the sector leaders are up as a result. High-Beta Assets from Rocketlab to Bitcoin are up across the board. There was extreme volatility recently with the Yen carry trade unwinding + large open interest expiring today. However, the fundamentals of the AI trade (especially with Micron's godlike ER showing extreme memory demand), and Neoclouds remain better than ever.
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Amazon 投资 OpenAI 对 AI 数据中心和 ASIC 供应链的连锁影响
最新：Amazon 的 100 亿美元 OpenAI 融资，以及 AI 供应链的涟漪效应。 $AMZN 将以 5000 亿美元以上估值向 OpenAI 投资 100 亿美元以上。 为什么这是 AI 股票的重大结构性变化： 1. AI 数据中心交易去风险：（$ORCL、$CRWV、$APLD、$CORZ） 结合前面提到的 SPEED 法案，影响 Neocloud 的主要问题是： 1. 数据中心延迟和递延收入 2. 不可持续的 CapEx -> 没有 FCF 3. OpenAI 传染/积压订单风险 SPEED 法案直接处理了第 1 和第 2 点，但没有处理 OpenAI 相关的第 3 点。 影响 Oracle、CoreWeave 等最大 Neocloud/数据中心提供商的主要担忧，是它们为 OpenAI 这个对手方投入了巨额 capex，而 OpenAI 本身没有足够资金承诺这些资本开支。 但现在，随着 Amazon 新融资，第 3 点开始被解决。 - 新增 100 亿美元资金，加上 Amazon 的资产负债表支持 ChatGPT 的创造者，OpenAI 对 Oracle 和 CoreWeave 的早期承诺开始获得兜底。 - 下游影响：这直接降低了 $CRWV 和 $ORCL 的风险，因为它们在为 OpenAI 建设容量。再往下两层，依赖 CoreWeave 作为租户的 $APLD 或 $CORZ 也会被去风险。 由于 CoreWeave 和 Oracle 被视为“行业龙头”，这会立刻改变整个 Neocloud 板块的情绪，包括 $NBIS、$IREN、$CIFR、$WULF 等。 2. Hyperscaler AI capex 浪潮（$AMZN、$MRVL、Alchip）： 我们之前看到，$AVGO ASIC backlog 之后，市场开始担心 hyperscaler 支出减弱，很多相关玩家因此大跌。 但这笔交易的关键条件之一，是 OpenAI 采用 Amazon 自研 Trainium ASIC。这代表非 Nvidia 集群会激进扩张。 - 设计与 IP：直接利好 Marvell（$MRVL）和 Alchip 等 ASIC 设计伙伴。 - 定制硅集群需要大量光互连和 HBM。这会为光子（$AAOI、$LITE、$COHR）和内存（$MU、SK 海力士）创造新的 capex 超级周期。 - 代工厂，比如 $TSM。 以及更多参与 hyperscaler ASIC 建设的相关公司。 唯一输家？Nvidia（$NVDA）。 Amazon 正在成功用它庞大的资产负债表，迫使领先 LLM 摆脱对 H100/Blackwell 的依赖，同时推动整条 AI 供应链。 核心结论是，AI 交易由世界上最富有的公司资助，比如 $AMZN；OpenAI 也正在证明，它可以通过出让股权来扩大资产负债表，以满足需求。 做多 AI 板块。
原推 ↗英文原文
Just In: Amazon's $10B OpenAI Funding and The AI Supply Chain Ripple Effect. $AMZN is set to invest $10B+ in OpenAI at a $500B+ valuation Why this is a MASSIVE structural shift for AI stocks: 1. De-Risking the AI DC trade: ( $ORCL, $CRWV, $APLD, $CORZ ) With the SPEED Bill mentioned earlier, the main issues affecting Neoclouds were: 1. DC Delays & Deferred Revenue 2. Unsustainable CapEx → No FCF 3. OpenAI Contagion/Backlog. the Speed bill directly addresses #1 and #2. But not #3 with OpenAI. The main fears affecting the biggest Neocloud/Datanceter providers like Oracle, Coreweave was their immense capex spend for a counterparty (OpenAI) that doesn't have the funding to commit to it's capex spend. But now, #3 is starting to be addressed with the new Amazon funding. - With a fresh $10 Billion and Amazon’s balance sheet backing the creator of ChatGPT, OpenAI's early commitments to Oracle and CoreWeave are now starting to be backstopped. - Downstream Impact: This directly derisks companies like $CRWV and $ORCL, who are building capacity for OpenAI. And by two hops, companies like $APLD or $CORZ that rely on Coreweave as a tenant. As Coreweave and Oracle are seen as the "sector leaders" this immediately changes sentiment across the whole Neocloud sector from $NBIS, $IREN, $CIFR, $WULF and others as well. 2. The HyperScaler AI capex wave ( $AMZN, $MRVL, Alchip): We've seen fears after $AVGO ASIC backlog about hyperscaler spending waning. And many related players tanked on the news. However, a key condition of this deal is OpenAI’s adoption of Amazon’s proprietary Trainium ASICs. This signals an aggressive scaling of non-Nvidia clusters. - Design & IP: Direct benefit to ASIC design partners like Marvell ( $MRVL ) and Alchip. - Custom silicon clusters require massive optical interconnects and HBM. This creates a new capex supercycle for photonics ( $AAOI, $LITE, $COHR ) and memory ( $MU, SK Hynix). - Foundries such as $TSM. and many more related companies involved in the buildout of hyperscaler ASICs. The only loser? Nvidia ( $NVDA ). Amazon is successfully using its massive balance sheet to force the leading LLM to diversify away from H100/Blackwell dependence and boosting the whole AI supply chain alongside it. The main takeaway is that the AI trade is funded by the richest companies in the world, such as $AMZN, and OpenAI is showing it can scale up its balance sheet to meet requirements by trading off equity. Go long on the AI sector.
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周五科技股崩盘但作者认为散户方向长期正确，类似TSM/MU历史将重演
接飞刀还是抄底？ Oracle和Broadcom财报之后，周五股市对投资者来说简直是残酷的一天。 仅一天内大跌的热门FinX股票： $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% 我通常会对每只股票做更多点评，但这次真的是太震撼了。像$FRMI因为租户流失/融资问题下跌还能理解，但其他一些就很难解释了。 $NBIS现在比政府、$MSFT和$META交易后还要低，$AVGO在$GOOGL TPU加速生产后却经历了史上最大跌幅之一。 你们周一在关注或买入什么？ （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）： FinX是个泡沫。 r/wallstreetbets上的交易员也一样。 人们持有相同的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA等。 然而：这其实是一件好事。 这些年来我见过这种情况反复上演。 短期来看，当人们买1-3个月到期的期权时，他们会在这些"泡沫化"且拥挤的交易中亏钱。 长期来看，一年后，散户对这些公司的方向判断是对的。 而这才是最重要的部分。 以$TSM（140-150美元）为例，一两年前当$NVDA最初崛起时，它曾是Reddit上最热门的股票代码。 散户的方向判断是对的，因为$TSM是整个人工智能建设浪潮的中心。 短期来看，由于买入2个月后到期的看涨期权，股价停滞甚至跌至127美元，每个人都亏了钱。 一年后股价涨幅超过100%+，所有那些看涨期权本来可以涨10倍。 $MU也是一样。Reddit知道内存是人工智能繁荣的重要组成部分，于是在同一笔交易上扎堆。 然而$MU在100美元停滞了一整年，每个人都亏了钱。 时间快进到现在，从美光到SK海力士，内存是最热门的东西，从65美元飙升至245美元，涨幅超过200%。散户方向判断对了，但最终被迫止损离场。 我坚信像$NBIS这样的股票，我们正处于散户买了太多短期期权、像当初$TSM或$MU那样被迫止损持有股票的那个时期。 然而时间快进一年，这可能就像$TSM、$MU或$HOOD（在18美元时）那样散户方向一直正确、却获得3-4倍回报的情况。 我确信FinX散户股票"泡沫"在短期内可能判断不正确——在那个时间框架内，未平仓合约、宏观波动率和做市商主导着市场——但长期来看方向判断是对的。
原推 ↗英文原文
Falling Knife or Dip Buy? What a brutal Friday for stocks after $ORCL and $AVGO earnings. Popular FinX names that dropped in just 1 day: $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% I usually add more commentary on each stock, but it's been pretty incredible to watch. Things like $FRMI makes sense on losing tenants/funding but as for others. $NBIS is now lower than post Gov, $MSFT, and $META deals & $AVGO just had one of its largest drops in history even after $GOOGL TPU ramp. What are you watching or buying on Monday?
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AVGO财报被误读，AI逻辑未变，大跌提供买入良机。
我对 $AVGO 财报的解读是，市场主要误解了其积压订单(backlog)数据。关于 $NVDA GPU 生态系统和 Mag7 ASIC 生态系统的 AI 交易整体逻辑依然成立，但市场却将其视为泡沫破裂+严重不及预期。我们正经历从“AI是下一个大趋势”到“AI是泡沫”，再到“AI是下一个大趋势”，最后又回到“AI是泡沫”的循环。波动性和13%以上的跌幅使得多只股票成为良好的买入机会。
原推 ↗英文原文
So my takeaway from $AVGO earnings is that it's mainly misunderstood backlog numbers. Overall thesis on AI trade from $NVDA GPU ecosystem and Mag7 ASIC ecosystem is in-tact but the market is treating it like a bubble popping + terrible miss. We're just going from AI is the next big thing -> Ai is a bubble -> AI is the next big thing -> AI is a bubble. Volatility and -13%+ drops makes several names a good buy.
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博通财报后AI板块抛售是误解造成的买入机会，新云板块中OpenAI依赖股除外
博通[$AVGO]业绩及其对AI板块的影响，如$LIITE和$NBIS： 博通的业绩"双重超预期"，营收$180.2亿(+28% Y/Y)，EPS $1.95，超出共识预期。 但AVGO下跌-11.64%，并拖累了整个AI板块。 这是买入机会吗？ 是的。 博通被视为超大规模云厂商ASIC代理增长的代表，因为亚马逊$AMZN Trainium、微软$MSFT Maia、尤其是谷歌$GOOGL TPU V7 Ironwood都通过它进行规模化部署。 而像$ALAB(-13.2%)、$CRDO(-5.11%)、$LITE(-12.23%)、$TSM(-3.71%)、$COHR(-9.25%)等公司都是TPU/ASIC建设以及博通作为公司的直接受益者。 博通下跌有三个原因，市场下跌有一个原因： 就博通而言，有一些小问题，如税率变化影响EPS模型，或因更多定制AI芯片而非更高利润率软件导致的"利润率压缩"，但这只是会计处理框架问题。（类似于$META在一次性税收后最初的下跌） 对博通和整体市场而言，是积压订单预期问题。以上所有引用的内容与ASIC市场预期增长相比都是小问题。 博通披露未来18个月$730亿的AI积压订单。而有关Anthropic和META购买价值数十亿$GOOGL TPU的传言，人们隐含预期是$800亿+。 然而，这次抛售是由算法和短期AI泡沫情绪驱动的价格错位，而非基本面破裂。 这条积压订单引用是确认订单的最低合同底线。谷歌$GOOGL、亚马逊$AMZN等公司可能会继续增加ASIC订单，而市场未能辨别这一细微差别。 分析师预期营收转化会更加前置，Q4之后积压订单应该会减少，这给出了2026年更高的可能范围$550-600亿+，而非$730亿预期中的$500亿。 TLDR：关于超大规模云厂商ASIC加速以与$NVDA依赖竞争这一论点没有改变。$AVGO和其他如$COHR、Sk Hynix、$MU、$VRT和$LITE都将受益。 这不是关于营收积压订单的最佳消息，但由于交付周期/订单周期和最低底线而被误解。 如果非要说什么，较低的超级云厂商ASIC需求对$NVDA及其生态系统是有益的，但我们也看到$CRWV、$SMCI、$NBIS和$NVDA GPU/DC计算生态系统今天都从盲目抛售中下跌超过5%，尽管存在负相关性。 这又是典型的"AI泡沫"周期因误解而再次来袭。AI股票普遍下跌10-12%的恐慌是一个绝佳的买入机会。 （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）: 甲骨文[$ORCL]业绩及其对新云板块如$NBIS和$IREN的影响： 甲骨文报告EPS超预期且积压订单创纪录，但盘后下跌12%。 甲骨文较9月11日高点下跌39.8%，并拖累整个板块。 原因如下： 这次抛售不仅仅是对边际营收miss的反应，而是算法做空和投资者对AI资本支出周期可持续性以及该板块主要租户信用资质的不看好： OpenAI。 甲骨文宣布2026年资本支出增加$150亿至近$500亿，这与报道的与OpenAI $3000亿合作伙伴关系密不可分。 最初，OpenAI是前沿LLM，对甲骨文、Coreweave等公司有前景良好的资本支出承诺，促成了该板块的初始重新定价。 然而，随着超过$1万亿的义务以及Anthropic、Gemini、XAI等竞争对手的增加，市场严重质疑甲骨文、Coreweave等公司是否为无法从运营现金流履行其义务的租户在建设。 我们看到市场有效地发出信号：甲骨文正在为OpenAI创造一种不可持续的债务驱动型"供应商融资"，而OpenAI无法履行其承诺。 因此下跌是理性的：这次抛售是由信用风险和资本密集度的理性重新定价所驱动。 OpenAI融资担忧是合理的：OpenAI缺乏资金履行合同的假设得到其营收($130亿)与义务($600亿/年)之间明显不匹配的支撑。 信用担忧是真实的：甲骨文CDS利差扩大显示"信用事件"降级或违约的概率上升。 此外，我们看到这在新云板块引发传染效应，$NBIS从$140跌至$90s，$IREN从$80跌至$40s，$CIFR从$24s跌至$17s。 但这对$WULF、$NBIS、$IREN等新云公司来说是买入机会吗？ 是的。 这对$ORCL来说是好的买入机会吗？ 不是。 前瞻展望： $ORCL（很大一部分）、$CRWV（25%积压订单）是两个主要依赖OpenAI的公司，这一叙事可能因OpenAI的融资活动而瞬间翻转（+30%+变化）。 如果OpenAI在2026年以高估值超额认购IPO，且其新GPT模型击败Gemini/Claude，我们可以看到这种改变。 然而，许多其他公司与OpenAI无关。新云板块的原始论点是Mag7资本支出从其现金牛业务（Azure、AWS、GCP）向下流向：$NBIS、$IREN、$CIFR、$WULF等。 但随着最大玩家($ORCL、$CRWV)下跌，这些公司算法性地拖累了整个板块。 如果你看各家公司，$CIFR和$WULF由$GOOGL兜底，$IREN/$NBIS由$MSFT资助。 这些是与超大规模云厂商/Mag7的锁定合同积压订单，而非OpenAI。 这种因误解风险而导致的不理性抛售为新云板块提供了绝佳的买入机会，但不是与OpenAI相关的公司如$ORCL和$CRWV。
原推 ↗英文原文
Broadcom [ $AVGO ] earnings results and its effect on the AI sector like $LITE and $NBIS: Broadcom's ER was "double beat" with $18.02B revenue (+28% Y/Y) and $1.95 EPS, beating consensus. But AVGO dropped -11.64% and brought down the AI sector. Is this a buying opportunity? Yes. Broadcom is seen as a hyperscaler ASIC proxy growth as companies like $AMZN Trainium, $MSFT Maia, and most importantly $GOOGL TPU V7 Ironwood are scaled through it. And by proxy companies like $ALAB (-13.2%), $CRDO (-5.11%), $LITE (-12.23%), $TSM (-3.71%), $COHR (-9.25%), and are direct beneficiaries of the TPU/Asic buildout and Broadcom as a company. There's three reasons why Broadcom fell and one why the market fell: For Broadcom, there's minor things such as tax rate changing EPS models or "margin compression" from accounting from just more custom AI chips than higher-margin software, but this is just accounting framing. (Similar to how $META dropped initially on one-time tax post-ER) For both Broadcom general market, it was backlog expectations. Everything cited above is all minor compared to expected growth of ASIC markets. Broadcom cited $73B in AI backlog for the next 18 months. And rumors of Antrophic and META buying billions of $GOOGL TPUs, people were implicitly expecting $80B+. However, the selloff represents a dislocation in price driven by algorithms and short-term AI Bubble sentiment rather than a fundamental breakage. This backlog quote was the MINIMUM CONTRACTUAL FLOOR of confirmed orders. Companies like $GOOGL, $AMZN, will likely continue ramping up ASIC orders and the market failed to discern this nuance. Analysts are expecting revenue conversion to be more front loaded, and that there should be less backlog beyond Q4 given the cycles, which gives a higher likely range of $55-60B+ for 2026 rather than $50B expected of the $73B. TLDR: The thesis regarding hyperscaler ASIC ramp to compete vs $NVDA dependency has not changed. $AVGO and other players like $COHR, Sk Hynix, $MU, $VRT, and $LITE all stand to benefit. It's not the best news regarding the revenue backlog, but it's misunderstood due to lead-time/order cycles and minimum floors. If anything, lower hyperscaler ASIC demand is beneficial to $NVDA and their ecosystem, but we've also seen $CRWV, $SMCI, $NBIS and $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.
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研究博通财报及ASIC需求外溢，计划加仓光电子股LITE。
@DigestingX 我正在研究 $AVGO 的财报，以及专用集成电路(ASIC)需求外溢至光电子(Photonics)领域如 $LITE 的情况！ 我想增加我的 $LITE 仓位，因为那目前是我持仓中占比最低的，所以正如你提到的，这可能是一个买入机会。
原推 ↗英文原文
@DigestingX I'm researching $AVGO earnings right now and ASIC demand spillover to photonics like $LITE! I wanted to add to my $LITE position since that was my lowest right now, so might be a buying opportunity as you mentioned.
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美联储降息后发布12月11日个股评级，重点推荐AI基建、稳定币及超跌成长股。
美联储降息25个基点后。 12月11日评级： 强烈买入： $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI SK海力士 $SNAP 三星电子 $ALAB $META $NBIS $CIFR 买入： $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR 回避 $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO 解释： 今天美联储如期降息25个基点。这通常会引导流动性进入成长股，并利好那些债务使用最多（以更低利率再融资）的中小盘股，例如像$NBIS和$CIFR这样的新云(Neoclouds)。 然而，这也恰逢日本加息，可能导致去年重新加载的套息交易(Carry Trade)平仓；但这是短期的，基本面>短期波动。 强烈买入评级： Circle - 大幅下跌主要由于IPO后的股份解禁。然而，降息损害了其商业模式~利息收入减少20%。 话虽如此，我们看到稳定币市场大幅增长，我个人看到大量早期风险投资（a16z, Sequoia等）涌入与稳定币相关的公司，如新银行(Neobanks)。我们应该看到所有这些都流入更多的USDC铸造，铸造量将抵消降息的影响。 Coinbase - 与Circle相同，他们在USDC方面有50%的收入分成。然而，他们还有自己的交易所，而且降息通常有助于风险资产如加密货币（尤其是比特币跌破9万美元后）。 Amkor - 受益于半导体/晶圆厂向美国制造的转移。 Credo - 过去5天下跌-16%，今天下跌8%。很好的恢复性买入，不认为数据中心建设的数据连接需求会下降。 ALAB - 与CRDO相同的论点 IBIT (比特币) - 始终是长线好标的，尤其是在$93K时 Microstrategy (MSTR) - 受益于比特币复苏，并分析了他们是否会爆仓。TLDR：不会，在需要支付利息之前（约2029年），我们还有另一次比特币减半事件。 Amazon - 今年一动不动。基本面改善，年底有助于电商部门。定制芯片、星座、Robotaxi，他们基本上什么都做，而市场尚未真正奖励他们的努力。只是感觉我们可能会在接下来的2个月看到它跑赢大盘。 SMCI - 之前发过关于这个的论点帖，惊人的恢复性买入。它因将收入积压转移到下一季度而在财报后下跌，但市场没有定价他们未来收入同比增长60%但交易在~11倍远期市盈率的事实。 TSM - 整个AI/半导体建设的骨干。我们看到关于TPU与GPU的争论，但TSM不在乎。 TSSI - 与SMCI相同的论点，依附于Dell，作为一个代理，我们看到来自IREN等供应商和其他在2026年建设数据中心的新云的巨大积压，我们应该看到这在明年实现。 SK海力士 - 显然有关于在美国市场上市升级的传闻，这应该提振流动性。此外，内存市场因AI建设而需求极高。 Snapchat - 只是被低估。$13B市值，~1B+季度收入。NA DAU较上季度下降3%，但不要为了成为下一个FB而买入。他们只需要削减GCP成本并货币化记忆功能（他们已经做了），我们应该看到明年重新评级100%+，特别是随着Perplixty交易带来的$400m+额外收入/股权。 三星电子 - 人们认为这也是内存，因为它构成了他们利润的很大一部分，但我将其视为潜在的下一个现金牛晶圆厂玩法，如TSM，作为第二大玩家吸收任何最大产能溢出。 META - 一次性税收抛售，超卖。现在我们终于看到他们创建前沿模型（Avacado，如果我记得没错的话）。所以他们可以货币化他们一直在花钱的llama开源llm努力。他们还削减了元宇宙努力，这应该是对盈利能力的巨大推动。 Nebius - 由于2500万股稀释导致短期拖累。ATM可能正在提供。话虽如此，一旦完成，由于来自其DC业务（7-9B ARR）及其4家市场未定价的子公司（同比增长100%+）的远期收入/增长，极度低估。 CIFR - 由于比特币价格（资产负债表上持有大量）导致短期下跌，但由于他们做托管(Colo)模式，不受GPU贬值争论的太大影响。此外由Google背书，并与Amazon有合同，因此从根本上降低了风险，是新云领域的顶级买入之一。 买入评级： 文字空间不够，所以给出更短的TLDR Kura Sushi - 波段交易，拉出5年图表，你会明白我的意思，每次它触底（大约现在）。这从未失败过！ Broadcom - 超大规模建设，与联发科一起对TPU至关重要 Netflix - 16%的下跌对于收购来说感觉有点不必要 KRKNF - 基本面增长良好，作为Andruil供应商的市场具有防御性。 HIMS - 股票回购计划，通常低于$40是很好的买入/波段交易。Zava收购未被定价，且仍在增长。 FLY - SpaceX $1.5T估值应该提振整个太空板块。这是2026年中型发射的玩法。 OSS - 之前对此进行过DD，潜在的Andruil供应商。否则，在这个市值下无论如何都有些低估。 TE - 少数Murican能源基础设施之一，太阳能。它可能比核能更商业化。 FLNC - 与AI建设+能源相同的论点 LITE - 现在相当过度延伸，不会追高。但长期受益于处于tpu ironwood + blackwell建设的中间。 COHR - 与Lite相同，但似乎是次要玩家。 RKLB - 可能是我最喜欢的长线。现在相当高估，但由于SpaceX的FOMO无法避免。 TTD - 之前的论点帖，仅基于远期收入数字，似乎是一个很好的恢复性玩法。 NVDA - TPU恐惧有点夸大，看看积压订单。 CLS - TPU v7生态系统买入 GOOGL - 他们像NVDA一样销售TPU，像Waymo一样增长Robotaxi市场，Gemini成功。全方位开火。 Reddit - 就像早期的Robinhood一样，只是一台印钞机。对RDDT通过FCF增长收购做了一些论点评论。否则，他们将留下来并受益于所有世代使用它（不像Snap那样早期） WULF - 类似于CIFR。重新评级可能会发生，取决于更多关于Anthropic建设的信息。 CRWV - 糟糕，糟糕的长线。良好的短期恢复性买入。 IREN - 如果他们继续购买GPU来做AI云，我不会把钱投进去，只是因为稀释。但他们可能会做托管，并且拥有大量的GW容量，所以仍然很有希望。 GLXY - 数据中心建设的受益者。 WLAC - 可能他们本月进行SPAC IPO。他们说Q4。 MPWR - TPU v7生态系统买入 回避 RGTI - 量子，没有基本面/收入支持 PLTR - 449.01B市值lol WMT - 他们每年增长4%的收入，但交易在40倍市盈率，这很疯狂。 ETH - 以太坊伟大的网络。然而，没有代币销毁，也没有收入流向代币持有者。糟糕的投资，伟大的开发者工具/生态系统。 BMNR - 以太坊代理。 TSLA - 有点脱离基本面。但这是对elon musk、大规模Robotaxi、机器人的赌注。我个人只是认为这过度承诺，但我们会看到。 IONQ - 量子，没有基本面/收入支持 ORCL - 大部分远期积压依赖于openai，如果openai在市场份额上输给claude/gemini，这使得事情极其不确定/有风险。话虽如此，现在是一个很好的恢复性买入，但长期来看有风险。 SLNH - 如果你想被他们的2.8gw管道稀释到虚无，这是要持有的股票。 OKLO - 没有像量子那样的基本面来支持目前的市值，这可能需要多年才能实现。
原推 ↗英文原文
Post-Fed Interest Rate 25BPS cut. December 11th ratings: Strong Buy: $CRCL $COIN $AMKR $CRDO $IBIT $MSTR $AMZN $SMCI $TSM $TSSI Sk Hynix $SNAP Samsung Electronics $ALAB $META $NBIS $CIFR Buy: $KRUS $AVGO $NFLX $KRKNF $HIMS $FLY $OSS $TE $FLNC $LITE $COHR $RKLB $TTD $NVDA $CLS $GOOGL $RDDT $WULF $CRWV $IREN $GLXY $WLAC $MPWR Avoid $RGTI $PLTR $WMT $ETH $BMNR $TSLA $IONQ $ORCL $SLNH $OKLO Explanations: Today fed cut interest rates 25BPS as expected. This usually funnel liquidity into growth stocks and benefits small-medium caps that use debt the most (refinance with lower interest rates), such as Neoclouds like $NBIS and $CIFR. However, this coincides with Japan hiking, which might lead to carry trade unwind from last year's reload; but this is short term, fundamentals > volatility short term. Strong Buy Ratings: Circle - Massive drop mainly due to share unlock post IPO. However, rate cuts hurt their business model ~20% revenue cut from interest. That being said, we're seeing a massive growth in the stablecoin market, and I'm personally seeing huge early venture capital funding (a16z, sequioa, etc). being poured into stablecoin related companies such as Neobanks. We should see all of this funnel into more USDC printing, and the printer outweigh rate cuts. Coinbase - Same as Circle, they have 50% revenue sharing in terms of USDC. However, they also have their exchange on top, and rate cuts generally help riskier assets such as crypto (especially post drop Bitcoin sub 90k) Amkor - Benefits from Made in America shift to semis/fab. Credo - Dropped -16% last 5 days, and 8% today. Great recovery buy, don't see connectivity demand dropping from DC buildout. ALAB - Same thesis as CRDO IBIT (Bitcoin) - Always a great long, especially so at $93K Microstrategy (MSTR) - Benefits from Bitcoin recovery and did an analysis whether they would get liquidated or not. TLDR: no, we have another bitcoin halving event before they need to pay off interest, which was around 2029. Amazon - Hasn't moved an inch all year. Fundamentals improving, EOY helps E-commerce division. Custom chips, constellations, robotaxis, they're basically doing everything and market hasn't really rewarded their effort yet. Just a feeling we might see this outperform next 2 months. SMCI - Did a thesis post on this earlier, amazing recovery buy. It dropped on earnings due to shifting revenue backlog to next quarter, but markets aren't pricing in the fact they're growing 60% Y/Y forward revenue but trading at ~11 forward p/e or so. TSM - Backbone of the whole AI/semi buildout. We're seeing arguments about TPU vs. GPU, but TSM doesn't care. TSSI - Same thesis with SMCI, piggybacks off of Dell, just as a proxy we're seeing massive backlog from vendors such as IREN, and other neoclouds building out DCs 2026, and we should see this come into fruition next year. Sk Hynix - Apparently there's been rumors about uplisting to US markets, which should be a boost to liquidity. Also memory markets is just incredibly high demand from AI buildout. Snapchat - Just undervalued. $13B marketcap, ~1B+ quarterly revenue. NA DAU dropped 3% from last quarter but don't buy this for being the next FB. All they need to do is cut GCP costs and monetize memories (which they did) and we should see this re-rate 100%+ next year, especially with $400m+ in added revenue/equity from the Perplixty deal Samsung Electronics - People think of this as memory as well because it makes up a large part of their profit, but i see this as a potential next cash cow foundry play like TSM, as the 2nd largest player to soak up any max capacity overflow. META - One time tax selloff, was oversold. Now we finally see them create a frontier model (Avacado) if i remember correctly. So they can monetize the llama open source llm efforts they've been just blowing money on. They also cut their metaverse efforts, which should be a huge boost in proftiability. Nebius - Short term drag due to 25m share dilution. ATM is likely being offered. That being said once this finishes, insanely undervalued due to forward revenue/growth from both its DC business (7-9B ARR), and its 4 subsidaries that the markets dont price in (growing 100%+ Y/Y) CIFR - Short term drop due to Bitcoin prices (holding a lot on balance sheet), but not really affected by GPU depreciation arguments since they do colo models. Also backstopped by google, and they have contracts with Amazon, so fundamentally disrisked and one of the top buys in neocloud secotr. Buy Ratings: Running out of text space so will give a shorter TLDR Kura Sushi - Swing trade zoom out 5 year chart and you'll see what I mean every time it bottoms (around now). This never fails! Broadcom - Hyperscaler buildout, critical to TPU alongside Mediatek Netflix - 16% drop feels a bit unwarranted for the acquisition KRKNF - Great growing fundamentals and defensible market as an andruil supplier. HIMS - Share buyback program, usually sub $40 great buy/swing trade. Zava acqusition not being priced in and it's still growing. FLY - SpaceX $1.5T valuation should boost up the whole space sector. This was a 2026 play for medium lift. OSS - DD on this earlier potential andruil supplier. Otherwise, kind of undervalued at this MC anyway. TE - One of the few Murican energy infra, Solar. It's likely more commercial than Nuclear. FLNC - Same thesis with AI buildout + energy LITE - Pretty overextended right now, wouldn't chase. But long term benefits from being in the middle of both tpu ironwood + blackwell buildout COHR - Same with Lite, but seems like a secondary player. RKLB - Probably my favorite long. Pretty overvalued right now but can't help it due to SpaceX fomo. TTD - Thesis post earlier, just based on forward revenue numbers, it seems like a great recovery play. NVDA - TPU fears are a bit overblown, just look at backlog. CLS - TPU v7 ecosystem buy GOOGL - They sell TPUs like NVDA, growing robotoaxis market like waymo, gemini succesful. Just firing on all fronts. Reddit - Just a money printer like early day Robinhood. Made some thesis comments about RDDT growing in terms of acquisitions from FCF. Otherwise, they're here to stay and benefits from all gens using it (unlike snap which is earlier) WULF - Similar to CIFR. Rerating might happen depending on more info about the Anthropic buildout. CRWV - Terrible, terrible long. Good short term recovery buy. IREN - I would not put money into this if they kept buying GPUs to do AI cloud just due to dilution. but they might do colo and they have an immense amount of GW capacity so it's still promising. GLXY - Beneficary of DC Buildout. WLAC - Possible that they're SPAC ipoing this month. They did say Q4. MPWR - TPU v7 ecosystem buy Avoid RGTI - Quantum, no fundamentals/revenue to back it up PLTR - 449.01B market cap lol WMT - They're growing like 4% revenue a year, but trading at 40 p/e which is insane. ETH - Ethereum great network. However, there's no token burn and none of the revenue goes to token holders. Terrible investment, great developer tooling/ecosystem. BMNR - Ethereum proxy. TSLA - Kind of detached from fundamentals. But it's a bet on elon musk, robotaxis at scale, robotics. I personally just see this as overpromising, but we'll see. IONQ -Quantum, no fundamentals/revenue to back it up ORCL - Most of forward backlog is dependent on openai, which makes things incredibly uncertain/risky if openai falls to claude/gemini in market share. That being said, it's a good recovery buy right now, but long term it's risky. SLNH - This is the stock to be in if you want diluted to oblivion on their 2.8gw pipeline. OKLO - no fundamentals like quantum to back up mc at this moment, this likely years out to come into fruition.
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建议搭配稳健股以平衡NBIS的高波动风险。
@MMerrino569447 100% $NBIS 可能是上行空间最大的投资组合，哈哈。话虽如此，拥有一些更稳健的复利增长股如 $AVGO 或 $TSM 来追踪更广泛的板块增长是很好的，这样你就不会像最近那样因波动（30-40%的下跌和上涨）而感到过于恐慌。
原推 ↗英文原文
@MMerrino569447 100% $NBIS is probably the highest upside portfolio lol. That being said it's nice to have some steadier compounders like $AVGO or $TSM to track the broader sector growth so you don't get too scared on the volatility (30-40% drops and increases) like of recent.
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分析Google TPU v7供应链，建仓Lumentum以博弈TPU生态扩张。
对 $GOOGL TPU v7 Ironwood 供应商的分析。 以下是受 Google TPU 建设影响最大的公司列表。 + 我正在建仓的 TPU 相关股票。 [关键] 设计/IP： - 博通 [ $AVGO ]：共同设计并实现 Google 的 TPU ASIC（专用集成电路） [关键/高] 半导体晶圆代工： - #1 台湾半导体 [ $TSM ]：TPUv7 在 TSMC 3nm 工艺制造 - #2 三星电子：次要存储及晶圆代工合作伙伴 [关键/高] 存储： - #1 SK 海力士：为 TPUv7 Ironwood 提供 HBM3E - #2 三星电子：~TPUv7 特定报告强调 SK 海力士 + 三星。 [高] 光网络： - Lumentum [ $LITE ]：Google 广泛使用光电路交换 (OCS) - Coherent [ $COHR ]：OCS 参与者但较弱 [高] 电源管理 IC： - Monolithic [ $MPWR ]：这是一个投机性观点，即 Vicor 将被 $MPWR 取代，源自财报中提及 TPU [中] 热管理： - Vertiv [ $VRT ]：Vertiv 供应作为液冷系统核心的 CDU（冷却分配单元），将冷却液泵送至 TPU 芯片的冷板 - Modine [ $MOD ]：更投机性地认为他们提供大型冷水机组和空气处理单元 (AHU) [中] 互连： - TTM Technologies [ $TTMI ]，$ANET，Unimicron，Ibiden ______ Google TPU v7 “Ironwood” 的建设代表了一个旨在打破 $NVDA GPU 垄断的平行硅生态系统的构建。 实质性影响最集中在博通（作为硅架构师和商业载体）、存储综合体（SK 海力士/三星）以及光网络/电源领域（Lumentum/Vertiv），这是基于公开证据创建的，但很大程度上取决于采用率、供应商份额和竞争反应的实际表现。 从这项供应链研究中，我正在 $LITE 建立新头寸，以防 TPU 成为推理领域的主导 ASIC。 Lumentum 是 Google 致力于 OCS 的主要受益者，并构成了 TPU 吊舱中使用的 “Apollo” OCS 交换机的核心。 TPU v7 集群的爬坡直接转化为 Lumentum 光开关模块的出货量。由于 OCS 是 Google 超大规模方法独有的定制架构，Lumentum 在此处面临的 commoditization（商品化）压力小于标准收发器市场。 然而，如果 Anthropic、Meta、Apple 和其他公司购买 $GOOGL ASIC 导致 TPU v7 规模扩大，该供应链中的所有公司都将受益。
原推 ↗英文原文
Analysis of the $GOOGL TPU v7 Ironwood Suppliers. Here's the list of what comapnies are the most materially impacted by the Google's TPU buildout. + the TPU stock I'm taking a position on. [Critical] Design/IP: - Broadcom [ $AVGO ]: co-designs and implements Google’s TPU ASICs [Critical/High] Semiconductor Fab: - #1 Taiwan Semi [ $TSM ]: TPUv7 is fabbed at TSMC 3nm - #2 Samsung Electronics: Secondary memory & foundry partner [Critical/High] Memory: - #1 SK Hynix: HBM3E for TPUv7 Ironwood - #2 Samsung Electronics: ~TPUv7-specific reporting emphasizes SK hynix + Samsung. [High] Optical Networking: - Lumentum [ $LITE ]: Google uses extensively uses Optical Circuit Switching (OCS) - Coherent [ $COHR ]: OCS player but weaker [High] Power Management ICs: - Monolithic [ $MPWR ]: This is speculative that Vicor will be replaced by $MPWR, from earnings mentioning TPU [Medium] Thermal Management: - Vertiv [ $VRT ]: Vertiv supplies the CDUs that act as the heart of the liquid cooling system, pumping coolant to the cold plates on the TPU chips - Modine [ $MOD ]: More speculative that they provide provides the massive chillers and air handling units (AHUs) [Medium] Interconnects: - TTM Technologies [ $TTMI ], $ANET, Unimicron, Ibiden ______ The buildout of the Google TPU v7 "Ironwood" represents the construction of a parallel silicon ecosystem designed to break the monopoly of $NVDA GPU. The material impact is most concentrated in Broadcom (as the silicon architect and commercial vehicle), the Memory Complex (SK Hynix/Samsung), and the Optical/Power sectors (Lumentum/Vertiv) and was created from public evidence but is largely dependent on adoption, vendor shares, and competitive responses actually play out. From this supply chain research, I'm initiating a new position in $LITE, in the event the TPU becomes the dominant ASIC for inference. Lumentum is primary beneficiary of Google’s commitment to OCS and form the core of the "Apollo" OCS switches used in TPU pods. The ramping of TPU v7 clusters translates directly to unit volume for Lumentum’s optical switch modules. And because OCS is a bespoke architecture unique to Google’s hyperscale approach, Lumentum faces less commoditization pressure here than in the standard transceiver market. However all companies in this supply chain are set to benefit if the TPU v7 scales up from Anthropic, Meta, Apple, and others buying the $GOOGL ASIC.
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英伟达虽面临谷歌TPU等定制芯片竞争，但中期统治力稳固，逢低买入。
英伟达($NVDA)公布的2026财年Q3营收为570.1亿美元(+62.5% YoY)，表现强劲。并指引Q4营收超650亿美元(超预期30亿美元+)，以及通过CY 2026年Blackwell/Rubin系列营收超5000亿美元。尽管如此，股价仍下跌12%。现在$NVDA是强力买入吗？答案如下： $GOOGL的TPU项目成为首个对$NVDA GPU构成竞争替代的方案，Anthropic承诺采购超100万颗TPU芯片，Meta据报道正在就数十亿美元的TPU采购进行高级别谈判。沃伦·巴菲特近期也向$GOOGL投资超40亿美元，鉴于伯克希尔对科技股保守的投资立场，这极为罕见。 尽管创下盈利新高，英伟达股价在过去10个交易日中有6天下跌，较10月29日触及5.03万亿美元市值时的历史高点$207.04下跌约12-15%。 分析师反应普遍看多，普遍上调目标价： - Evercore ISI从$261上调至$352 - 美银从$235上调至$275 - 花旗从$220上调至$270 - 高盛从$240上调至$250 - 摩根士丹利从$220上调至$235 但这里有个价值万亿美元的问题：超大规模客户日益增长的定制硅片威胁是否会削弱英伟达在AI领域的统治地位？ 与主要捕捉英伟达GPU缺货时的溢出需求的$AMD不同，谷歌的TPU项目代表了根本不同的竞争动态。 TPU v7 Ironwood是首款在性能上与Blackwell持平的非英伟达加速器，提供4.6 petaflops的FP8性能（对比B200的4.5 petaflops），配备192GB HBM3e内存。 Ironwood的架构差异化显著。虽然英伟达最大的集群配置为72个GPU(NVL72)，TPU Ironwood可扩展至9,216个芯片组。 客户斩获显著且不断增长： - Anthropic承诺采购超100万颗TPU芯片，价值“数百亿美元”，1GW算力即将上线。 - Meta正在就2026年从谷歌云租赁TPU容量进行高级别谈判，并计划2027年直接采购硬件用于自有数据中心。 - 苹果透露Apple Intelligence基础模型完全在TPU上训练，使用8,192颗TPUv4芯片用于服务器模型。 - Midjourney从GPU转向TPU，推理成本降低65%（从每月200万美元降至70万美元）。 定位微妙。TPU在超大规模推理方面表现出色，在生产级大规模服务中成本性能最高提升4倍（目前）。在训练方面，英伟达优势明显。 对于高度优化的推理任务，TPU架构可能比$NVDA的通用GPU更高效。 然而，我预计下一代英伟达GPU将在许多场景下在推理性能上超越TPU。（类似于LLM之间GPT 5 -> Gemini 3 -> Opus 4.5的迭代超越） 我们看到： 谷歌TPU、AWS Trainium、Meta MTIA、微软Maia和定制超大规模芯片都在扩展，但仍依赖$NVDA。但超大规模客户集体减少对英伟达的依赖，其累积效应是否会削弱英伟达的统治地位？ 答案：不会。至少未来两年统治地位稳固。之后如何纯属猜测。 仅看数据：Q3结果证实公司仍是AI不可或缺的基础设施提供商，5000亿美元的订单积压为2026年提供了极高的可见性。 但市场似乎正在定价3年+后的这种微妙现实：长期面临超大规模客户定制芯片的竞争不确定性。 英伟达产能完全售罄，且很可能在下一代芯片中超越TPU性能（推理性能更高且保持通用性）。但定制硅片威胁和44倍市盈率的估值担忧仍是逆风。 无论如何，鉴于出色的超预期财报和未来两年的订单积压，$NVDA目前因恐惧而下跌，似乎是中期强力逢低买入的机会。 你只需要记住这一点： 只要英伟达仍是AI工作负载的行业首选，且TPU和AMD GPU仅在需求超过英伟达供应时填补空白，它就是强力买入标的。 英伟达订单积压已满，AI需求并未放缓。
原推 ↗英文原文
Nvidia ( $NVDA ) reported a blowout Q3 FY2026 revenue of $57.01 billion (+62.5% YoY). And guided $65B+ Q4 ($3B+ beat), and $500B+ USD in Blackwell/Rubin rev through CY 2026. Despite that, the stock dropped 12%. Is $NVDA a strong buy now? Here's the answer: $GOOGL TPU's program emerged as the first competitive alternative to $NVDA GPUs, with Anthropic committing to over 1 million TPU chips and Meta reportedly in advanced negotiations for billions in TPU purchases. Warren Buffet also recently invested $4B+ into $GOOGL, which is extraordinarily rare given Berkshire's conservative stance to tech investments. Despite a record earnings beat, Nvidia's stock has declined in six of the last ten trading sessions and sits roughly 12-15% below its October 29 all-time high of $207.04, when it briefly touched a $5.03 trillion market cap. Analyst reaction was overwhelmingly bullish, with price targets raised across the board: - Evercore ISI raised to $352 from $261 - Bank of America raised to $275 from $235 - Citigroup raised to $270 from $220 - Goldman Sachs raised to $250 from $240 - Morgan Stanley raised to $235 from $220 But here's the trillion dollar question: will the emerging custom silicon threat from hyperscalers reduce NVIDIA dominance in AI? Unlike $AMD, which primarily captures overflow demand when NVIDIA GPUs are unavailable, Google's TPU program represents a fundamentally different competitive dynamic. TPU v7 Ironwood is the first non-NVIDIA accelerator that achieves performance parity with Blackwell, delivering 4.6 petaflops of FP8 performance (versus B200's 4.5 petaflops) with 192GB HBM3e memory. Ironwood's architectural differentiation is substantial. While NVIDIA's largest cluster configuration is 72 GPUs (NVL72), TPU Ironwood scleaes to 9,216 chip pods. The customer wins are significant and growing: - Anthropic committed to over 1 million TPU chips worth "tens of billions of dollars," with 1 gw of compute capacity coming online. - Meta is in advanced negotiations to rent TPU capacity from Google Cloud in 2026, with direct hardware purchases for its own data centers planned for 2027. - Apple revealed that Apple Intelligence foundation models were trained entirely on TPUs using 8,192 TPUv4 chips for server models - Midjourney switched from GPUs to TPUs and reduced inference costs by 65% (from $2M to $700K monthly) The positioning is nuanced. TPUs excel at hyperscale inference with up to 4x better cost-performance for production serving at scale (for now). For training, NVIDIA is the clear advantage. For highly optimized inference tasks, TPU architecture might remain more efficient than $NVDA's general-purpose GPU. However, I'm expecting next-gen Nvidia GPUs to leapfrog TPUs for inference in many scenarios. (similar to how LLMs leapfrog each other GPT 5 -> Gemini 3 -> Opus 4.5) We're seeing: Google TPU, AWS Trainium, Meta MTIA, Microsoft Maia, and custom hyperscaler chips scale up to reliance on $NVDA. But will the cumulative effect on hyperscalers collectively reducing Nvidia's dominance? The answer: No. Not yet. Dominance is secured at least for the next two years. What happens after is only speculation. Just looking at the numbers: Q3 results confirm the company remains the essential infrastructure provider for AI, with a $500 billion order backlog providing exceptional visibility through 2026. But the market appears to be pricing in this nuanced reality 3 years+ from now: long-term competitive uncertainty with custom hyperscaler chips. Nvidia is completely sold out of capacity, and are likely to leapfrog TPU performance in their next generation chips (higher performance for inference while being general purpose). But the custom silicon threat and valuation concerns at 44x earnings remains a headwind. Regardless, $NVDA seems to be a strong mid term dip-buy now on fears, given the exceptional blowout earnings and backlog for the next 2 years. This is the only thing you need to remember: NVIDIA is a strong buy as long as it remains the industry’s first choice for AI workloads, with TPUs and AMD GPUs filling gaps when demand exceeds NVIDIA’s supply. Nvidia is maxed out on backlog, and AI demand is not slowing down.
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列举AI领域资本支出加速增长的10大证据，强调AI赛道持续高景气度与投资机遇
对于AI领域的任何人来说，很难不看好。 资本支出正在加速增长，而且是以指数级的速度。 直接流向以下几个方面： 新云服务商：$CIFR、$NBIS、$WULF、$IREN， 连接性：$ALAB、$CRDO、$CLS， 能源：$VST、$FLNC、$TE、$EOS， 半导体/晶圆厂：$NVDA、$AMD、$GOOGL、$TSM， 存储：$SNDK、$MU和$STX。 仅在过去几周，我们就看到： 1. AI曼哈顿计划——美国政府正给予顶级模型访问专有实验室数据的权限以加速研究。 2. $GOOGL在德克萨斯州投资400亿美元建设数据中心。 3. Anthropic投资500亿美元建设边缘计算基础设施以支持其Opus 4.5+模型。 4. $TSM公布创纪录的远期收入数据（AI支出）。 5. $NVDA确认创纪录的远期收入数据（AI支出，锁定2年产量）。 6. $META将2025年数据中心/AI资本支出提升至400-450亿美元，用于llama5-6。 7. 今年三次降息以加速增长并降低融资成本。 8. Dominion Energy警告AI数据中心带来大规模电力负荷激增。 9. $AVGO表示AI网络订单达到前所未有的规模。 10. 阿联酋和主权国家推进AI发展。 我们没有看到任何放缓。只有创纪录的增长。 事实上，随着Claude Opus 4.5、Gemini 3的最新模型进展，以及美国政府的新承诺，感觉我们才刚刚看到人工智能新前沿的冰山一角。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: Nebius [$NBIS]是当前被低估最多的成长型公司。 它有潜力以210亿美元的市值成为下一个$GOOGL。原因很简单： 它的投资组合公司令人惊叹。 这个概念最令人难以置信的例子是$FTX公司。以下是故事： 当我们观察$META如何增长成为万亿美元公司时，不仅仅是Facebook。他们的投资组合公司Instagram、Whatsapp和其他应用使Meta主导了社交媒体领域。 $FTX在数字资产和前沿技术领域做着类似的事情。 四年前，即2021年，$FTX向一个大资产篮子投资了58亿美元。其中很大一部分投入了这三家核心公司： 1. Anthropic，持股13.56%，估值25亿美元。 2. Robinhood [$HOOD]，持股7.6%，估值85.4亿美元。 3. Solana [$SOL]，4100万+代币。 快进到今天，那将是： · Anthropic最新一轮估值3500亿美元。那部分股份价值约474亿美元。 · Robinhood现在市值超过1000亿美元。那部分股份价值约76亿美元。 · Solana现在每个代币价值131.5美元，使那部分股份远超57亿美元。 仅这三家公司就在4年内产生了超过550亿美元的价值，这甚至还不包括FTX的数百亿美元加上其他数十项投资，以及Chime、Layerzero、Aptos、Hidden Road（被$COIN收购）和加密货币的持股。 他们的投资组合公司比他们的核心业务更持久（想象一下，如果核心业务像$GOOGL搜索和YouTube一样持续增长，那将价值多少）。 $NBIS现在有着与$FTX在加密领域、$META在社交媒体领域相同的布局，但在人工智能领域拥有合法且飞速增长的核心业务。 Nebius拥有： 1. Clickhouse，28%持股，估值约70亿美元（2025年上半年为63亿美元）。 2. Avride，83%持股，估值约60亿美元（优步融资后）。 3. Toloka AI，约65%持股，估值约6.4亿美元。 4. TripleTen，100%持股，估值约3亿美元。 · Clickhouse为Anthropic、$META、$TSLA、$NET和许多财富500强公司提供支持。 · Avride是一家自动驾驶出租车机器人公司，从Yandex分拆出来，$UBER在3.75亿美元融资轮中投资以与Waymo竞争。 · Toloka是一个AI标注平台，亚马逊、微软、Anthropic和Shopify都在使用。 19.6亿美元+49.6亿美元+4.16亿美元+3亿美元=76亿美元的投资组合公司估值，这些公司的增长速度超过大多数公开成长型公司。 但如果我们看看他们以每年700%+的速度增长至70-90亿美元ARR的核心业务，拥有48亿美元现金，为$META、$MSFT、Cursor、政府和更多客户提供支持…… 这可能是它以低于90美元的最后一个月，因为今天MSCI纳入将为其带来从数亿美元到低数十亿美元的额外资金流入。如果我们看看$IREN或$CIFR等热门选择，没有任何其他数据中心成长型公司有这种类型的投资组合。 $NBIS估值仅210亿美元，市场正在忽视这个机会。
原推 ↗英文原文
It’s hard for anyone in the AI space not to be bullish. Capex is ramping up. Exponentially. And flowing directly down to: Neoclouds: $CIFR, $NBIS, $WULF, $IREN, Connectivity: $ALAB, $CRDO, $CLS. Energy: $VST, $FLNC, $TE, $EOSe Semi/foundries: $NVDA, $AMD, $GOOGL, $TSM Memory: $SNDK, $MU, and $STX In the past few weeks alone, we got: 1. Manhattan Project for AI - US government is giving top models access to propriety labs data for accelerating research 2. $GOOGL spending $40 on DC buildout in Texas 3. Anthropic spending $50 on EC buildout to support their Opus 4.5+ models 4. $TSM confining record forward revenue numbers (AI spend) 5. $NVDA confirming record forward revenue numbers (AI spend, 2Y production locked in) 6. $META upping 2025 DC/AI capex spend to $40-$45B for llama5-6 7. 3x rate cut this year to accelerate growth and make funding cheaper. 8. Dominion Energy warning of massive AI power load surge from AI datacenters 9. $AVGO signaling AI networking orders at unprecedented scale 10. UAE and sovereign countries pushing into AI We’re not seeing any slowdown. Only record growth. In fact, with the recent model developments from Claude Opus 4.5, Gemini 3, and now new commitment from the US government, it feels like we're just seeing the tip of the new frontier for Artificial Intelligence.
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反驳AI算力溢出消失论，强调结构性增长及电网瓶颈。
既然有人@我，我不同意你作为TAM（总可寻址市场）基础的根本假设，但你的观点有合理之处。 AI算力增长实际上是一个结构性市场，目前正因前沿大语言模型(LLM)的使用而呈指数级增长，并将随着应用AI（机器人等）继续增长。暗示MSFT/Google的5-10年合同确认的使用量“溢出”（临时流动性）会消失是误导性的。 如果你想改述为Neoclouds目前捕获的溢出在超大规模云厂商完成建设后可能不存在，我同意。5-10年后我会更担心（在GCP 10年合同和Azure 5年合同结束后）。特别是当$AVGO与超大规模云厂商的定制ASIC、TPU/Tranium等+建设完成后。（作为交易者，我在2年周期内看涨，5年以上则不那么看多）。 第二点是试图对AI建设这样投机性的事物进行TAM的定量建模是错误的研究方法。 此外，10-15%的数据过于悲观，因为它忽略了如果AI算力是增长的结构性市场，超大规模云厂商的重复溢出。但你基于电网容量会跟上的假设，我不同意，这没问题。
原推 ↗英文原文
Since someone pinged me, I disagree on your fundamental assumption that you're basing TAM off of, but valid points. AI compute growth is actually a structural market that's growing exponentially right now fro new frontier model LLM usage, and will continue to grow from applied AI applications (robotics, etc). Implying MSFT/Google's 5-10 year contracts confirmed usage contracts "overflow" that will vanish (temporary liquidity) is misleading. If you wanted to reword it in saying the overflow that Neoclouds captured now might not exist after hyperscalers complete their buildout, sure. I'd agree with you, next 5Y-10Y out I'd be more worried (after GCP 10y contracts end of Azure 5Y contracts end). Especially when $AVGO x Hyperscaler custom asics, TPUs/Tranium, etc + buildout gets complete. (As a trader I'm bullish on a 2 year timeframe, not so much 5Y+ plus). Second thing is trying to quantitatively model TAM of something so speculative such as AI buildout is the wrong way to approach it. On top of that, the 10-15% figure is overly pessimistic because it ignores repeat-overflow from hyperscalers if AI compute is a growing structural market. But you're going off the assumption grid capacity will catch up, which I disagree, and that's fine.
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博主发布降息周交易清单，强烈看好TSM及Neocloud板块，建议做多。
10月20日，重要的降息交易周。 个人想法和解释： 🛝 = 波段交易(Swing Trade) 🐈 = 催化剂交易(Catalyst Trade) 🎇 = 2026年交易，已进行税务收割(Tax Harvested) 清仓卖出(Fire Sale) 🔥 $NBIS 强烈买入(Strong Buy) $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 买入(Buy) $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU （跳过“持有”，因为我过去提到的其他股票，既然没有变化，大概就继续持有）。 卖出(Sell) $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ 宏观方面，距离降息（约97%概率）还有9天。市场处于恐惧模式。这是建立多头头寸且不减仓的理想时机。 清仓卖出 _ $NBIS - 无需多言，我仍维持2026年牛市情景下$400的目标价，基于40-60亿美元+的前瞻性收入及约60-75%的毛利率，以及另一份可能的超大规模云厂商合同（如 $META）。 周五下跌10%+是机械式对冲和做市商(MM)钉住价格所致。尽管波动剧烈，价格仍卡在$113.5。预计周一空头对冲将平仓（鉴于做市商买入看跌期权并做空看涨期权 -> 临近到期时大量做空），价格将回升。我在下跌时买入六位数的看涨期权，因为基本面没有实质性变化。 强烈买入 TSM - 天哪，请务必将其纳入投资组合。这是一台印钞机，每年营收增长38-40%的同时毛利率还在提升，简直不可思议。财报大超预期后股价回调，这是我生命中最容易的多头机会之一。 AMKR - 我尚未持有，但计划因TSM在亚利桑那州的参与以及其作为美国供应链大伙伴的潜力而加仓（随着美国推动TSM向美国晶圆厂+制造转移）。 WLAC - Neocloud SPAC IPO，上行空间巨大。我最近常提到这个，它可能是估值最好的Neocloud之一，且已有不错的利润率（并非来自矿工转型，后者不确定性稍大）。他们与Fluidstack合作，我预计若获得Mag7合同，估值将重估500%+。 AMZN - $213太离谱了哈哈。我不明白在牛市中它为何年初至今下跌-3%。 LTC - 受加密货币清算和政府停摆延迟ETF影响。现在是买入并等待ETF获批的好时机。 RDDT - 跌至$190是很好的回调。我以为$200是底部，结果跌得更低。关于ChatGPT较少引用它的新闻引发了大幅抛售，我认为这影响甚微。 HIMS - CEO减持导致下跌14%+。所有者经常卖股，对公司基本面影响不大，仅影响短期情绪。预计会反弹。 IBIT - 比特币$108k是很好的入场点，它已在$110k-$120k之间震荡一段时间，低于此价位通常很好。 ALAB - 上次我说过，因新竞争对手新闻而抛售过度。它已在市场上与AVGO竞争哈哈，拥有类似NVDA的利润率，同比增长数百%，Mag7在数据中心建设中正在使用它。 CRDO - 逻辑与ALAB类似，随Astera抛售但幅度稍小。 SMCI - 应因明年55%+的营收增长而重估。我早先怀疑这些预测，但随着数据中心增长，看起来变得现实了。 FLY - 这是中程有效载荷的博弈。人们怀疑Fly的执行能力，但NOC联合开发中程载荷消除了很多风险（并在与Falcon9竞争时可能重估500%+）。 SNAP - 我在早期的深度研究(DD)帖子中计算过Snap记忆功能的变现能力，目前完全未定价。它季度营收$13亿+，市值仅$130亿哈哈，通过增加营收+降低Google OPEX成本获得的自由现金流(FCF)非常惊人。 ETOR - 大部分为现金，以IBKR的速度增长，受税务收割影响。 LULU - 受税务收割+Alo、Vuori等竞争影响。但季节性应该不错，且现在市盈率极低。 买入 AMD - ChatGPT下AMD订单，ORCL建设AMD数据中心。随着成为$NVDA潜在竞争对手，预计明年将重估。仍认为Nvidia将主导，但鉴于其4.5T市值，即使AMD只占一小部分份额，也有很大追赶空间。 HOOD - 10%+回调后看起来好多了。可能复刻PLTR的走势。 RBRK - 之前做过深度研究，作为网络安全公司，在下跌中看起来更好，该领域倍数极低。只需削减营销，客户粘性高。 UNH - 美国医疗很烂但不会消失。认为Warren等人知道这一点。 TGT 🐈 - 下月分红，大股息股票。我认为现在是大量建仓的好时机。 IREN 🐈 - 巨大的GW，预计获得Mag7或类似交易。 WYFI - 任何Neocloud都是买入（例如见关于Mag7将收入导向这些小型10亿-50亿公司的论点）。 WULF - Neocloud博弈 CIFR - Neocloud博弈 SLNH - Neocloud博弈 BITF - Neocloud博弈 GLXY - Neocloud衍生品博弈 FLNC - Neocloud能源博弈 MU - 中国风险解除，内存在那里有巨大市场，内存也可能在数据中心建设中重估。 _ 卖出 ETH - 不喜欢$4k+的以太坊 BMNR - 如果我不喜欢这些水平的以太坊，持有国库公司也没意义 PL - 低营收，太空股（极高估值） BLSKY - 低营收，太空股（极高估值） RGTI - 量子泡沫 OKLO - 核能泡沫 IONQ - 量子泡沫 QBTS - 量子泡沫 _ 快速宏观提示： -> 9天后降息，概率~97%。预期抢跑，做多。就这些。
原推 ↗英文原文
October 20th, Important Rate Cut Trading Week. Personal thoughts and explanations: 🛝 = Swing Trade 🐈 = Catalyst Trade 🎇 = 2026 Trade, Tax Harvested Fire Sale 🔥 $NBIS Strong Buy $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 Buy $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU (Skipping Hold, since any other stock I've mentioned in the past, it probably just hold it since nothing's changed). Sell $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ So macro wise, we are 9 days away from (~97% or so rate cut). Market is in fear mode. This is the ideal time to go long and not cut positions. Fire Sale _ $NBIS - Needs no explanation, I still maintain $400 PT on a bull case 2026 due to 4-6B+ forward revenue off ~60-75% gross margins, and another likely hyperscaler contract (eg. $META) What happened on the 10%+ drop on Friday was mechanical hedging and MM Pinning. You can see this with the price stuck at $113.5, despite any volatility. I'd expect short hedges to unwind Monday (given MMs bought puts and were short calls -> heavy short into expiration) and price to go back up. I ended up buying 6 figures worth of calls on the drop as there was no material changes. Strong Buy TSM - Holy crap, please have this in your portfolio. This is a money printer, and scaling your revenue by 38-40% every year WHILE increasing gross margins is just insane. It dipped as well after smashing earnings so it's one of the easiest longs in my life. AMKR - I don't have this in my portfolio yet but will be looking to add due to TSM's involvement in Arizona and potential to be a big partner in the US supply chain (as America tries to push TSM toward US fab + manufacturing). WLAC - Neocloud SPAC IPO, large upside. I talk about this a lot recently, but it's probably one of the best valued Neoclouds out there, and already has great profit margins (not a pivot from miners, where it's a bit more uncertain). They work with Fluidstack, and I'd expect a 500%+ re-rating on top of a Mag7 contract. AMZN - $213 is insane lol. I have no clue how this is down -3% YTD during a bull market. LTC - Affected by crypto liquidations and government shutdown delaying ETFs. Great time to buy and just wait for ETF to be approved. RDDT - Great dip to $190. I thought $200 would be a bottom but ended up going lower. The news about ChatGPT citing it less caused a large sell-off which I think was very immaterial. HIMS - 14%+ drop off CEO share sale. Owners sell shares all the time, it doesn't really affect the fundamentals of the company much, just short term sentiment. I'd expect it to rebound. IBIT - Bitcoin $108k great entry point, it's been swinging between $110k - $120k for awhile so anything under is usually great. ALAB - I said this last time but it sold off way too much from news of a new competitor. It's already competing vs AVGO in the market lol, NVDA-like margins, growing hundreds of percent Y/Y, Mag7 using them in data center buildout. CRDO - Similar thesis to ALAB, sold off alongside Astera but a bit less. SMCI - Should get re-rated for 55%+ or so revenue growth into next year. I doubted the projections earlier but with the data center growth, it's looking realistic. FLY - This was a medium lift payload play. People doubt fly's execution but NOC co-developing medium lift takes a lot of risk off the table (and possible re-rating it 500%+ when it competes vs falcon9) SNAP - Did the math on Snap monetization of memories in an earlier DD post and it's completely not priced in yet. It's doing $1.3B+ quarterly revenue on a $13B market cap lol, and the amount FCF they would get from increasing their revenue + lowering Google OPEX costs is insane. ETOR - Majority cash, growing at IBKR rates, suffering from tax harvesting LULU - Suffering from tax harvesting + competition from Alo, Vuori, etc. But seasonally should be good, and extremely low p/e now. Buy AMD - ChatGPT putting in AMD orders, ORCL building out AMD data centers. Likely going to get a re-rating in the next year as a potential $NVDA competitor. Still think Nvidia will dominate but with it's 4.5T marketcap, AMD has a lot to catch up on even if it takes a small percent share. HOOD - Looking at a lot better after the 10%+ correction. Could pull a PLTR RBRK - Did DD on this earlier, looks better on the drop as a cybersecurity company really low multiples in the space. Just needs to cut back on marketing, customers sticky. UNH - Healthcare is sht in America but not going anywhere. Think Warren and the others know this TGT 🐈 - Dividend next moth, big dividend stock. Around now is a good time to load up IMO IREN 🐈 - Huge GW, expect mag7 or similar deal. WYFI - Any neocloud is a buy (eg. see thesis on mag7 funneling revenue down toward these small 1B-5B companies) WULF - neocloud play CIFR - neocloud play SLNH - neocloud play BITF - neocloud play GLXY - neocloud derivative play FLNC - neocloud energy play MU - China derisked, memory had a huge market there, memory also likely going to get re-rating in tdata center buildout _ Sell ETH - Not a fan of Ethereum at $4k+ BMNR - If I don't like Ethereum at these levels, no point of holding treasury companies PL - Low revenue, space stock (extremely high valuation) BLSKY -Low revenue, space stock (extremely high valuation) RGTI - Quantum bubble OKLO - Nuclear bubble IONQ -Quantum bubble QBTS - Quantum bubble _ Quick macro heads up: -> Rate cut in 9 days ~97% odds. Frontrunning expected, go long. That's all.
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博主基于宏观利好更新美股AI/半导体/能源等板块的强烈买入、买入及持有名单。
大豆/植物油崩盘，个人思考与解释： 强烈买入 $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC （+ 同上次税务收割股） $AMZN $SMCI _ 买入 $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH 持有 $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS （已达推文股票代码上限，其余同上次帖子，Quantum或Oklo仍建议卖出） _ 强烈买入 ALAB - 数据中心建设的重要组成部分，拥有类似英伟达(NVDA)的利润率，客户包括Mag7。已有来自博通(AVGO)的竞争者，真的不认为Arista会构成竞争威胁。 CRDO - 与ALAB同样的抛售，之前觉得两者都略有高估，但现在回到修正区间，适合补仓。 NBIS - $400目标价牛市情景。宏观顺风来自政府重新开放+10月底降息预期进入财报季，短期前景看好。利好众多（如Meta x CRWV，因此有更多Mag7客户的潜力），分部表现良好，例如Clickhouse，季度收入从$1亿扩展到$15亿+非常惊人。合同已锁定，只是公司执行的问题。 WLAC - 之前在$13时写过投资逻辑。即使在$14.5也很强，因为它可以轻松重估100%+。 LTC - 受杠杆交易者和政府停摆影响。预计停摆将持续一段时间，主要买入理由是ETF获批。但无论如何，低于$100都是很好的买入点，因为最终会获批（~95%概率）。 TSM - 天哪。如果是美国公司这将是$3万亿市值的公司，利润率惊人，对于其规模而言增长率惊人。每篇关于OpenAI X (**Sydney Sweeney合作)或AMD建设/NVDA建设的帖子中，TSM都是核心，即使以历史高点买入，也轻松成为$2万亿+公司（目前约$1.5万亿）。 BTC - $112K是好的入场点。黄金不断创历史新高，基本面没什么变化，只是最近大量清算。 （+ 同上次税务收割股） AMZN - 我真不知道为什么年初至今还在跌。我觉得亚马逊不需要太多解释，但仍在增长（例如AWS积压订单巨大，仍增长24%，当然不如ORCL、GCP等），但考虑到年底季节性和2月前的上涨，现在可能是抄底的最佳时机。AMZN今天触及$213-215是补仓的好机会，因为短期波段交易通常浮动在$218-$227，但长期我预计它会追赶其他Mag7。 SMCI - 被低估。市场关注短期表现，Charles引用的55%+同比前瞻收入增长无人相信+未实现的积压订单。但现在随着所有数据中心建设，这开始说得通了。因此应在接下来两次财报中重估。 _ 买入 AMD - OpenAI x AMD，Oracle使用AMD建设，这么多交易，如果它确实是$NVDA的强劲竞争对手，将重估为潜在$1万亿+公司。我不认为赢家通吃，可以看到$NVDA $4.5万亿+市值和$AMD $3500亿市值，所以我们可以看到大幅拉升（OpenAI通常是前沿模型领导者，如果Sam说他们可以使用AMD芯片+Elon说它对中小模型有益，可能意味着积极信号） FLNC - AI消耗后能源强劲重估，很好的买入。 SEI - AI消耗后能源强劲重估，很好的买入。 BZAI - 别人做过这家公司的深度研究，仅因板块和向边缘计算转移（例如机器人将很热）。由于低市值和类似公司的上涨可能表现良好。 NKLR - 像$OKLO这样的核能股已经起飞，这只是跟随梯队。 IREN - 无需介绍，巨大的GW算力，只是还没有宣布Mag7交易，但随时可能到来 -> 强劲重估。不是强烈买入的唯一原因是因为不完全确信矿工能像CRWV那样转型并保持高利润率（例如$ORCL打击文章），但我们会看到。 WULF - GOOGL积压订单，另外$3.6+亿左右的资金帮助很大。 CIFR - X上有很多关于未来产能和强劲重估的信息。一直喜欢这家公司，因为它是NBIS-lite。你可以买任何Neocloud，因为板块潜力巨大，Mag7将收入注入。 CRWV - 因为债务不像其他人那样喜欢，但由于植物油修正，$134（低于META交易宣布时）是更好的买入点 BITF - Neocloud类别相同 WYFI - Neocloud类别相同 BITF - Neocloud类别相同 GLXY - Neocloud类别相同，有助于其建设 RBRK - 做过深度研究，中期网络安全板块很好的买入，他们只需缩减营销，然后看起来有更多自由现金流，因为他们将大部分运营支出花在营销上。 GRAB - 基本面很好，-6.56%修正再次买入 SEA - 东南亚的AMZN，很多人使用。仅因客户群+变现潜力就买入。基本面$50亿+收入38% Y/Y增长也很好。 META - 我真的很不喜欢他们在AI上的昂贵资本支出，因为他们并没有像ChatGPT那样推出前沿模型，谁知道Zuck在做什么。但除此之外，一个月下跌7.3%，回到$700支撑位，可能在这里买入以追赶是个好主意。 TGT - 下个月股息是好的催化剂。 SNAP - Jenners回来了（有助于人气），他们将前记忆运营支出转为收入，这可能会导致明年巨大的重估。只是受税务收割影响，否则现在会是强烈买入。通常税务收割事件在12月完成。 MU - 现在中国恐惧稍微减弱，MU因为建设中的内存使用而成为更强的买入。 RKLB - 中子，金色穹顶合同，很多催化剂 FLY - 中等提升 UNH - 不受大豆影响的医疗保健股，但有修正。机构发布持仓后可能会上涨（例如Warren可能买了更多） 随机想法 基本上任何不是Oklo的成长/风险股都很好，因为我们有 -> 10月底降息 -> 政府重新开放（可能在10月底或11月初） 进入 -> 12月降息。 -> 中期选举（对股票看涨） 通常市场崩盘发生在紧缩而非宽松时。你的愚蠢量子泡沫可能会再持续3-12个月。如果你做空，可能等到明年2月。 无论如何，这是风险偏好的好时机，特别是搭乘Neoclouds -> 相关板块（例如能源）-> 相关公司（例如smci, tsm等）的趋势。 我半开玩笑地说大豆，因为它可能签署了升级紧张局势，但我可能会看到明年前的上涨。另外我可以写很多关于每一个的内容，但这很耗时，但我会不时发布关于随机股票如$RBRK的投资逻辑帖子。 太空/机器人/能源/量子/AI/半导体/关键垂直领域是目前最顶级的，不要对抗动量。我可以认为某些东西被高估了（例如一些关键材料，因为与Neoclouds相比仍然具有投机性，后者基于Mag7的执行有保证的收入），但我不会在降息时做空它。 只是个人想法，非财务建议
原推 ↗英文原文
The Great Soybean/Seed Oil Crash, personal thoughts and explanations: Strong Buy $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC (+ same as tax harvest stocks last time) $AMZN $SMCI _ Buy $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH Hold $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS (Hit the ticker maximum but everything else from last post, still sell on Quantum or Oklo) _ Strong Buys ALAB - Huge part of datacenter buildout, NVDA like margins, Mag7 customers. Already had competitors from AVGO, really don't think Arista would be a competitive threat. CRDO - Same sell-off as ALAB, thought they were both kind of overvalued before, but now they're back in correction territory so good to stock up. NBIS - $400 PT bull case. We have macro tailwind from government re-opening + rate cut EOM october into earnings, so short term looks promising. Lot of things going for it (eg. meta x crwv, so there's potential for more mag7 clients), sum of parts doing well, eg. clickhouse, and scaling rev from $100m to $1.5B+ a quarter is insane. there's already contracts locked in its just a matter of company execution. WLAC - Wrote a thesis about this earlier at $13. Even at $14.5 strong because it can re-rate 100%+ easily. LTC - Affected by leverage traders and government shutdown. The shutdown is predicted to last awhile and the main reason to buy was the ETF getting approved. But a great buy sub <$100 anyway, because it will get approved in due time (~95% chance). TSM - Holy crap. This would be a $3T company if this were a US company, insane profit margins, insane growth rate for their size. And every post you see about OpenAi X (**sydney sweeney partnership) or AMD buildout/NVDA buildout. TSM is the center of it all and would easily be a $2T+ company (from here at ~$1.5T), even if buying at ATHs. BTC - $112K good entry point. Goldt keeps hitting ATH, nothing really changed fundamentally, just lot of liquidations recently (+ same as tax harvest stocks last time) AMZN - I really don't know how it's still down YTD. I don't think Amazon needs much explaining but still growing (eg. AWS backlog massive, still going like 24% but not as much as ORCL, GCP and others obviously), but with EOY seasonality and runup to Feb, now is probably the best chance to catch the bottom. AMZN hitting $213-215 today was a good chance to stock up since it usually floats between $218-$227 if you're short term swing trading but long term I'd expect it to catchup to other mag7. SMCI - Underrated. Markets were looking short term performance, and Charles was quoting like 55%+ Y/Y forward revenue growth which nobody believed + backlog that didnt get realized yet. But now with all the data center buildouts, now it's kinda making sense. So should re-rate in the next two earnings. _ Buy AMD - So many deals from OpenAI x AMD, oracle building out with AMD, this is going to re-rate to a potential $1T+ company if it's actually a strong competitive to $NVDA. I don't think it's winner takes all and you can see a $4.5T+ market cap size with NVDA and some $350B marketcap size with AMD, so we can see a large ramp up (OpenAI is usually the leader in frontier models and if Sam says they can use AMD chips + elon said its' good for small-medium weight models, prboably means something positive) FLNC - Strong re-rate on energy after AI consumption, great buy. SEI - Strong re-rate on energy after AI consumption, great buy. BZAI - Someone else did a DD on this company, just cause of sector and shift to edge compute (eg. Robotics goign to be hot). Because of low MC and runup of similar companies could turn out well. NKLR - Nuclear stocks like $OKLO have been taking off, this is just follow the lader. IREN - Needs no introduction, huge GW compute capacity just no announced mag7 deals yet but could come anytime -> strong re-rate. Only reason not a strong buy is because not fully convinced miners can pivot like CRWV and maintain great margins (eg. $ORCL hit piece) but we'll see. WULF - GOOGL backlog, another $3.6+ or so in funding helps a lot. CIFR - Lot of info on X about future capacity and strong re-rating. Always liked this company because it was NBIS-lite. You can probably buy any Neocloud and it will go up because the sector is incredibly high potential with Mag7 funneling revenue. CRWV - Didn't like this as much as others because of debt but because of the seed oil correction much better buy point at $134 (below when META deal was announced) BITF - Same in Neocloud category WYFI - Same in Neocloud category BITF - Same in Neocloud category GLXY - Same in Neocloud category, helps with their buildout RBRK - Did a DD on this, great buy for cybersecurity sector in mid term, they just need to scale back marketing and then it looks like they have a lot more FCF because they're spending most OPEX on marketing. GRAB - Great fundamentally, -6.56% correction good to buy again SEA - AMZN in SEA, tons of people use them. Just a buy just because of costumer base + monetization potenetial. Fundamentally growing $5B+ rev 38% Y/Y is also great. META - I really don't like all their expensive capex on AI since they're not really putting out fronteir models like ChatGPT with it, who knows what Zuck is doing. But that aside, down 7.3% over the month, going to $700 support, probably a good buy around here to play catchup. TGT - Dividend next month good catalyst. SNAP - The Jenners are coming back (helps with popularity), they're shifting former memory opex to revenue, and this will probably cause a HUGE rerating next year. Just suffers from tax harvesting otherwise would be a strong buy rn. Usually tax harvesting events are kinda done in December. MU - Now that China fears are kinda less intense, MU is a lot stronger buy just cause of memory use on buildout. RKLB - Neutron, golden dome contracts, lot of cataylsts FLY - Medium lift UNH - Healthcare stock not affected by soybeans but had a correction. Would likely go up one instituions post their ports (eg. warren likely bought more) Random thoughts Basically any growth/risk stock that's not named Oklo is great because we have -> Rate Cut end of month October -> Government re-opening sometime (likely around end of Oct or early Nov) Into -> Rate Cut December. -> Midterms (Bullish for stocks) Usually market crashes happen when there's tightening not easing. And your stupid quantum bubbles would likely continue for another 3-12 months afterward. If you're short, then probably wait till next Feb. Anyway, this is a great time for risk-on, and specially riding trends with neoclouds -> affiliated sectors (eg. energy) -> affiliated companies (eg. smci, tsm, etc). I half joke-about soybeans because it likely signed escalating tensions, but I'd probably see a run-up into next year. Also I could write up a lot about each one but it's pretty time consuming but I'll put on a thesis post about random ones eg. $RBRK, from time to time. Space/robotics/energy/quantum/ai/semi/critical top verticals right now, don't fight against momentum. I can think something is overvalued (eg. some critical materials bc. it's still spectulative compared to neoclouds that kinda have guaranteed rev based on execution from mag7) but I wouldn't short it into rate cuts. Just personal thoughts, NFA
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认为ALAB超卖，CRDO随Astera抛售，大豆是佳选
@DanielTan64198 另一家与 $ALAB 竞争的公司（我认为它被超卖了，因为尽管已有 $AVGO 这样的大竞争对手，但大型科技公司仍在采购其产品），$CRDO 随 Astera 一同抛售。另外，大豆也是很好的加仓标的。
原推 ↗英文原文
@DanielTan64198 Another company competing vs $ALAB (think it’s oversold bc they already have big competitors like $AVGO but big tech uses them anyway), $CRDO just sold off with Astera. Also soybeans, both great adds
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分析NBIS、AMZN、SNAP等个股机会，看好AI基建及降息预期。
10月6日周一收盘思考： - $NBIS 是极好的逢低买入机会。早盘上涨5.78%后回落2.38%。从 $IREN 到 $CIFR 的所有其他新云(Neoclouds)公司都守住了4%-14%+的涨幅。Nebius可能受期权资金流影响，预计很快会补涨，我维持 $225 的目标价(PT)。 - $AMZN, $META 是两只在未来2-3个月应跑赢大盘并补涨的七巨头(Mag7)成员。尤其是亚马逊。 - $SNAP, $RDDT 是两个不错的反弹标的。Snapchat尤其因为收入变现模式的改变。如果你有耐心持有股票一两年，我预期会有50%+的回报，只是取决于市场何时将其定价。并非每个人都有耐心，且将资金用于 $SNAP 而非新云(Neoclouds)的机会成本可能不划算。 关于Reddit，我一直认为ChatGPT引用是其暴跌29%的借口，所以我已买入。 - $SPRB 吸引了所有人的注意。我预计它将从7500万美元市值继续上涨至1.5亿-2亿美元，但这就像玩俄罗斯轮盘赌，通常在重大事件后2-3天就会发生稀释。 - 像 $RKLB 这样的股票，只需持有哈哈。即使它是我最高信用的5年期长线标的，也确实高估了，但此时它可能会像 $PLTR 一样表现。 - $AMD 与 OpenAI 的交易对半导体行业极度利好。我预计 $TSM, $ASML, 能源股和新云(Neoclouds)将从AI基础设施建设中受益。主要的负面因素是 $CRWV，因为其对 $NVDA 的依赖，以及显然的NVDA本身，但新云(Neoclouds)并未锁定单一玩家，且已锁定5-10年以上的合同。 这仅对 $NVDA 的护城河理念造成微小影响，但尚无实质性影响。 我个人认为AMD可能会像 $ORCL 一样在反弹后回调，然后当市场开始计入远期收入时，像 $AVGO 一样表现。 话说回来，我不知道OpenAI从哪弄来这么多钱，承诺给Oracle、AMD等这些十亿或百亿美元的交易，如果它们估值只有5000亿的话哈哈。 - 黄金每天创历史新高，仅仅表明 $BTC 始终是好的买入标的，即使在 $123k，如果它最终成为对抗通胀的对冲工具。其市值约为黄金的1/10。 - $LTC 仍然是很好的买入标的，因为ETF获批。由于政府停摆，人们只是忘记了它尚未发生，但最终应该会获批。 - $VIRT 在 $32.5 是极好的买入，我会在这个区间进行成本平均（抱歉如果你在 $36 买了看涨期权，我的仓位下跌了约35%）。但再次强调，这是对VIX的非对称对冲（VIX隐含波动率很高用于对冲，VIRT被低估~6.3倍远期市盈率，有回购和低隐含波动率），所以即使仓位下跌，你的其他股票应该会上涨以平衡。 - 仍在研究其他受益于基础设施建设的能源股、小盘股如 $EOSE、存储如 $MU 等，这些是粉丝推荐的。我尽量不在自己充分了解前谈论太多。 - 如果你使用杠杆或做多，现在是时候了，直到一月。三次降息，市场可能正在提前交易十月的降息。
原推 ↗英文原文
Monday October 6th Market Close Thoughts: - $NBIS extremely good dip buy. Down 2.38% after rising 5.78% in the morning. All other Neoclouds from $IREN to $CIFR held their 4%-14%+ gains. Nebius likely influenced by option flow, should play catchup soon and I stand by $225 PT. - $AMZN, $META two Mag7 that should outperform next 2-3 months and play catchup with the rest. Especially Amazon. - $SNAP, $RDDT two good recovery plays. Snapchat especially because of the revenue monetization changes. If you have the patience for shares for a year or two, I'd expect a 50%+ return, just whenever the market wants to price it in. Not everyone has patience and opportunity cost using the funds in $SNAP instead of Neoclouds might not be worth. Reddit I've maintained that the citations from ChatGPT is a BS reason for a 29% sell-off so I bought into it. - $SPRB caught everyone's attention. I do expect it to keep rising to a $150-$200m marketcap from $75m but it's like playing Russian Roulette, usually dilution happens 2-3 days after a major event. - Stuff like $RKLB, just need to hold lol. It's genuinely overvalued even if it's highest conviction 5Y long but at this point it might pull a $PLTR. - $AMD x OpenAI deal heavily bullish for semi industry. I expected $TSM, $ASML, energy stocks and Neoclouds to get a boost from AI infra buildout. Main negative ones were $CRWV, because of $NVDA dependencies and obviously NVDA, but Neoclouds aren't locked into one player, and they already have 5-10+ year contracts locked in. It just puts a tiny dent in the $NVDA moat idea but nothing material yet. I personally think AMD might pull an $ORCL where it dips past rally, and then ends up pulling an $AVGO when markets start pricing in forward revenue. Then again, I don't know where OpenAI is getting all this money to promise Oracle, AMD, etc. all these ten or hundred billion dollar deals if they're valued at 500B lol. - Gold rallying to ATH every day just signals that $BTC is always a good buy, even at $123k, if it ends up becoming a hedge against inflation. It's close to 1/10th the market-cap. - $LTC still a great buy because of ETF approval. There's the government shutdown so people just forgot it hasn't happened yet, but should get approved eventually. - $VIRT great buy at $32.5, I'd cost average around this range (sorry if you bought calls at $36, my positions are down 35% or so). But again it's an asymmetrical hedge to VIX (VIX IV very high for hedging, VIRT is undervalued ~6.3 forward p/e with buybacks an low IV), so even if positions are down, your other stocks should go up to balance it out. - Still looking into other beneficiaries of buildouts from energy stocks, small caps like $EOSE, memory like $MU, etc. that followers recommended. I try not to talk about something much until I'm informed myself. - If you're on leverage or going long, now is the time to do it until January. 3x rate cut, market probably frontrunning Oct rate cut now.
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分享基于图表的波段交易策略，强调结合基本面与宏观分析的重要性。
我如何用图表进行波段交易，第二部分：短期（几周）+ 短中期（几个月）。 长期部分我会在另一篇帖子中讨论。 例1：$RKLB。仅凭直觉，在$40支撑位买入似乎是个好选择，$54卖出。通常下半部分（虚线）如$44也是不错的买入点，因为风险回报比良好，但你不会买到绝对底部。 你可以对像Rocketlab这样的股票这样做，因为长期来看，如果你持有足够久，即使它跌破$40，鉴于其基本面是强力买入（尽管目前略微高估），它很可能会恢复。 例2：$AMZN - 现在用正股买入是很好的选择。如果它跌破$210，你可以使用LEAPS（长期期权）。例如低于$200时，使用期限较短的看涨期权。 _ 了解基本面、宏观环境以及催化剂是否实质性影响也非常重要。如果未来收入大幅下降或行业利润率压缩，这些线条毫无意义。 很多时候它们因更非理性的因素下跌，例如GOOGL与苹果搜索之争，或者整体市场SPY下跌，但在这些情况下，如果没有实质性差异且公司持续增长，它们通常会再次上涨。再次强调，因人而异，在抄底时机上你需要分析图表以外的更多因素。这只是我所做工作的一部分。
原推 ↗英文原文
How I do swing trading with charts, Part 2: Short term (few week) + Short-Medium Term (few month). I'll do long term ones in another post. Ex 1: $RKLB. Just going off feels on this, seems like a great buy at $40 support, and $54 sell. Usually lower half (dotted line) like $44 is a good buy too cause risk-reward is good but u wont get the actual bottom. You can do it with stuff like Rocketlab since long term if you hold enough, even if it dips past $40 it will likely recover since it's a strong buy fundamentally albeit a tiny overvalued now. Example 2: $AMZN - Great buy with shares now. If it ever dips past $210, you can do leaps. Lower than $200 for example, shorter dated calls. _ Knowing fundamentals, macro, and whether catalysts are material or not is really also important. These lines mean nothing if forward revenue falls a lot or industry margins compresses. Lot of time they drop on more irrational things eg. GOOGL with Apple search, or maybe overall market SPY dipping but in those cases they usually rise up again if there's no difference + company keeps growing. Again different for everyone, you need to analyze more than the charts when timing bottoms. This is just part of what I do.
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通过对比NBIS与CIFR走势，论证基本面改变后图表模式对股价预测的有效性。
我常调侃图表分析，但有时它对基于模式的推理（非技术分析 TA）确实有帮助。 历史不会重演，但相似行业的公司往往押韵。 当基本面发生重大变化时： 例如 $NBIS（64->100->86）与 $CIFR（+32% -> -18% -> 上涨）在 $170亿 MSFT 交易和 GOOGL 30亿交易后的表现。 我们可能会看到 CIFR 在回调后像 NBIS 一样上涨。 它遵循了相同的模式：先上涨 32%，然后下跌 18%，现在它开始像 NBIS 一样攀升。 同样的逻辑也适用于财报后的 AVGO（先回调，然后大幅反弹）和现在的 ORCL（财报亮眼，回调，然后大幅反弹），因为基本面发生了改变。 我想把一些 Reddit 风格的图表分析带到 X 上，但在我看来，这是图表分析真正有用的一次。
原推 ↗英文原文
I make fun of charting but sometimes it's genuinely helpful for pattern based reasoning (not TA). History doesn't repeat itself but it often rhymes for companies in similar sectors. With things material to fundamentals: Eg. $NBIS (64->100->86) vs. $CIFR (+32% into -18% into rise) post $17B MSFT deal and GOOGL 3B deal. We'll likely see CIFR increase like NBIS after the dip. It followed the same pattern where it rose 32%, then dropped 18%, and now it's beginning it's ascent similar to NBIS. Same thing can be said about AVGO post earnings (then dip, then massive rally) and ORCL now (great earnings, dip, then massive rally), because fundamentals changed. Thought I'd bring some Reddit style charting to X but this is one of the times generally when charting helps imo.
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对比博通与台积电，认为台积电作为底层基础更值得投资。
@turnandburn07 $AVGO 在定制超大规模客户专用集成电路(ASIC)领域复刻了英伟达(NVDA)凭借GPU的崛起轨迹。在高位买入总是很难，但有时股价会持续上涨。无论如何，$TSM 是英伟达、博通(AVGO)等公司的基础，所以我更喜欢这只股票，我可能会选择买入TSM而不是AVGO。
原推 ↗英文原文
@turnandburn07 $AVGO mirrors nvda's ascent with GPUs but for custom hyperscaler ASICs. It's always hard to buy things at the top, but sometimes they keep going up. Either way, $TSM serves as the foundation for NVDA, AVGO, etc, so I like the stock the best and I'd prob buy TSM over AVGO
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博主发布周一收盘观点，列出多只美股的买卖评级及具体逻辑。
周一收盘思考： 极强买入 $NBIS $ETOR $LTC $VIRT 买入 $AMZN $SMCI $TGT $CRM $TSM $CRDO $SG $CIFR $LULU $SLNH $ORCL $MSTR $RIOT $MARA 持有 $IREN $HIMS $RKLB $PYPL $MRVL $IBIT $UPWK $GRAB $ALAB $ASTS $SOFI $NVDA $NVO 卖出 $HOOD $TSLA $RDDT $CRCL $PLTR $BMNR 强烈卖出 $OKLO $QBTS $IONQ _ 欢迎持不同意见，但这只是我的个人看法。 极强买入理由 - 买入约7万美元的Virtu看涨期权，隐含波动率28%，远期市盈率仅6.6倍，被低估。 - 在通往200美元的路上，每次回调都定投NBIS。 - ETOR在39美元时严重被低估。我不明白它怎么跌到那的。如果我没记错，市值33亿，现金储备超7亿，复利增长类似IBKR而非HOOD/BULL，但股价却直线跌破IPO价。 - LTC ETF批准在即（3-4天内），概率95%。除非被拒，现在是绝佳买点。 买入理由 - 今天买入5万美元以上Amazon看涨期权，回调至219美元以上后复苏前景看好。受益于10月至1月的年底季节性效应。10月8日Prime Day。可能再次回调，因此适合定投而非极强买入。 - SMCI仍预测55%的远期营收增长，季度营收超50亿，有点被低估。 - TGT下个月分红。有些Target事件，但我觉得不如Amazon Prime Day重要。 - CRM图表上看刚触底，基本面没太大变化。 - TSM在273美元更好，虽然总是好买点，但不像250美元以下那样极具吸引力。 - CRDO/ALAB，两者大幅回调。更像是修正而非崩盘，因此再次成为不错的买点。 - SG，不知道。我只是喜欢他们的沙拉，考虑到不久前交易价40美元，8美元的风险回报比不错。 - CIFR，GOOGL背书，现在看执行。我会逢低买入，但今天大涨了。 - LULU受益于10月至1月的年底季节性假日购物。 - SLNH，据说X上有关于波浪的讨论。市值很小约1亿美元，风险回报比似乎可以。 - ORCL，以140亿美元折扣估值持有TikTok美国大量股份，且来自OpenAI/MSFT的远期营收众多。就像AVGO一样，财报后可能回调，然后一两个月后迎来猛烈反弹。 - MSTR，比特币10月表现良好。被做空，所以溢价率可能在1.4x-1.5x，相比炒作时的2x。 - RIOT/MARA转向HPC，所以我比之前更喜欢它们。 持有股票没什么变化 - Hood，我个人做日内交易，所以如果我认为在单日上涨12.27%的130美元以上卖出是好的，别介意。 - TSLA，脱离基本面的信仰股。 - RDDT，我在100美元时持有大量，现在240美元或450亿市值不会买，所以可能会卖出/三角套利。 - CRCL，直接买Coinbase。 - PLTR，脱离基本面的信仰股，大部分利润只是利息收入。 - BMNR，如果你想买就买ETH，但ETH在4000美元以上也是强烈卖出。 强烈卖出 任何营收极少但市值100-200亿以上的股票我觉得很可笑。如果你从8美元持有OKLO到116美元，向你致敬。
原推 ↗英文原文
Monday Market Close Thoughts: Extremely Strong Buy $NBIS $ETOR $LTC $VIRT Buy $AMZN $SMCI $TGT $CRM $TSM $CRDO $SG $CIFR $LULU $SLNH $ORCL $MSTR $RIOT $MARA Hold $IREN $HIMS $RKLB $PYPL $MRVL $IBIT $UPWK $GRAB $ALAB $ASTS $SOFI $NVDA $NVO Sell $HOOD $TSLA $RDDT $CRCL $PLTR $BMNR Strong Sell $OKLO $QBTS $IONQ _ Feel free to disagree but these are just my thoughts Strong Buy Explanations - Bought ~$70K of Virtu calls, 28% IV and just 6.6 forward p/e is undervalued. - Always DCA NBIS on the road to $200 on every dip. -ETOR is just way too undervalued at $39 imo. I don't even know how it hit that. If I remember correctly $700M+ cash pile on a 3.3B market cap, compounding similar rate to IBKR instead of HOOD/BULL but just straight line down below IPO price. - LTC ETF approval in 3-4 days with 95% odds. Great buy now unless it gets rejected ofc. Buy Explanations - Bought $50k+ Amazon calls today, looks more promising for recovery on the dip to $219+. Benefits from end of year seasonality from Oct - > Jan. Prime Day Oct 8th. Could dip again which is why it's good to DCA and not an extremely strong buy. - SMCI still projecting 55% forward revenue growth and it's kinda undervalued doing 5B+ quarterly revenue lol - TGT dividend in another month. There's some Target event but don't really think it matters as much as Amazon prime day. - CRM just bottoming chart wise, fundamentals not really changed - TSM better at $273, it's always a good buy but not a screaming buy like sub $250 - CRDO/ALAB, both dipped a lot. More of a correction rather than crash, which is why it's a decent buy agian. - SG, idk. I just like their salad and think risk reward at $8 is good considering they were trading $40 not too long ago. - CIFR, GOOGL backstopped now just execution. I'd buy on dips but today was a big rally - LULU benefits from Oct -> Jan end of year seasonality with holiday shopping. - SLNH, apparently waves have been going around X. Pretty small $100m marketcap or so, risk reward seems okay. - ORCL, they're a large shareholder of TikTok US at a discounted 14B valuation and have tons of forward rev from OpenAI/MSFT. It's one of those things where it probably dips after earnings like AVGO then pulls off a face ripping rally a month or two later. - MSTR, Bitcoin does well in Oct. Been shorted so Nav prem is probably around 1.4x-1.5x compared to 2x like during hype waves -RIOT/MARA pivoted to HPC so I like them more than before For hold stocks nothing really changed - Hood, I personally day trade so don't be offended if I think it's a good sell $130+ on a 12.27% increase day. - TSLA, cult stock detached from fundamentals - RDDT, I had a lot back at $100 wouldn't buy at $240 or 45B marketcap now so would probably sell/tri. - CRCL, just buy Coinbase instead - PLTR, cult stock detached from fundamentals, large part of their profit is just interest income - BMNR, just buy ETH if you want but ETH is a strong sell at $4k+ Strong Sell Anything carrying barely any rev with 10-20B+ marketcap I think is amusing . Props to you if you held OKLO from $8 to $116 though.
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持仓观望一个月，看财报后是否复刻AVGO走势。
@soulbiri1 不确定，先持有一个月看看它财报后是否会像 $AVGO 那样表现。 历史不会重演，但会押韵！
原推 ↗英文原文
@soulbiri1 Not sure, just holding it for a month to see if it pulls an $AVGO post earnings. History doesn't repeat itself but it rhymes!
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类比博通财报后走势，认为甲骨文因OpenAI合作具买入价值
@__visionxry__ 这让我想起 $AVGO 的财报表现，股价先剧烈波动（急涨急跌）持续约一个月，随后迎来猛烈的报复性上涨。目前走势可能更多受期权交易影响，而非基本面。如果按字面意思看待 OpenAI 的合作协议，$ORCL 是一个很好的买入标的。
原推 ↗英文原文
@__visionxry__ Reminds me of $AVGO earnings, spikes, dips for like a month, then face ripping rally. Probably more influenced by options rather than fundamentals at this point. If we go at face value of OpenAI deals, $ORCL is a great buy
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作者基于英伟达支持、微软大单及宏观降息，将NBIS仓位扩至百万美元，目标价225美元。
关于我将 $NBIS 仓位扩大至 100 万美元以上且目标价定为 225 美元的原因思考： 核心逻辑 ______ 当微软 (MSFT)、谷歌 (GOOGL) 和 Mag7 巨头成为你的客户时（就像 ALAB 或 CRED，我在它们股价低于 100 美元时重仓，或者在 $NVDA、AVGO 或 TSM 起飞之前），公司的未来增长可能会以百分之几百的速度爆发。 历史上几乎没有哪家公司像这样被 Mag7 巨头所依赖。 此外，当英伟达 (NVDA) 也有充分动机推高你的股价时…… NBIS 成为更强的买入标的，是我未来 1 年时间内信心最高的选择。 护城河 + 对英伟达至关重要的 GPU 租赁商 _______ 英伟达看到其他超大规模云厂商如 AMZN、GOOGL 正在构建自己的芯片并减少依赖。 对策？构建 GPU 租赁商（如 CRWV），通过持股和融资，使 Azure/Cloud/AWS 无法取代英伟达。 GPU 的获取越来越多地通过这些租赁商进行，正如我们在 OpenAI 身上看到的，他们不再拥有来自微软的算力，不得不转向谷歌。 谷歌的算力也不够，因此转向 WULF 等公司。微软转向 CRWV、NBIS 等公司，大型科技公司的算力需求向下游这些 GPU 提供商流动。 英伟达有充分理由推高 CoreWeave 和 NBIS 等 GPU 租赁商的估值，以对冲超大规模云厂商自研芯片的风险。 如果没有算力，数十亿美元将流向 NBIS，而英伟达在背后支撑他们。 宏观顺风 _______ Polymarket 已定价 3 次降息。 如果你看过我的另一篇帖子，十年才有一次的三次降息（对流入市场的流动性极其有利）+ 年底季节性因素，这对股票是积极的。 此外，NBIS 市值相对较小，且依赖融资/债务增长。当利息负担下降时，融资成本降低，扩张看起来更可行。 NBIS 的估值 heavily 基于未来收益，随着降息预期，来自微软和其他客户的数十亿美元收入预期将被上调。在昨天的美联储会议后，我们即将看到剧烈的重估。 公司对比 ________ 如果让我选择 NBIS -> CRWV -> WULF -> 其他，权衡潜力与投机性。 CRWV - 英伟达明确支持，市值已达 630 亿美元+。可能涨得更高，但考虑到 NBIS 拥有微软合同、类似的积压订单等，而市值仅为前者的一半多，这就是我选择 NBIS 的原因。 $IREN, BITF, RIOT, $GRRR 等 - 比特币矿工转型算力。我喜欢它们，但它们还没有像微软那样提供去风险化保障。 WULV - 我喜欢它们因为谷歌支持，但 NBIS 的可转债条款和相对于潜力的市值更好。 基本面 ______ 市值：247.8 亿美元（对比 CRWV 的 610 亿美元，后者今年仍下跌 30%），现在拥有类似的收入积压订单，轻松达到相同市值（每股 243 美元+）的潜力很大。 到 2026 年，计入微软交易后，NBIS 总收入可能达到 50-60 亿美元，毛利率强劲（≈70%）。 在 2027-2028 年，如果基础业务（非微软部分）也激进增长，总收入可能达到 80-100 亿美元+。所有这些都伴随着 ~60-75% 的毛利率。 这很疯狂，但主要是因为英伟达支持这些 GPU 公司。基于估值，NBIS 比 CRWV 更具吸引力，且比没有微软背书给予 170 亿美元的 IREN 等其他公司投机性更低。 杂项思考 ___ 他们已经筹集了 41 亿美元+，并为 170 亿美元的微软合同确保了资本支出。这是最大的去风险化事件，也是为什么我在 90 美元+ 投资 NBIS，而不是在 50 美元时投资更投机的标的。 可能还有其他来自超大规模云厂商的合同即将到来。我认为轻松路径是到 140 美元，然后可能因可转债转股下跌，再涨到 200 美元。 可能还有我没提到的细节，如几年后的利润率压缩、运营收入折旧风险等。 但这正是我投资决策的核心（宏观、基本面、行业增长、护城河+激励措施），与波段交易相比，这也是为什么 NBIS 是未来一年高信心标的的原因。
原推 ↗英文原文
Thoughts on why I’m scaling my $NBIS position to $1M+ with a $225 PT: Thesis ______ When MSFT, GOOGL, and Mag7 are your customers like ALAB or CRED (when I took large positions in both sub $100) or before $NVDA or AVGO or TSM took off, a company's forward growth would likely explode in the 100%'s of percent. There are barely any companies in history where Mag7 are dependent on them. On top of that, when NVDA has every incentive to pump your stock as well.... NBIS becomes a stronger buy and has my highest conviction for 1Y timeframe. Moat + GPU lenders Critical Importance to NVDA _______ NVDA sees other hyperscalers like AMZN, GOOGL building out their own chips and reducing reliance. Answer? Build out GPU lenders eg. CRWV, by taking a stake and financing them, so Azure/Cloud/AWS can't replace NVDA. Access to GPUs becomes increasingly through these lenders and as we see with OpenAI, they no longer have the compute from MSFT and have to go to GOOGL. GOOGL also doesn't have enough compute so they go to WULF and others. MSFT goes to CRWV, NBIS and others, and big tech compute flows downstream to these GPU providers. NVIDIA has every reason to inflate GPU lenders like CoreWeave and NBIS to hedge against hyperscaler custom chips. And without compute, billions of dollars will flow to NBIS with NVDA propping them up. Macro Tailwind _______ 3x rate cut priced into Polymarket. If you saw my other post, triple rate cuts only happen once a decade (extremely positive for liquidity flowing into markets) + combined with end of year seasonality, which are positive for equities. On top of that, NBIS is a relatively smaller market cap, and relies on financing/debt to grow. When their interest burden drops, financing gets cheaper, and expansion looks more viable. NBIS is heavily valued on future earnings, and with rate cut projections, far our earnings of billions in rev from MSFT and other clients get marked UP. We're about to see a sharp re-rating after Fed meeting yesterday. Company Comparisons ________ If I had to choose NBIS -> CRWV -> WULF ->others weighing on potential to speculation tradeoffs. CRWV - NVDA clearly backing them, already large $63B+ MC. Could go way higher but growth potential with MSFT contract with NBIS, similar backlog, etc. at more than half the marketcap is why I chose them. $IREN, BITF, RIOT, $GRRR etc. - BTC miners pivoting to compute. I like them but they don't have the same de-risking as MSFT yet. WULF - I do like them since Google is backing them but NBIS conversion terms and MC relative to potential are better. Fundamentals ______ MC: 24.78B (When you compare to CRWV at 61B, which was still down 30% this year), now with similar revenue backlog, it has an easy potential to go to the same marketcap ($243+ a share). By 2026, with Microsoft deal accounted for, NBIS could be doing $5-6B total revenue with strong gross margins (≈70%). In 2027-2028, total revenue could reach $8-10B+, especially if base business (non-Microsoft) also grows aggressively. All with ~60-75% gross margins. This is insane but mainly due to NVDA supporting these GPU companies. Based on valuation, NBIS is more attractive than CRWV and less speculative than IREN or others without MSFT backing giving them 17B. Misc Thoughts ___ They already raised 4.1B+ and secured capex for the $17B MSFT contract. This was the biggest de-risking event and why I'd invest in NBIS at $90+ compared to something more speculative back at $50. There's likely other contracts from hyperscalers coming their way. I'd say easy path to $140, then maybe drop from convertible note, then up to $200. There's probably more specifics that I didn't get to like margin compression in a few years operating income depreciation risk etc. But this was the core of my investment thesis (macro, fundamentals, industry growth, moat + incentives) when I make investment decisions vs. swing trading and why NBIS is high conviction over the next year.
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预测NBIS短期爆发后，长期走势或类似SMCI面临利润率与库存压力。
对于像 $NBIS 这样的股票，我会假设在一两年内，由于营收增长+前瞻潜力，会有一个巨大的催化剂推动其股价达到200美元以上。 然后它可能会像2-3年后的 $SMCI 一样，当局势稳定下来时，呈现高营收、低利润率，但随着大型科技公司部署由 $TSM 和 $AVGO 提供的自研芯片，面临库存风险和利润增长放缓。
原推 ↗英文原文
Stuff like $NBIS I'd just assume there's going to be a giant catalyst to $200+ in a year or two from revenue growth + forward potential. Then it might end up like $SMCI in 2-3 years when things settle down with high revenue, lower margins, but inventory risk and profit growth once all the big tech deploys their own chips with $TSM + $AVGO.
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建议买入垄断且低估的台积电，因其他AI股均依赖其代工。
如果你在纠结 $ORCL 对比 $AMZN | $GOOGL，$AMD | $AVGO 对比 $NVDA，$NBIS 对比 $IREN 对比 $WYFI 对比 $CRWV 这很简单。直接买入 $TSM，上述所有公司都依赖于它。 估值偏低且拥有垄断地位，基于未来增长 + 边缘推理(Edge Inference)的资本支出，市值有望从 1.3 万亿美元 -> 1.8 万亿美元。
原推 ↗英文原文
If you're debating $ORCL vs. $AMZN | $GOOGL, $AMD | $AVGO vs. $NVDA, $NBIS vs. $IREN vs. $WYFI vs. $CRWV It's easy. Just buy $TSM, everything above is dependent on it. Undervalued and a monopoly, will likely run from $1.3T -> $1.8T MC based on forward growth + capex from ERs.
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建议持有 $TSSI 以捕捉半导体牛市红利，预期单日涨幅超 10%。
如果你正考虑在 $TSSI 上获利了结，请记住该股在稀释前曾达 $30，且目前半导体牛市势头强劲，涉及 $SMCI、$TSM、$AVGO、$IREN、$NBIS、$WYFI、$NVDA 和 $ORCL。若涨势持续，单日涨幅可能超过 10%。
原推 ↗英文原文
If you’re thinking about taking profits on $TSSI, just remember the stock was $30 before dilution and there’s a huge semi bull run with $SMCI, $TSM, $AVGO, $IREN, $NBIS, $WYFI, $NVDA and $ORCL. Could see it go up 10%+ a day if the run continues. https://t.co/ks67hMAi01
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买入TSSI，看好小盘半导体随AI板块反弹。
鉴于半导体反弹已扩展至如 $SMCI 等服务器机架领域，我买入了 $40K 的 $TSSI。该股从 $31 跌至 $13.6，考虑到 $TSM、$CREDO、$NBIS、$AVGO、$MRVL、$ALAB 等其他半导体/AI 股票均已反弹，小盘股反弹的机会很大。https://t.co/jWkww0Avro
原推 ↗英文原文
Bought $40K of $TSSI now that the Semi rally extended back to server racks like $SMCI. Down from $31 -> $13.6, good chance for a rebound for small caps given the rest of semis/AI from $TSM, $CREDO, $NBIS, $AVGO, $MRVL, $ALAB and others have rallied. https://t.co/jWkww0Avro