$WULF
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博主转向关注上游瓶颈，预计能源和新云将因算力短缺跑赢。
@Schulz_Research 态势感知/Leopold 关于美国向推理(推理)和巨大能源需求转移的观点完全正确。我在2025年曾对 $IREN、$NBIS、$CIFR、$WULF 等新型云服务商(新云)持有类似论点。但我个人更转向关注上游瓶颈(上游瓶颈)和网络(网络)。不幸的是，基金未能完全熬过回撤。我们在内存集中度(内存集中度)上有重叠，但鉴于算力/容量短缺，我预计来自 $BE、$TE 的能源/电网或如 $SHAZ/$IREN 的新云将跑赢大盘。
英文原文
@Schulz_Research Situational Awareness / Leopold was completely right in terms of US shifting more toward inference + large energy demand. I had a similar thesis with Neoclouds like $IREN, $NBIS, $CIFR, $WULF, and others last year in 2025. But shifted more towards upstream bottlenecks + networking personally. It's just a little unfortunate the fund couldn't fully survive the drawdown. We did overlap in memory concentration but energy/grid from $BE, $TE, or neoclouds like $SHAZ / $IREN but I'd expect them to outperform given compute/capacity shortages.
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WULF签190亿DC租赁，利好新云托管板块。
哇，$WULF 今天与 Anthropic 签署了一份价值 190 亿美元的 数据中心(DC) 租赁协议。这很可能对 新云/数据中心托管(Neocloud/Colo) 板块构成非常积极的 顺风(tailwind)。
英文原文
Wow, $WULF signs a $19B DC lease with Anthropic today. Probably a very positive tailwind for the Neocloud/Colo sector. https://t.co/82tncsG3us
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说明NBIS对应META/MSFT，谷歌通过Fluidstack与CIFR/WULF做机房交易。
回复 @JonahK44：$NBIS 是 $META 和 $MSFT。 $GOOGL 通过 Fluidstack 做了很多交易，从 $CIFR 到 $WULF，获取更多托管机房。我猜是为了接入更多 TPU。
英文原文
@JonahK44 $NBIS is $META and $MSFT. $GOOGL has done a lot of Fluidstack deals with $CIFR to $WULF for more Colo. my guess is to plug in a lot more of their TPUS
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对比挖矿股结构优劣，认为CRWV和IREN更适合作为板块下跌的对冲工具。
@jorge_r006 $RIOT、$WULF、$NBIS 在结构上处于比 $CRWV 和 $IREN 更好的位置。因此，后两者在板块下跌时能提供更好的对冲作用。话虽如此，这只是我在深入研究后抛出的一个交易想法，我目前尚未建立任何头寸。
英文原文
@jorge_r006 $RIOT, $WULF, $NBIS look structurally in better positions than $CRWV and $IREN are. Hence why the latter two serve as better hedges in sector declines. That being said, just floating this trade idea out after doing more research, I haven't taken any positions yet.
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建议做多与谷歌有协议的电力股，避免稀释抛压。
@eddyluxe_ 如果存在电力需求，做多与谷歌(Google)有协议的 $WULF 或 $CIFR 可能是更好的主意。 这避免了 60 亿美元的新股稀释，以及在任何反弹中对你不利的抛压。
英文原文
@eddyluxe_ If there’s a demand for power, might be a better idea to long $WULF or $CIFR that have agreements with Google. It comes without a $6B new share dilution, and all that selling pressure against you in any rallies.
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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
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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OpenAI警告电力是AI竞争核心瓶颈，看好美国能源基建股。
@toptickcrypto 存在多个瓶颈。电力/电网是其中最大的瓶颈之一。 OpenAI 就 Deepseek 蒸馏问题向国会发送了一份备忘录： “维持美国在 AI 领域的优势，取决于我们能否可靠地大规模生成和输送电力。” 电力输送 - $VRT, $ETN, $PWR, $WMB, $KMI 一级能源供应商：$CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D 电网-能源/存储 - $TSLA, $FLNC, $NRGV, $BE 能源：$TE, $FSLR, $NRG 这对这些公司来说是一个被重申的顺风因素。 而对于那些已经锁定吉瓦(GW)级容量的公司，如 $IREN, $NBIS, $WULF 和 $CIFR，则存在二级顺风因素。 备忘录的核心问题围绕知识产权盗窃和国家安全问题。但关于维持优势的最大警告是能源。 OpenAI 警告国会，2024年中国新增了429吉瓦(GW)的电力容量，这超过了美国整个电网的三分之一，也超过了全球电力增长的一半。他们认为，如果没有对美国电网进行激进扩张，中国“蛮力”式的能源建设最终将使其超越西方的 AI 能力。 光子学(Photonics)、先进封装(Advanced Packaging)和存储(Memory)是目前增长最快的三个瓶颈。然而，OpenAI 明确警告美国政府，谁能产生最多的电力，谁就能赢得 AI 竞赛。 他们的信息是：投资美国能源。
英文原文
@toptickcrypto There's multiple bottlenecks. Power/grid is one of the largest ones. https://t.co/rIKoKRyQOu
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OpenAI警告国会：电力供应是AI竞争核心瓶颈，需投资美国能源。
OpenAI 就 Deepseek 蒸馏问题向国会发送了一份备忘录： “维持美国在人工智能领域的优势，取决于我们能否可靠地大规模生成和输送电力。” 电力输送 - $VRT, $ETN, $PWR, $WMB, $KMI 一级能源供应商：$CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D 电网能源/储能 - $TSLA, $FLNC, $NRGV, $BE 能源：$TE, $FSLR, $NRG 这对这些公司来说是一个被重申的顺风因素。 而对于那些已经锁定吉瓦(GW)级容量的公司，如 $IREN, $NBIS, $WULF 和 $CIFR，则存在二级顺风效应。 备忘录的核心议题围绕知识产权盗窃和国家安全问题。但关于维持优势的最大警告在于能源。 OpenAI 警告国会，2024年中国新增了429吉瓦(GW)的电力容量，这超过了美国整个电网的三分之一，也超过了全球电力增长的一半。他们认为，如果没有对美国电网进行激进扩张，中国“蛮力”式的能源建设最终将使其超越西方的AI能力。 光子学(Photonics)、先进封装(Advanced Packaging)和存储(Memory)是目前增长最快的三个瓶颈。然而，OpenAI 明确警告美国政府，谁能产生最多的电力，谁就能赢得AI竞赛。 他们的信息是：投资美国能源。
英文原文
OpenAI sent a memo to congress regarding Deepseek distillation: "Sustaining the American advantage on AI depends on depends on whether we can reliably generate and deliver power at scale." Power Delivery - $VRT, $ETN, $PWR, $WMB, $KMI Tier-1 Energy Providers: $CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D Grid-Energy / Storage - $TSLA, $FLNC, $NRGV, $BE Energy: $TE, $FSLR, $NRG This is a tailwind reiterated for these companies. And there's a second-order tailwind for companies that already secured GW capacity like $IREN, $NBIS, $WULF, and $CIFR. The core issue of the memo was around IP theft and national security issues. But the largest warning about sustaining an advantage was Energy. OpenAI warning Congress that in 2024, China added 429 Gigawatts (GW) of new power capacity, which was more than a third of the entire US grid and more than half of global electricity growth. Without a radical expansion of the American power grid, they believe China’s "brute force" energy buildout will eventually allow them to surpass Western AI capabilities. Photonics, Advanced Packaging, and Memory are three fastest growing bottlenecks right now. However, OpenAI explicitly warned the U.S. government that whoever generates the most power wins the AI race. Their message: Invest in American Energy.
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Neocloud板块卖空多为对冲，基本面强劲时无需过度关注。
从 $IREN 到 $WULF 的 Neocloud 板块的卖空兴趣(SI) 主要是可转换票据对冲，而非真正的做空。当然，像 Hedgeye 这样的机构也在增加 $NBIS 的 SI 数据，因此很难得知实际数字。话虽如此，如果基本面强劲，我其实不太在意 SI。
英文原文
Short interest from Neocloud sector from $IREN to $WULF are mostly convertible note hedging, not actual shorts. Of course there’s firms like Hedgeye adding to that number for $NBIS SI so it’s hard to know the actual figure. That being said don’t really care too much about SI if fundamentals are strong.
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谷歌转向TPU利好相关托管商，NBIS非其受益者。
@lawbrax 这对通过 Fluidstack 与 $GOOGL 相关的托管设施(Colo)公司，如新云(NeoCloud)领域的 $CIFR 和 $WULF 是利好消息。 看起来谷歌主要转向张量处理单元(TPU)了。我认为 $NBIS 并非谷歌的受益者，但他们曾是 $META 的受益者。
英文原文
@lawbrax This is positive for $GOOGL related colo companies through Fluidstack like $CIFR and $WULF in neocloud sector. Looks like Google is primarily shifting to TPUs now. Don't think $NBIS is a beneficiary of Google but they were with $META.
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对比新型云融资结构，指出Coreweave债务风险高且英伟达损失可控。
其他如 $CIFR、$WULF 是数据中心托管(colocation)商，它们不购买 GPU。$CRWV、$NBIS、$IREN 则购买。前两家由 $NVDA 注资。后者 $IREN 由 $MSFT 通过预付款购买 GPU。大多数新型云(neoclouds)拥有极佳的融资结构，如 Nebius 的低息可转换债券。Coreweave 是唯一陷入困境的，背负巨额债务，因此若无垃圾债(junk bonds)支持，很难获得额外资金购买更多 GPU。英伟达给 Coreweave 泼了冷水，投入 Coreweave 的 20 亿美元最终仍回流至 $NVDA。如果 Coreweave 因巨额债务和贬值的 GPU 而倒闭，英伟达损失并不大。
英文原文
Others like $CIFR, $WULF are colo. They don't buy GPUs. $CRWV, $NBIS, $IREN do. The first two $NVDA funded. The latter one, $MSFT did with prepayment for Iren to buy GPUs. Most neoclouds have great financing structures like low interest rate Nebius convertible notes. Coreweave is the only one on fire, with massive debt, so it's harder for them to secure additional funding to buy more GPUs without junk bonds. Nvidia threw a bucket of water on Coreweave and the $2B into Coreweave goes back to $NVDA anyways. Nvidia doesn't lose much if and when Coreweave goes under with just a ton of debt and depreciating GPUs.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$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。
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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指出对WULF和APLD的关注多为套利而非真实做空。
@Mr_Derivatives 提醒一下其他人，其中很多细节很微妙。对于像 $WULF 或 $APLD 这样的数据中心公司，大量的关注仅仅是为了对冲/可转换票据套利，而非真正的做空。
英文原文
@Mr_Derivatives Just a heads up to the others, a lot of it is nuanced. With data centers like $WULF or $APLD, a lot of interest is just hedging / convertible note arbitrate and not actual shorts
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NBIS受ATM及CRWV影响，其他数据中心股表现良好，IREN异常。
@_visionarius $NBIS 正在运行一笔2500万股的主动式按需发行机制(ATM)，近期其表现更多与 $CRWV 的走势挂钩。其他数据中心(Colo)玩家表现良好，如 $HUT、$CIFR、$WULF。唯一的异常是 $IREN。
英文原文
@_visionarius $NBIS has an active 25M share ATM running and it's more tied to $CRWV's performance recently. The other colo players have been doing well, like $HUT, $CIFR, $WULF. The only anomaly is $IREN.
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看好新云板块多数股票，认为WYFI等估值重置后极具吸引力。
几乎所有新云(Neocloud)板块的股票都是极其坚实的买入标的（也许除了 $SLNH）。$WYFI 算是与 NScale 达成 8.65 亿美元协议的 T2 层级玩家。但其估值已从 40 美元完全重置至 15 美元。因此，它与 $NBIS、$IREN、$CIFR、$WULF 及其他股票一样，是极具吸引力的买入选择。
英文原文
Almost every Neocloud segment stock is a extremely solid buy (maybe aside from $SLNH) $WYFI is kinda T2 with NScale's $865m agreement. But it's valuation got completely reset from $40 to $15. So it's an extremely attractive buy up there along with $NBIS, $IREN, $CIFR, $WULF and the others.
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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。
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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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！
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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新云板块处于验证期，当前下跌是建立护城河前的黄金买入机会。
新云(Neoclouds)正处于“证明实力”阶段。 $NBIS 的年经常性收入(ARR)增长率高达700%+，达到70-90亿美元；$IREN 的数据也超过34亿美元。 许多公司拥有多年的收入可见性，并得到七大科技巨头(Mag7)超大规模云服务商的背书。 然而，市场表示： “这不是一个无限刷钱的漏洞”。 即股价上涨 -> 可转换票据/稀释 -> ARR增加 -> 循环往复。 它们现在都有资金，$NBIS 持有48亿美元以上的现金储备，$IREN 持有来自 $MSFT 预付款/票据的数十亿美元以完成建设并转化为自由现金流(FCF)。 尽管有《加速推进电气化法案(SPEED Act)》通过、OpenAI融资（降低交易对手风险）以及降息等顺风因素，但近期的下跌趋势似乎是年底税务收割、做空、主动式自动取款机(ATM)增发以及主要是： 等待证明这些公司能否从 $MSFT 与 IREN 的交易到 Nebius 的杠杆内部收益率(IRR)预测中，实现规模化的利润率。这似乎归结为执行力和等待下一次财报。 许多散户投资者在此期间似乎已经投降，但机构持股比例仅上升（$NBIS 从30%多升至50%以上）。 但非对称性就在这里： 如果 Nebius 管理层能实现20-30%的息税前利润(EBIT)利润率并达到70-90亿美元的 ARR 目标，那么在保守分析师给出200美元以上目标价(PT)的情况下，85美元的价格显得极其、极其低估。特别是考虑到 Clickhouse 的扩张/IPO 以及 Avride 与 Uber 合作的自动驾驶出租车规模化。 我在主题上也特别看好 $IREN 在微软交易上的杠杆 IRR 预测，以及来自 $CIFR / $WULF 与 $GOOGL 交易的新云数据中心(Colo)玩家。 简而言之：如果新云能在其预测的利润率、规模上执行到位，并在这2-3年的窗口期内建立自己的护城河，那么整个板块的抛售似乎是一个黄金机会。
英文原文
Neoclouds are in the "Prove It" phase. You have absurd 700%+ ARR growth rates to $7-9B from $NBIS and $3.4B+ figures from $IREN. Many have multiple year revenue visibility and backstop from Mag7 Hyperscalers. However, markets have said: "This is not an infinite money glitch". Where a stock goes up -> convertible note/dilution -> ARR increases -> repeat. They all have funding now, $NBIS sitting on a $4.8B+ cash stack, $IREN sitting on billions from $MSFT prepayment/notes to finish their buildout and turn that into FCF. Despite tailwinds from the initial SPEED act passing, OpenAI fundraising (for less counterpaty risk), and rate cuts, the recent downtrend seems to combine EoY tax harvesting with short selling, active ATMs, and mainly: Waiting for proof that these companies can deliver margins at scale from levered IRR projections on $MSFT's IREN deal to Nebius. It seems to comes down to execution and waiting for their next earnings report. Many retail investors seem to have capitulated during this time but institutional ownership has only gone up (30's from $NBIS to 50's+ now) But here's where the asymmetry comes in: If Nebius management scales to 20-30% EBIT margins with their $7-9B ARR target, this seems incredibly, incredibly off at $85 when conservative analysts are throwing out $200+ PTs. Especially considering possible Clickhouse ramp/IPO and Avride robotaxi scaling with Uber. I'm especially bullish thematically too with $IREN levered IRR projections on the Microsoft deal and Neocloud colo players from $CIFR / $WULF $GOOGL deals. TLDR: If Neoclouds can execute with their projected margins, scale, and create their own moats during this 2-3 year window, then the whole sector selloff seems like a golden opportunity.
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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。
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 $AMZN, and OpenAI is showing it can scale up its balance sheet to meet requirements by trading off equity. Go long on the AI sector.
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长文拆解 SPEED Act 对 Neocloud 和 AI 数据中心的去风险作用
刚刚，SPEED Act 在众议院取得进展。 这是今年 Neocloud 板块（$NBIS、$CRWV、$IREN）最大的单一去风险法案/事件。 下面是原因和梳理： 美国政府正准备以美国对中国的国家安全为理由，支持从 Oracle 到 Nebius 的 AI 数据中心建设。 Oracle 和 CoreWeave 最近跌了 40%+（也把 $NBIS 从 140 美元打到 79 美元、$IREN 从 80 美元打到 35 美元、$CIFR 从 24 美元打到 14 美元），核心恐惧有三点： 1. 数据中心延迟和递延收入 2. 不可持续的 CapEx -> 没有 FCF 3. OpenAI 传染/积压订单风险 SPEED Act 和美国政府干预，修复了数据中心建设延迟的空头论点，也解决了利用率滞后带来的盈利问题（利润率）。 #1 数据中心延迟和递延收入 空头 thesis：多年许可延迟（NEPA、输电）把高价值合同变成了递延收入风险。$CRWV 明确把供应商延迟作为下调指引的原因，并在财报后大跌，因为相当一部分收入被推迟到 2026 年 Q1/Q2。 如果 SPEED Act 通过，alpha 在这里： 强制速度和诉讼保护。 - SPEED Act 要求联邦环境和监管审查遵守严格且不可协商的截止日期，通常是 1-2 年。 - 诉讼保护：该法案大幅缩短针对已批准许可提起诉讼的时效，比如缩到 150 天，并指示法院即使许可被临时挑战，也要允许数据中心建设继续推进。 结果：从签约到“GPU 上架 -> 收入流入”的时间线，被压缩了，并由联邦政府在政治上去风险。 递延收入被提前确认，修复了 $CRWV、$APLD 和 Neocloud 板块此前面临的延迟、递延利润/收入问题。 #2 不可持续 CapEx -> 无法从资产变现出 FCF 空头 thesis：公司在 GPU 和建设上花费数十亿美元（$ORCL 的 capex 很巨大），但从购买 GPU 到变现之间的利用率拖累严重影响盈利能力和 FCF。 这也大幅影响 AI Cloud 供应商，因为它们缺乏足够电力来把 GPU/capex 变现。 公司因此面临巨大的减记风险，也就是利用率拖累：GPU 闲置时，折旧和通电成本的时钟仍在跑。 这个拖累对数据中心部门盈利能力影响巨大，The Information 关于 $ORCL AI 利润率极薄的报道也提到过这一点。 SPEED Act 和美国政府干预会直接降低 CapEx 风险，因为速度上的立法要求（修复点 #1）实际上保证电力基础设施会在一个确定且较短的时间线内到位。 这种确定性让 $NBIS、$CRWV 和 $IREN 可以更有信心安排数十亿美元 GPU 的采购和部署，知道资产到货后就能立即开始变现，同时也通过降低利用率拖累来加快 FCF。 这种结构性变化会流向整个行业。它会立即降低主要 AI Cloud 供应商（$AMZN、$MSFT、$ORCL）的风险，因为它们现在能更确定地保证产能；同时也会保证 Colo/Infra/Energy 提供商（$CIFR、$WULF 等）的需求，因为它们的核心业务就是提供电力容量。 关于 capex -> FCF 以及建设延迟时间线的空头论点，现在已经被 SPEED Act 直接处理。 现在美国政府准备加速 $NBIS、$CRWV 和 $IREN 这类公司，因为 AI 数据中心已经被放到美国和中国 AI 国家安全竞争的前线。 它能否在众议院通过，是每个投资者都该关注的事。但如果通过，这会是 Neocloud / AI 数据中心建设里最大的、尚未被充分讨论的顺风之一。
英文原文
Just now, the SPEED Act ADVANCES in the House. This is the single biggest de-risking bill/event for the Neocloud sector ( $NBIS, $CRWV, $IREN) this year. Here's why and a rundown: The U.S. GOVERNMENT is set to support the AI data center buildout from Oracle down to Nebius on national security grounds for US vs China. Oracle and CoreWeave recently dropped 40%+ (tanking $NBIS $140 -> $79, $IREN $80 -> 35, $CIFR, $24 -> $14 as well) on three core fears: 1. DC Delays & Deferred Revenue 2. Unsustainable CapEx → No FCF 3. OpenAI Contagion/Backlog. The Speed Act and US Government intervention fixes bear-case points for data center buildout delays and addresses utilization lag profitability issues (margins). #1 DC Delays & Deferred Revenue Bear Thesis: Multi-year permitting delays (NEPA, transmission) turned high-value contracts into deferred revenue risk. $CRWV explicitly cited vendor delays for lowering guidance and tanked on earnings shifting a large portion of revenue to from Q1 Q2 2026. The alpha if the Speed Act passes: Mandatory Speed and Litigation Shields. - The Speed Act mandates strict, non-negotiable deadlines (often 1-2 years) for federal environmental and regulatory reviews. - The Litigation Shield: The bill drastically shortens the statute of limitations for filing lawsuits against approved permits (e.g., to 150 days) and instructs courts to allow DC buildout to continue even if a permit is temporarily challenged). The Result: The timeline from contract signing to "GPUs on racks -> revenue flowing" is now compressed and politically de-risked by the Federal Government. Deferred revenue is pulled forward and fixes delays and deferred profitability/revenue that plagued $CRWV, $APLD, and the Neocloud sector. #2: Unsustainable CapEx -> No FCF from monetizing the assets Bear Thesis: Companies were spending billions on GPUs and construction ( $ORCL's capex is massive) with utilization drag (from the point of purchasing the GPUs to monetization) largely affecting profitability and FCF. This also largely affects AI Cloud vendors (lacking power to turn monetize the GPUs/capex). Again This forced companies to take a massive write-down risk due to Utilization Drag (the time the GPU sits idle while the clock runs on depreciation/power-up). This drag is HUGE for profitability on DC segments, as cited in The Information reports on $ORCL's razor-thin AI margins. The SPEED Act and the US Government intervention directly de-risks CapEx as the legislative mandate for speed (Fix #1) effectively guarantees that power infrastructure will arrive within a defined, short timeline. This certainty allows $NBIS, $CRWV, and $IREN to time the purchase and deployment of billions in GPUs with high confidence that the assets will begin monetizing immediately upon arrival as well as accelerates FCF from reducing utilization drags. This structural change flows down the entire industry. It instantly de-risks the major AI Cloud vendors ($AMZN, $MSFT, $ORCL) who can now guarantee their capacity, and it guarantees demand for the Colo/Infra/Energy providers ( $CIFR, $WULF, and others) whose core business is supplying that power capacity. The bear case on capex -> FCF + buildout delay timeline has now directly addressed with the Speed ACT. Now the US government is set accelerate companies like $NBIS, $CRWV, and $IREN as AI Datacenters is now placed on the forefront of the AI national security battle between the United States and China. Whether it passes legislation in the House is what every investor should be watching, but if does, this is one of the largest (not-talked about) tailwinds for the Neocloud /AI Decenter buildout.
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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。
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 $GOOGL TPU ramp. What are you watching or buying on Monday?
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博通财报后AI板块抛售是误解造成的买入机会，新云板块中OpenAI依赖股除外
博通[$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。
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 $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.
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看好$AAOI，因其在AI光互联中的核心地位及美国本土制造优势，认为其被严重低估。
我买入 $ALAB、$NBIS、$TSM 和 $LITE，是因为“七巨头”(Mag7) 的收入正流向这些公司。 $LITE 的独特之处在于其在 GOOGL TPU v7、AMZN Trainium v3/4 和 NVDA Blackwell 中的角色。 但我发现了一个新标的。 一家市值低于 30 亿美元的小盘股，符合我的投资逻辑： 名称 - $AAOI 一家小型光子学玩家，也是我持仓的两家光子学公司之一： 1. Lumentum ($LITE) 在每一款芯片的部署/爬坡中都占据独特地位，因为其光电路交换(Optical Circuit Switching) 技术被用于 Blackwell、Trainium 和 Ironwood，作为一种“横向扩展”(scale-across) 型技术。 无论超大规模云厂商选择 ASIC 还是 GPU，$LITE 都能胜出，因为它处于核心位置。 2. Applied Optoelectronics ($AAOI) 更多涉及“纵向扩展”(scale-out) 连接，针对 Trainium、Maia 等定制 ASIC 集群，通过 400G 和 800G 光缆及光收发器实现。 鉴于 $AAOI 在 AWS（Trainium 的大客户）和 MSFT Maia ASIC 中的角色，它也能无论何种情况都胜出。 行业正经历由向 800G 速度迁移驱动的“超级周期”，而 AAOI 正处于中心位置。 此外，AAOI 具有独特的地缘政治角度： 美国优先。 与许多无晶圆厂(fabless)并将生产外包到台湾的公司不同，Applied Optoelectronics 在德克萨斯州自行制造激光器。 美国超大规模云厂商（特别是 Amazon 和 Microsoft）正在积极减少对关键基础设施中国供应链的依赖，这有助于 AAOI 实现本土激光器制造。 我们还看到一家“主要超大规模云厂商”对其 800G 数据中心光收发器下达了另一笔巨额订单。 但 AAOI 的交易表现像一家困境公司；然而，其亚马逊权证协议隐含的收入为 2025 年 Q4 和 2026 财年的 800G 爬坡创造了非对称的风险/回报特征。鉴于其在 AI 建设中的角色及现有的超大规模云厂商合同，AAOI 似乎结构性被低估。 市场终于开始重估 $LITE，但感觉 $AAOI 才刚刚开始，鉴于其小市值以及作为超大规模云厂商 ASIC 集群关键玩家和“美国制造”的独特角度。 市场目前正在对光子学玩家进行大幅重估并赋予高溢价，但 AAOI 今年仅上涨 2.20%，似乎蓄势待发。
英文原文
I entered $ALAB, $NBIS, $TSM, and $LITE because of Mag7 funneling revenue numbers into them. Lite uniquely because of its role in GOOGL TPU v7, AMZN Trainium v3/4, and NVDA Blackwell. But there's a new one I found out about. A small cap <$3B player that fits the thesis: Name - $AAOI A small cap photonics player, and one of the two photonics players I'm invested in: 1. Lumentum is uniquely positioned in every single supply chip deployment/ramp, as the Optical Circuit Switching technology is used in Blackwell, Trainium, and Ironwood as a "scale-across" type technology. $LITE wins no matter what. Hyperscaler ASIC vs. GPU as it's in the center of it all. 2. Applied Optoelectronics is more of the "scale-out" connectivity, for custom ASIC clusters like Trainium, Maia through 400G and 800G optical cables and transceivers. $AAOI wins no matter what as well given its role with AWS as a whale client for Trainium, and with MSFT Maia ASICs. The industry is going through a "supercycle" driven by the migration to 800G speeds and AAOI is in the center of it. On top of that, AAOI plays unique geopolitical angle, America first. Unlike many other companies that are fabless and export production elsewhere to Taiwan, Applied Optoelectronics makes their own lasers in Texas. US hyperscalers (specifically Amazon and Microsoft) are aggressively reducing reliance on Chinese supply chains for critical infrastructure and that helps AAOI’s ability to manufacture lasers at home. And we've seen another huge volume order from a "major hyperscaler" on its 800G data center transceivers. But AAOI trades like a distressed company; however, the implied revenue of its Amazon warrant agreement creates an asymmetric risk/reward profile on its 800G ramp in Q4 2025 and FY2026. AAOI seems structurally undervalued, given its role in the AI buildout and existing hyperscaler contracts. The markets are finally catching up to LITE, but it feels $AAOI is yet to begin, given its small market cap size but unique angle of a critical player to hyperscaler ASIC clusters and Made in America. The market is currently re-rating heavily with photonics players and assigning a heavy premium, yet AAOI is only up 2.20% this year and seems like it's just about to begin.
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OpenAI 恐慌引发 AI 供应链板块抛售，独立标的现买入机会。
确实如此。其中很大一部分源于对 OpenAI 的担忧。例如，OpenAI 是 $CRWV 的锚定租户之一；$ALPD 出售垃圾债 -> 信贷收紧。随后板块抛售。显然这是多因素的（例如，套息交易平仓引发的更广泛抛售），ATM 增发/可转换票据 + 部分公司进一步稀释 -> 市场风险偏好下降。但再次强调，$ALPD 和 $CORZ 与 $CRWV 挂钩，而后者与 OpenAI 挂钩。$CIFR、$WULF 通过 Fluidstack 作为锚定方与 $GOOGL 挂钩。$NBIS 为 $MSFT 和 $META 进行建设。这是一个极其微妙的板块，但像 OpenAI 引发的全板块抛售/恐慌也为更独立的玩家提供了买入机会。
英文原文
They did. A large part of it was OpenAI fears. eg. OpenAI -> one of $CRWV anchor tenant. $ALPD selling junk bonds -> credit tightening. Sector selloff after. Obviously it's multifacted (eg. broader selloff from carry trade unwind), ATM offerings/convertible notes + more dilution for some -> market risk off. But again, $ALPD + $CORZ are linked to $CRWV which are linked to OpenAI. $CIFR, $WULF -> $GOOGL through Fluidstack as anchor. $NBIS -> Buildout for $MSFT and $META. It's an extremely nuanced sector, but whol sector selloff/fears like OpenAI presents a buying opportunity too for the more isolated players.
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Neocloud龙头承压，但获超大规模云商背书的个股是理想买点。
我预计Neocloud股票今天会表现不佳，因为$ORCL/$CRWV是“板块龙头”。 但这将是该板块个股的理想买入机会： 因为市场忽略了$ORCL/$CRWV高负债扩张的主要交易对手是OpenAI这一细微差别。 但该板块的其他公司如$NBIS、$CIFR、$WULF则由AAA评级的超大规模云服务商（$META/$META/$GOOGL/$AMZN）的现金牛业务提供背书。
英文原文
I expect a bad day for Neocloud stocks just because $ORCL / $CRWV are "sector leaders". But this would be an ideal buying opportunity for individual companies in the sector: Due to the market missing the nuance that $ORCL / $CRWV's debt-filled buildout is for OpenAI as the main counterparty. But other companies in the sector like $NBIS, $CIFR, $WULF are backstopped by AAA-rated Hyperscaler ( $META / $META / $GOOGL / $AMZN) cash cows.
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甲骨文因OpenAI信用风险大跌，新云板块错杀，建议买入非OpenAI依赖标的。
甲骨文($ORCL)的财报结果及其对$NBIS和$IREN等“新云(Neocloud)”板块的影响： 甲骨文财报EPS超预期且积压订单创纪录，但盘后仍下跌12%。 甲骨文自9月11日高点以来已下跌39.8%，并拖累了整个板块。 原因如下： 抛售不仅是对营收轻微不及预期的反应，更是算法做空和投资者对AI资本支出(Capex)周期可持续性，以及该板块主要租户OpenAI偿债能力的担忧。 甲骨文宣布2026年资本支出增加150亿美元至近500亿美元，这与据报道的与OpenAI的3000亿美元合作伙伴关系密不可分。 最初，OpenAI作为前沿大语言模型(LLM)，向甲骨文、Coreweave等承诺了诱人的资本支出，推动了板块的初步重估。 然而，随着超过1万亿美元的债务义务以及来自Anthropic、Gemini、XAI等的竞争加剧，市场严重怀疑甲骨文、Coreweave等是否为一家无法通过经营性现金流履行义务的租户建设基础设施。 市场有效发出了信号：甲骨文正在为无法履行承诺的OpenAI提供不可持续的债务融资“供应商融资(Vendor Financing)”。 因此，下跌是理性的：抛售由信用风险和资本密集度的理性重估驱动。 OpenAI资金担忧是合理的：OpenAI缺乏资金履行合同的假设，由其收入(130亿美元)与义务(600亿美元/年)之间的巨大错配所支持。 信用担忧是真实的：甲骨文信用违约互换(CDS)利差的扩大表明“信用事件”降级或违约的概率上升。 此外，我们看到这在“新云”板块中引发了传染效应：$NBIS从140美元跌至90美元区间，$IREN从80美元跌至40美元区间，$CIFR从20多美元跌至17美元区间。 但这对于$WULF、$NBIS、$IREN等新云公司是否是买入机会？ 是的。 这对$ORCL是否是好的买入机会？ 不是。 前瞻展望： $ORCL(大部分)和$CRWV(25%积压订单)是两大主要依赖OpenAI的玩家，这一叙事可能因OpenAI的融资活动而瞬间反转(+30%以上波动)。 如果OpenAI在2026年以高估值进行超额认购的IPO，且其新GPT模型击败Gemini/Claude，情况可能改变。 然而，许多其他玩家与OpenAI隔离。新云板块的原始逻辑是Mag7从其现金牛业务(Azure, AWS, GCP)向下漏斗资金至：$NBIS, $IREN, $CIFR, $WULF等。 但随着最大玩家($ORCL, $CRWV)下跌，算法交易拖累了整个板块。 如果单独看公司，$CIFR和$WULF由$GOOGL背书，$IREN/$NBIS由$MSFT资助。 这些是来自超大规模云厂商/Mag7的锁定合同积压，而非OpenAI。 这种因误解风险而导致的非理性抛售，为新云板块提供了绝佳的买入机会，但不包括与OpenAI绑定的$ORCL和$CRWV。
英文原文
Oracle [ $ORCL ] earning results and its effect on the neocloud sector like $NBIS & $IREN: Oracle reported earnings with a beat on EPS and a record backlog but, dropped 12% after hours. Oracle is down 39.8% from September 11th highs and brought down the sector with it. Here's why: The sell-off was not merely a reaction to marginal revenue miss, but both an algorithmic short and investor selloff on the sustainability of the AI capex cycle and the creditworthiness of the sector's primary tenant: OpenAI. Oracle's announcement of a $15 billion increase in 2026 capital spending to nearly $50 billion was inextricably linked to a reported $300 billion partnership with OpenAI. Originally, OpenAI was the frontier LLM, with promising capex promises to Oracle, Coreweave and others, contributing to the initial repricing of the sector. However, with over $1t+ in obligations and increasing competition from Anthropic, Gemini, XAI, and others, the markets have serious doubts on whether Oracle, Coreweave, and others are building for a tenant that cannot currently fund its obligations from operating cash flow. WE're seeing the market effectively signaling that the market Oracle is creating an unsustainable debt-funded "vendor financing" for OpenAI, which cannot fulfill its promises. So, the drop was rational: The sell-off was driven by a rational repricing of credit risk and capital intensity. OpenAI Funding Fear is Valid: The hypothesis that OpenAI lacks the funds to honor its contracts is supported by a glaring mismatch between its revenue ($13B) and its obligations ($60B/year). Credit Fears are Real: The widening of Oracle's CDS spreads sees a rising probability of a "credit event" downgrade or default. Furthermore, we're seeing this trigger a contagion effect across the "Neocloud" sector from $NBIS dropping from $140 to $90s, $IREN dropping $80 to $40s, $CIFR dropping from $24s to $17s. But is this a buying opportunity for Neoclouds like $WULF, $NBIS, $IREN, and others? Yes. Is this a good buying opportunity for $ORCL? No. Forward Outlook: $ORCL (large portion) , $CRWV (25% backlog) are the two players largely dependent on OpenAI and this narrative can flip in an instant (+30%+ change) depending on capital raising activity from OpenAI. If OpenAI files for an oversubscribed IPO in 2026 at high valuations and it's new GPT models beats out Gemini/Claude, we can see this change. However, many other players are isolated from OpenAI. The original thesis of the Neocloud sector was Mag7 capex funndel from their cash cows segments (Azure, AWS, GCP) down into: $NBIS, $IREN, $CIFR, $WULF, and others. But as the largest players ( $ORCL, $CRWV) fall, these algorithmically bring down the whole sector. If you look at the companies individually, companies like $CIFR and $WULF are being backstopped by $GOOGL, and $IREN / $NBIS are funded by $MSFT. These are locked in contract backlogs from Hyperscalers/Mag7, not OpenAI. This irrational selloff due to misunderstanding of risks presents an amazing buying opportunity for the Necoloud sector, but not companies tied to OpenAI like $ORCL and $CRWV.
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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。
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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IREN和WULF主要涉及可转债套利而非做空。
@MambaHarveyInc @babyfolio @Hedgeye 关于 $IREN 和 $WULF 这类股票，大部分是可转债套利(convertible note arbitrage)而非做空(shorts)。
英文原文
@MambaHarveyInc @babyfolio @Hedgeye on stuff like $IREN and $WULF majority is convertible note arbitrage not shorts.
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AI云股被算法归篮联动，CRWV财务堪忧，NBIS/IREN长期价值或超CRWV。
是的，完全同意。我认为算法/市场目前将 $NBIS、$IREN 归入 $CRWV、$NVDA 的篮子中。因此，任何关于 Coreweave 的负面报道都会对其他公司产生负面影响。我们终于看到 $WULF、$CIFR 等被归入数据中心(colocation)篮子（相对不受 GPU 贬值论点影响），并表现优异。但坦率地说，$CRWV 是一个财务噩梦，只要它被视为新云(neocloud)行业领导者，就会影响其他公司。至于 $NVDA，$GOOGL 的 TPU 论据是我目前看到的针对 $NVDA GPU 云业务最强的看空理由，但这些公司已经从 $META、$MSFT 锁定了 5 年的超大规模云服务商(hyperscaler)合约。我认为市场最终会正确定价，我相信 $NBIS 和 $IREN 有一天会比 $CRWV 更有价值，但其中只有一家拥有自动驾驶 Robotaxi lol。
英文原文
Yep absolutely. I think algos/market put $NBIS, $IREN in the $CRWV, $NVDA basket right now. So any negative hit piece about Coreweave does negatively affects the others. We've finally seen $WULF, $CIFR and others get put into the colo basket (which are relatively unaffected to GPU depreciation arguments), and outperform. But $CRWV is a financial nightmare to put it bluntly, so it does affect the others as long as it's treated as the neocloud sector leader. As for $NVDA, TPU arguments from $GOOGL is the strongest bear case I've seen to date though on $NVDA GPU clouds, but these companies already have have 5 year hyperscaler deals locked in from $META, $MSFT. imo markets will price things in correctly in due time, I do think both $NBIS and $IREN will be worth more than $CRWV one day. but only one of those has self-driving robotaxis lol
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英伟达虽面临谷歌TPU等定制芯片竞争，但中期统治力稳固，逢低买入。
英伟达($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。
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.