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三星遭中方窃取存储芯片机密，恐被逐出中国市场，处罚力度引争议。
哇，中国知识产权间谍活动并非新鲜事，但这一事件对三星以及美国/韩国而言简直是灾难性的。窃取全球最先进存储芯片的秘密，然后交给中国国有背景的公司……随后很可能将三星/美光切断出中国国内市场。对于这10名被起诉者，即使只有丝毫牵连，终身监禁作为威慑都不足以构成惩罚。如果他们10年后出狱还能拿到5000万美元的薪水，那这就足以激励这些人继续盗窃。
英文原文
Wow, Chinese IP espionage is not new but this one just catastrophic for Samsung and US/Korea. Stealing secrets of the world's most advanced memory chips then handing them over China’s state backed company…. Then likely cut off Samsung/Micron from China’s domestic market. Maximum life in prison for deterrence isn’t even enough of a punishment for this, from the 10 indicted, even with an iota of involvement. If they get out of jail 10 years later with a $50M paycheck, then that’s incentive enough for these people to continue theft
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构建模型对比磷化铟激光级原料的垂直整合与公开市场供应。
@dr_lmfao_ 是的，绝对如此。我正在构建一个模型，以标准化磷化铟(Indium Phosphide)激光级原料的拥有权，对比像 $AXTI 这样的私有垂直整合玩家，与像 $DOWA 或 Vital Materials 这样在公开市场销售的其他公司。 这极其复杂 lol
英文原文
@dr_lmfao_ Yeah absolutely, I’m working on a model to normalize ownership of indium phosphide for just laser grade feedstock from private vertically integrated players like $AXTI vs others like $DOWA or Vital Materials that sell on open markets. It’s extremely complex lol
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澄清AXTI风险，探讨InP衬底瓶颈下的估值逻辑。
所以我并不主张买入 $AXTI，因为中国供应链存在重大风险，我只是在澄清一些误解。 如果一只股票“已经涨过了”，重要的是要区分它是否比以往任何时候都便宜，即使在历史高点(ATH)时也是如此。 看看 $MU 的前瞻市盈率(Forward P/E)，我上次查的时候即使在历史高点也小于10。 如果磷化铟(InP)衬底价格因为极端瓶颈而像内存一样翻三倍甚至十倍（鉴于它以前被当作廉价的电信商品定价），它是已经涨过了，还是看起来比以往任何时候都便宜？ 如果一家市值7亿美元的小公司现在成了AI增长周期的单点故障(Single Point of Failure)，因为我们已经触及了InP衬底的天花板，你会如何给它估值？500%的涨幅足够吗？
英文原文
So I’m not advocating for buying $AXTI since there’s significant risks with China supply chains but just clearing up misconceptions. If a stock “already-ran” it’s important to differentiate if the stock is cheaper than ever, even at ATHs. Just look at $MU forward p/e which is <10 last I checked even at ATHs. If inp substrate prices triple or even 10X (given it was priced like a cheap commodity for telecom) like memory because of an extreme bottleneck, did it already run or does it look cheaper than ever? If a $700m tiny company is now the single point of failure for the growth-cycle of AI we’ve hit the ceiling of InP substrates, how would you value it? Is a 500% increase enough?
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AI供应链瓶颈类似当年锂和HBM，衬底及关键组件面临短缺与估值难题。
同意，对于交易者而言，这应该是一个有趣的机会，就像2021年电动车兴起时的锂，或者当前SK海力士和美光的高带宽内存(HBM)，如果人们能早期识别瓶颈的话。 机会众多（$AAOI尽管获得新的超大规模客户订单，年初至今仅上涨2.9%。这与Maia/Tranium等超大规模客户的部署挂钩）。 $MRVL需求极度旺盛，但主要来自Maia在2026年第四季度至2027年的需求，年初至今下跌22%。$POET作为$MRVL扩产的间接受益者。 磷化铟(InP)衬底在整个供应链中普遍短缺。$GOOGL加速TPU部署，利好$LITE，以及$COHR的垂直整合+创纪录积压订单。 像$AXTI这样极其荒谬的玩家，市值仅7亿美元，却几乎是未来AI扩产的单点故障(SPOF)。真不知道该如何给这个估值，哈哈。 $COHR、$LITE和衬底供应商现在正触及产能极限。我们将看到这需要多长时间才能达到像内存那样的极端程度。
英文原文
Agreed, for traders, this should be an interesting opportunity like Lithium in 2021 when EVs came about or HBM currently with Sk Hynix and Micron if people recognized the bottlenecks early. Tons of opportunity ($AAOI only up 2.9% YTD despite new hyperscaler orders. Tied to hyperscaler deployments like Maia/Tranium). $MRVL with extreme demand but mainly in q4 2026, into 2027 from Maia, down 22% YTD. And $POET as an indirect beneficiary of $MRVL ramp too. Shortages throughout the entire supply chain with InP substrates. $GOOGL ramping up TPU which benefits $LITE and vertical integration + record backlog from $COHR Extremely absurd players like $AXTI with a $700m marketcap basically being the single point of failure for the future AI ramp. Not quite sure how you place a value on that lol. $COHR, $LITE and substrate providers are hitting the capacity limits now. We’ll see how much time it takes for his to go to the extremes like memory.
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AXTI估值低反映其风险，AI供应链对其光子学衬底依赖加剧脆弱性。
$AXTI 确实存在很大风险。这就是为什么它的估值仅为 7 亿美元，像是一只仙股，而不是像 $SMTOY 那样超过 300 亿美元，尽管两者都是垂直整合企业且都是最重要的供应商之一。此外，AI 供应链极度依赖该公司提供的用于光子学的 inp 衬底（inp substrates）原材料以实现产能爬坡，这一事实进一步加剧了本已脆弱的 AI 基础设施建设所面临的风险。
英文原文
There is a lot risk with $AXTI for sure. That’s why it’s valued like a penny stock at $700m and not $30B+ like $SMTOY despite being both vertically integrated and one of the most important suppliers. And when you combine with the fact the AI supply chain is extremely reliant on this company for raw materials -> inp substrates they provide for photonics in order to ramp, that’s even a greater risk to the already fragile AI buildout.
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感谢博主分享关于光子学板块个股的见解。
@crux_capital_ 谢谢，我也很喜欢你关于 $LITE、$POET、$AAOI、$COHR、$MRVL 以及其他光子学(Photonics)参与者的帖子。
英文原文
@crux_capital_ Thanks, love your posts on $LITE, $POET $AAOI $COHR, $MRVL, and other photonic players too
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博主以捐款为赌注，质疑AXTI是AI行业瓶颈的说法。
@Qreiseck 如果你能指出市值7亿美元的小盘股 $AXTI 是如何成为整个 AI 行业瓶颈的，我就向你指定的慈善机构捐款。
英文原文
@Qreiseck I will donate to a charity if your choice if you can point out where you realized a $700m microcap company like $AXTI was the bottleneck for the entire AI sector.
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质疑IQE估值，认为其属困境而非便宜，愿重新评估
@NowAwake_ @VulcanMK5 我上次看的时候，IQE 似乎正在进行资产出售？看起来更像是一家陷入困境的公司，而不是“便宜”。 如果情况有变请告诉我，我会重新审视。
英文原文
@NowAwake_7 @VulcanMK5 Last time I took a look, IQE was going through asset sales? Seemed like a distressed company rather than “cheap”. You can tell me if the story is different and I’ll take another look
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澄清Grok误解，指出AVGO依赖AXTI等InP衬底，AXTI具备全产业链优势。
Grok 可能混淆了晶圆制造(wafer fab)与磷化铟(InP)衬底制造。$AVGO 的 Penn 工厂仍需从住友、$AXTI 或 JX 采购 InP 衬底来制造激光器（这就是瓶颈所在），且它们很可能是客户。 而那家市值仅 7 亿美元的化合物半导体公司 $AXTI 可能是其中唯一一家实现端到端控制的企业，从镓、铟等初始原材料精炼开始就拥有上游资源。 因此，“主要不进口 InP 晶圆/衬底”这一说法可能是错误的。
英文原文
Grok is likely conflating wafer fab with InP substrate manufacturing. $AVGO's penn fab still requires InP substrates from Sumitomo, $AXTI, or JX to build the lasers (hence the bottleneck) and they're likely customers. And that small $700M MC company $AXTI is probably the only one of the bunch that does this end-to-end by owning Gallium, Indium, etc. on from the initial raw material refining. So the "does not primarily import InP wafers/substrates” part is probably wrong.
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光子供应链瓶颈或现类似HBM的投资机会
是的，$LITE 和 $COHR 表现惊人，自拥有强大定价权以来涨幅显著。 若深入挖掘 $AXTI（垂直整合）、住友 -> 同和等更深层环节，集中度风险与瓶颈会发出警示信号。 在 HBM（高带宽内存）领域，当人们发现瓶颈时便出现了投资机会。如今在光子供应链中，随着超大规模云厂商囤积材料并收购产能，很可能存在同样的被忽视的机会。
英文原文
Yep, $LITE and $COHR are amazing and are up quite a bit since they tons pricing power. Go few levels deeper into $AXTI (vertically integrated), Sumitomo -> Dowa, etc. the concentration risk + bottleneck flashes warning signs. With HBM, it was an investment opportunity when people found that bottleneck. There's likely that same overlooked opportunity with photonic supply chains now when hyperscalers hoard materials and acquire capacity.
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InP衬底成AI光互连瓶颈，$AXTI/$SMTOY掌控命脉，2026年或致供应链危机。
“磷化铟(InP)瓶颈”：AI基础设施建设的关键瓶颈解析： $NVDA Blackwell、$META MTAI、$GOOGL TPU 和 $MSFT Maia 的产能爬坡，其未来取决于两家市值仅7亿美元的小盘股 $AXTI 和 $SMTOY。 如果无法解决 InP 问题，AI“增长”故事将在2026年终结。 原因如下： AI行业正开始向光子学迁移，以部署未来的 ASIC/GPU，因为铜互连已触及物理极限。 然而，超大规模云服务商在这样做时，却将命运押注在了 InP（磷化铟）这一通用材料上，而全球仅有少数工厂能以激光器所需的纯度生产6英寸 InP 晶圆。 以 Google 及其 TPU v7 Ironwood 项目为例： Google 使用光电路交换(Optical Circuit Switching, OCS)，简单来说就是由光构成的交换机。Pod 中的每一个 TPU 进行通信都需要基于 InP 的激光器。与 Google 合作的 $LITE 在很大程度上依赖 InP 衬底（如 AXT/住友）来制造这些激光器。 如果没有这些衬底，Google 的整个 Ironwood 项目不仅仅是“放缓”，而是会直接撞墙。 来自 $NVDA GB 系列、$AMZN Trainium、$MSFT Maia、$META MTAI 的现代 ASIC/GPU 都做出了同样的押注：光是未来的方向。 现在，问题出现了。 整个西方 AI 路线图目前都系于一家市值7亿美元的小盘股和一家单一的日本公司，它们生产了全球光子学所需的大部分 InP 衬底。 目前这是一个双寡头格局（粗略估计 AXT + 住友供应约60%），最近的估计显示约70%+的供应来自住友电气、AXT、Freiberger、JX 和 Visual Photonics Epitaxy（填补剩余缺口）。 无论如何，整个未来的 AI 供应链细如针尖： - Moomoo 研究：InP 市场处于“全球争夺”和“严重供应短缺”状态，NVIDIA GB200 的推出（扩展仍需大量 InP，不仅仅是机架内的 NVL72 通信）。 - 高速收发器的需求目前可能超过供应近两倍（LightCounting） - 看到创纪录的预订，但明确“受限于 InP 激光器的供应”（$COHR CEO Q3 财报电话会） - 麦肯锡：800G 模块存在 40% 到 60% 的缺口，1.6T 模块存在 30% 到 40% 的缺口。 鉴于需求的激增，这些报告可能理解得过于保守。即使按照微软对 Maia 爬坡的预测（据 UBS $MRVL 笔记，2027年 Maia 估计超过100万台），加上未来一年超过200万台 1.6T 收发器，这一体量如此之大，代表了全球衬底产量的双位数百分比。 AI 预期的“指数级增长”即将与关键材料生产的现实发生碰撞。因此，“Ironwood”、“MTIA”和“Maia”的爬坡不仅雄心勃勃，在当前材料限制下可能根本不可能实现。 即使 $COHR、JX 日本、住友、$AXTI 等以最大产能扩产（例如 $COHR / JX -> 6英寸 InP 晶圆产能提升4倍），他们可能仍无法满足超大规模云服务商日益增长的需求。特别是考虑到需求激增，例如仅 $NVDA 自身（GB200/GB300 修订版）的需求。 硅光子学等技术解决方案可以弥合差距，但这仍然主要需要外置 InP 激光器作为光源。TFLN 或量子点激光器还需要很多年才能成熟。 未来几年可能无法摆脱对 InP 的需求。 因此，芯片设计与材料可用性之间的错配创造了一个战略瓶颈，在供应链的最底层，极少数公司控制了大部分配额、定价和供应。当叠加美中关系紧张和出口管制的地缘政治风险时，这尤其危险。 话虽如此，以下是可能发生的事情： - 价格飙升：$AXTI、JX、住友的价格将大幅飙升 -> $LITE、$COHR、中际旭创（也会通过下游传导提高价格） - 超大规模云服务商将直接囤积材料，绕过传统组件采购，直接从 $AXTI、JX 日本、住友购买 InP 衬底库存，并直接委托给像 $LITE 这样的收发器制造商。 （例如，Meta 将绕过收发器公司，直接去找 AXT 或住友） - 超大规模云服务商将买断生产配额（就像 $NVDA 已经积极“锁定”EML 产能（在 InP 衬底上制造）那样）。 购买衬底制造商或生产配额将成为一种必要，以免被 $NVDA 或 $GOOGL 等竞争对手饿死。 随着 TPU v7 和其他超大规模云服务商在 2026-2027 年爬坡，我们可能会进入衬底的“饥饿游戏”阶段，每个超大规模云服务商都将为了资源配额而相互吞噬对方的增长。 像 $NVDA（拥有创纪录的预分配量）这样的公司可能暂时没事，但其他项目可能会面临重大延误。 思考： 1. 一些超大规模云服务商可能没事（$NVDA）。其他如 $GOOGL 和 $MSFT 需要在其他人之前买断材料和配额。 2. 行业需要加倍投入工程转型，如延长铜的使用寿命和更节省材料的方式如硅光子学(SiPh)。 3. 转向6英寸晶圆以提高良率（能缓解情况，但仍不足以满足需求） 因此，现状是，数万亿美元的 AI 扩展系于一些不起眼的7亿美元公司 $AXTI 和 $SMTOY。除非架构改变，否则 AI 似乎不可避免地会因 InP 衬底产能而触及物理天花板。 2024年的瓶颈是 GPU。2025年是 HBM。2026年，主要约束很可能是光互连，特别是驱动它们的 InP 衬底。 这已成为 AI 基础设施建设中隐藏的瓶颈。
英文原文
The "InP Chokepoint": The Bottleneck of the AI Buildout explanation: The future of $NVDA Blackwell, $META MTAI, $GOOGL TPU, and $MSFT Maia ramp is tied to: A $700M small cap $AXTI and $SMTOY. The AI "Growth" story ends in 2026 if there's no solution to InP. Here's why: The AI industry started its migrating to photonics for future ASIC/GPU deployments, because copper is hitting a physical limit. However, in doing so, hyperscalers traded the common material for InP (Indium Phosphide), when there's only a few factories capable of producing 6-inch InP wafers at the purity levels required for lasers. Let's take for example Google and their TPU v7 Ironwood program: Google uses Optical Circuit Switching (OCS), in simpler terms, switchboards made of light. For every one of those TPUs in the pod to talk, they require InP-based lasers. $LITE, which works with Google on this, largely depends on InP substrate (eg. AXT/Sumitomo) to make them. If they don't have it Google's entire Ironwood program doesn't just "slow down", it hits the wall. Modern ASICs/GPUs from $NVDA GB series, $AMZN Trainium, $MSFT Maia, $META MTAI have all made the same bet: Light is the way forward. Now, here's the issue. The entire Western AI roadmap is currently tethered to a $700M small-cap and a single Japanese company that produce majority of the world's InP substrates required for photonics. It's currently a duopoly (rough estimates majority supply ~60% between AXT + Sumitomo), with recent estimates of ~70%+ coming from Sumitomo Electric, AXT, Freiberger, JX, and Visual Photonics Epitaxy (filling in the gaps). Regardless, the entire future AI supply chain is thinner than a needle: - Moomoo Research: InP market is in a state of "global scramble" and "serious supply shortage" NVIDIA GB200 rollout (scale-out still requires tons of InP, not NVL72 within-the-rack comm). - Demand for high-speed transceivers today probably exceeds the supply by almost a factor of two (LightCounting) - Seeing record booking, but explicitly "supply-constrained by InP lasers" ( $COHR CEO Q3 ER) - McKinsey: 40% to 60% shortfall for 800G modules and a 30% to 40% shortfall for 1.6T modules. And these reports are likely understanding + very conserative given the demand ramp. Even going off Microsoft's projections on Maia ramp, ( est. 1M+ Maia by 2027 on UBS $MRVL note), with 2 million+ units of 1.6T transceivers over the next year, this volume is so large it represents a double-digit percentage of global substrate output. The projected "exponential growth" of AI is about to collide with the reality of critical material production. So, the "Ironwood", "MTIA" and "Maia" ramps aren't just ambitious, they may be impossible under current material constraints. Even if $COHR, JX Nippon, Sumitomo, $AXTI, and others, ramp up at maximum capacity (eg. $COHR / JX -> 6-inch InP wafers for 4x capacity), they still might not be able to meet the increasing demand from hyperscalers. Especailly with demand spikes occurring, eg. just for $NVDA alone (GB200/GB300 revisions). There are technical solutions like silicon photonics is one solution to bridge the gap, but this still largely requires an external InP laser as the light source. TFLN or quantum dot lasers are many many years away. There's probably no escaping the InP requirements for the next few years. So, the mismatch between chip design and material availability has created a strategic chokepoint, where if you go to the very bottom of the supply chain, very few companies control a majority of allocations, pricing, and supply. This is especially dangerous when compounded with geopolitical risks on US/China relations + export controls. That being said, here's what's probably what's going to happen: - Price Spikes: Prices from $AXTI, JX, Sumitomo will spike significantly -> $LITE, $COHR, Innolight (also increases prices from pass down) - Hyperscalers will directly stockpile materials, bypassing traditional component procurement and buying InP substrate inventory from $AXTI, JX Nippon, Sumitomo, and directly to consign to transceiver manufacturers like $LITE. (eg. Meta would bypass transceiver companies and go directly to AXT or Sumitomo) - Hyperscalers will buy out production allocation ( like $NVDA that has already aggressively "locked in" EML capacity (manufactured on InP substrates). Buying a substrate manufacturer or production allocation would become a necessity to so others like $NVDA or $GOOGL doesn't starve them out. As TPU v7 and and as other hyperscalers ramp up in 2026-2027, we will likely enter a "hunger games" phase for substrates where only each hyperscaler will be cannibalizing each other's growth for resource allocation. Companies like $NVDA (with record amounts of pre-allocation), might ramp be okay for the time being, but others programs would likely face major delays. Thoughts: 1. Some hyperscalers might be fine ( $NVDA). Others like $GOOGL and $MSFT will need to buy out materials + allocation before others do. 2. Industry needs to double down on engineering shifts like copper life extension and more material efficient ways like SiPh. 3. Move to 6-inch wafers for yields (eases things, but still not enough to meet demand) So the way things are now, the multi-trillion dollar AI scaling are tethered to some obscure $700m company $AXTI and $SMTOY. It seems inevitable that AI will hit the physical ceiling because of InP substrate capacity unless architectures change. In 2024, the bottleneck was GPUs. In 2025, it was HBM. In 2026, the primary constraint will likely be the optical interconnect, and specifically, the InP substrates that power them. This has now become the hidden bottleneck of the AI buildout.
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回顾对Lighter的投资决策，并询问对方错过了什么机会。
@Cbb0fe 我记得曾为 Lighter 的 A 轮融资做过分析。尽管我记得当时说过它在技术上并不复杂，但我最终还是投资了。那你错过了什么呢？是私募融资还是代币发行事件？https://t.co/9hnxZY2YFM
英文原文
@Cbb0fe I remember doing an analysis for Lighter’s Series A round. Ended up investing, even though I remember saying it wasn’t technically complex to make. What did you miss out on though? Private funding or token event https://t.co/9hnxZY2YFM
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InP衬底短缺成AI瓶颈，AXTI与SMTOY具关键战略价值。
没错。这正是我向 @sama、@sundarpichai、@satyanadella 及西方 AI 领袖敲响警钟的原因：磷化铟(InP)衬底严重短缺/瓶颈将限制未来涉及光子学的 TPU/ASIC 部署。基于 InP 的收发器/激光器需求远超供应数倍（来源：LightCounting + 麦肯锡）。我们才刚开始 AI 扩张，TPU 相关的 InP 衬底行业已遇瓶颈 -> 被两家企业扼住咽喉：$AXTI、$SMTOY。若贸易战影响 $AXTI，AI 集群扩展将面临材料真空。这两家公司的重要性无与伦比，暂且不论股价。
英文原文
Exactly. You just out why I'm sounding all the alarm bells to @sama, @sundarpichai, @satyanadella and Western AI leaders about huge InP substrate shortages/bottlenecks limiting future TPU/ASIC deployment involving photonics. Demand FAR exceeds supply for InP-based transceivers/lasers by multiple factors (source: LightCounting + McKinsey). We've only started the AI ramp with the TPU and the InP substrate industry is already bottlenecked -> held at chokepoint by two players: $AXTI, $SMTOY If trade wars affect $AXTI, there's just a complete void of available materials to scale AI clusters. There's just incredible importance on these two companies, stock price aside.
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AXTI和SMTOY垄断InP衬底，成西方AI光互连供应链致命瓶颈。
这令人极度警惕的是，西方AI基础设施建设可能会被像$AXTI和$SMTOY这样市值仅7亿美元的小公司扼住咽喉。 磷化铟(InP)衬底曾是电信领域的极小众材料，但随着其成为全球激光器和光互连(Photonics Interconnects)的关键材料，这突然变成了国家安全紧急事件。 我不确定顶级供应商是否意识到了这一点，或者至少没有意识到问题的规模（例如，与$LITE签约时并未深入考察Lite的材料供应商），因为供应链正被两家公司严重卡脖子。 以Google TPU v7的量产为例，由于他们的芯片组使用共封装光学(CPO)，几乎完全依赖光子学，这对InP供应链造成了前所未有的压力/依赖，而这种依赖在几个月前根本不存在。 随着铜互连触及上限，AI行业对AXTI的依赖本质上变成了对某家供应所有材料的小盘股的“单点故障”。 我看的不是营收数据，这种依赖关系简直荒谬，1.6T网络架构直接瘫痪。 我不确定企业接下来该怎么办，我确信他们会尝试囤积材料或签订多年协议，但无论如何，这两家公司掌握着所有主动权。
英文原文
That’s what’s so incredibly alarming, that the Western AI buildout might be held at choke point by an obscure $700m company like $AXTI and $SMTOY. InP substrates were incredibly niche for telecom, but it’s suddenly a national security emergency as it became the material used for the world’s lasers and optional interconnects. I’m not quite sure the top level vendors realized this or at least didn’t realize the scale of this issue (eg. Signing agreements with $LITE without going deeper into the material suppliers for Lite), as the supply chain is incredibly becoming choke pointed by two companies. Google’s TPU v7 ramp for example placed an unprecedented strain/dependency on the InP supply chain that simply didn't exist a few months ago, since they use OCS for their chip pods, which is almost all in on photonics. As we’ve hit the upper limits with copper, the AI industry's reliance on AXTI is essentially a "single point of failure” on some small cap that supplies the materials for everything. I’m not looking at revenue numbers here, this dependency is just absurd, the 1.6T networking just breaks. I’m not sure where companies go from here, I’m sure they’ll try and hoard materials or secure multi-year agreements but either way two companies hold all the cards.
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磷化铟供应高度集中，成为AI基建关键瓶颈。
这是多方面的。然而，磷化铟(InP)的情况极其极端，因为 $AXTI 和 $SMTOY 控制了全球约 60%以上的这一关键供应。 行业从铜向光子学的转变，在整个建设过程中造成了这种结构性的单点故障。 超大规模数据中心中的每一个光收发器/互连设备，无论是 Google 的 TPU、NVIDIA 的共封装光学(CPO)路线图，还是 AWS/Meta 的网络，都需要基于磷化铟(InP)的组件。 这就是瓶颈的定义。 整个万亿美元 AI 建设的未来，取决于某只市值 7 亿美元的随机仙股和日本工业巨头的稳定性。
英文原文
It's multifaceted. However, InP is EXTREME because $AXTI and $SMTOY control roughly 60%+ of this critical global supply. The industry's shift from copper to photonics has created this structural single point of failure on the entire buildout. Every optical transceiver/interconnects in hyperscaler data centers from Google TPUs, NVIDIA's CPO roadmap, AWS/Meta networks requires InP-based components. This is the definition of a bottleneck. The future of the entire trillion dollar AI buildout depends on the stability of some random $700m penny stock and a Japanese industrial giant.
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InP衬底成AI供应链瓶颈，$AXTI等公司议价权极大。
这由你自己去判断。我只是指出，两家公司（其中一家市值仅6亿美元）恰好是近期整个AI交易的关键瓶颈。历史上，磷化铟(InP)衬底是一种廉价的大宗商品。而现在……它们不再是了。如果每个花费数千亿美元购买GPU/ASIC的超大规模数据中心(hyperscaler)都无法在没有价值2000万美元的InP的情况下运转，那么像$AXTI这样的公司理论上可以将价格提高5倍，而这对于整体支出来说只是零头。你还需要考虑中国带来的巨大地缘政治风险，但如果整个建设进程被一两家公司的瓶颈所限制，60亿美元的市值通常只是微不足道的零钱。
英文原文
That’s for you to figure out. I’m just highlighting how two companies (one of which is worth $600m) happens to be the bottleneck of the entire AI trade in the near future. Historically InP substrates were a cheap commodity. And now… they’re not. If every single hyperscaler spending hundreds of billions of GPUs/ASICs can’t function without $20m of InP, companies like $AXTI can theoretically raise prices 5x and it would be a rounding error. There is a massive geopolitical risk with China for you to consider too but $600m MC is typically hilarious pocket change if the entire buildout is bottlenecked by one or two companies.
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谢谢。我们可能暂时看不到磷化铟(InP)衬底瓶颈，但随着超大规模云服务商ASIC（TPU、Trainium、Maia等）放量，预计2026年中将出现类似存储的供应紧张。这并不意味着材料供应商应像$LITE那样估值，但整个未来AI建设存在单一故障点，且源自$AXTI这样一家市值仅6亿美元的小公司，这很有趣。
英文原文
Thanks, we might not see a InP substrate bottleneck yet, but we’ll likely see it when hyperscaler ASICs (TPU, Trainium, Maia, etc.) ramp up -> supply strains like memory mid-2026. That doesn’t quite mean material providers should be valued like $LITE, but the fact that the entire future AI buildout has a single point of failure that comes from a small $600m company like $AXTI is amusing.
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因AI供应链瓶颈逻辑，做多光子股并提示AXTI地缘风险。
披露：我在光子学领域持有 $LITE、$AAOI 和 $AXTI 的头寸。 从我个人的思考过程来看，如果我观察到整个 AI 行业以及像 $LITE 和中际旭创(Innolight)这样的玩家，都被一家市值不足 6 亿美元（甚至低于一家尚未盈利的 LLM 初创公司）的企业所瓶颈制约，我会做多。 下行风险包括：如果中国希望限制 $AXTI 在美国市场，可能会改变其所有权稀释结构。
英文原文
Disclosure: I have positions in $LITE, $AAOI, and $AXTI in the photonics sector. From my own personal thought process, if I see the entire AI industry and players like $LITE and Innolight bottlenecked by some $600m company worth less than a new pre-revenue LLM startup, I’m long. There is downside risk including changing ownership dilution structures if China wants to restrict $AXTI in US markets.
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HBM（高带宽内存）在2025年是一个关键瓶颈，我们从$MU和SK海力士身上看到了这一点。 正在研究未来超大规模云计算厂商ASIC（专用集成电路）部署所使用的组件，整个行业正在向光子学（Photonics）转型。 如果我们深入该供应链的底层，用于INP（绝缘体上铟磷）基板的供应商只有两家公司。想到这一点真是荒谬。 对于像$AXTI这样的公司来说，这可能是一个巨大的市场机会，但仅从国家安全风险的角度来看，这是一个需要被审视的疯狂瓶颈。虽然有像$COHR这样的公司，但远未达到AI基础设施建设所需的规模。
英文原文
HBM was a critical bottleneck in 2025 and we've seen that with $MU and SK Hynix. Just researching components used for future hyperscaler ASIC deployments, the whole industry is moving to photonics. If we go to the bottom of that supply chain it's just two companies for INP substrates. Which is absurd to think about. It could be a huge market opportunity for investors for stuff like $AXTI, but just in terms of national security risk, it's just a crazy bottleneck that needs to be looked at. There's companies like $COHR, but nowhere near to scale required for AI buildout.
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AXTI和住友垄断InP衬底，或成AI光子化最大瓶颈。
警告：整个AI行业可能会受到两家公司的瓶颈制约： 1. $AXTI（市值7亿美元） 2. $SMTOY（市值317亿美元） 这两家公司控制了全球60-70%以上的磷化铟(InP)衬底市场。 未来$NVDA、$GOOGL TPU v7集群、$META、$MSFT、$AMZN等超大规模数据中心集群都需要基于InP的激光器和接收器。 $AVGO、$LITE、$COHR使用电吸收调制激光器(EML)用于800G/1.6T光模块、分布反馈(DFB)激光器和其他光基础设施。 没有InP衬底，供应链就会停滞。 在查看了从TPU到Maia的物料清单(BOM)后，看起来未来的专用集成电路(ASIC)+GPU+超大规模部署严重依赖光子学。 而这两家供应商可能会冻结全球InP衬底市场，涵盖几乎所有领域： - 超大规模光器件（TPU集群等） - 光模块（5g，数据） - 激光雷达(LiDAR)（自动驾驶出租车，无人机，军事） - 光模块（互连集群） - 硅光子学激光芯片（英伟达未来的共封装光学(CPO)和英特尔/博通硅光子学引擎使用InP连续波激光阵列。） 由于这些公司占据了市场供应的大多数： -AXTI（估计~30-35%） -住友（估计~30%） - JX日本（估计10-15%） 仅此而已。（例如，Yole 2021年的行业报告指出“住友电气+AXT共同拥有‘超过75%’的InP衬底市场”） 超大规模/AI正在向光子学发展，但整个AI行业是脆弱的。 如果$AXTI或$SMTOY中的任何一家停止供应材料，整个未来的AI建设就会瘫痪。更疯狂的是，一家7亿美元的公司可能成为这一切的中心。 随着AI行业向光子学转变，InP衬底可能会成为与高带宽内存(HBM)并列的最大瓶颈之一。
英文原文
Warning: The entire AI industry will likely be bottlenecked by two companies: 1. $AXTI ($700M) 2. $SMTOY ($31.7B) Which both control 60–70%+ of the world's InP substrates. Future $NVDA, $GOOGL TPU v7 pods, $META, $MSFT, $AMZN hyperscaler clusters require InP-based lasers and receivers. $AVGO, $LITE, $COHR use for EMLs for 800G/1.6T transceivers, DFB lasers, and other optical infra. Without InP substrates, the supply chain falters. After looking at TPU BOM to Maia BOM, it looks like future ASICs + GPUs + hyperscaler deployments are heavily reliant on photonics. And two vendors could freeze the global InP substrate market covering nearly all of: - Hyperscaler optics (TPU pods, etc) - Optical transceivers (5g, data) - LiDAR (robotaxis, drones, military) -Optical Modules (interconnect clusters) - Silicon photonics laser dies (Nvidia’s future co-packaged optics and Intel/Broadcom SiPh engines use InP CW laser arrays.) Since these companies make up majority of the market supply: -AXTI (est. ~30–35%) -Sumitomo (est.~30%) - JX Nippon (est. 10-15%) That’s it. (eg. 2021 industry note from Yole states that "Sumitomo Electric + AXT together had “more than 75%” of the InP substrate market") Hyperscalers/AI are moving toward photonics but the entire AI industry is fragile. If either $AXTI or $SMTOY stop supplying materials, the entire future AI buidlout gets crippled. It's even crazier that a $700m company could become the the center of it all. InP substrate will likely one of the biggest bottlenecks alongside HMB as the AI industry shifts to photonics.
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承认招聘初筛存在学历偏见，后续则公平竞争。
@pepemoonboy 说实话，所有人（包括我自己）都有轻微的学历偏见，在初筛面试时会优先筛选拥有硕士(MS)学位而非学士(BS)学位的候选人。过了这一关之后，大家就公平竞争了。
英文原文
@pepemoonboy Tbh everyone (myself) included have a slight credentialism bias and would screen a MS over BS degree for first round interviews. After that it’s fair game.
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博主回复多位用户，表示已无法退出。
@RJCcapital @pepemoonboy @DeepValueBagger @moninvestor @babyfolio @amitisinvesting 你已经无法退出了 https://t.co/Odm6DsI1uo
英文原文
@RJCcapital @pepemoonboy @DeepValueBagger @moninvestor @babyfolio @amitisinvesting You can’t back out anymore https://t.co/Odm6DsI1uo
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接受投资挑战，提议汇总参赛者操作并询问Robinhood功能支持。
@_stockResearch @pepemoonboy @RJCcapital @DeepValueBagger @moninvestor @babyfolio @amitisinvesting 挑战接受。我想知道是否有简单的方法汇总大家在比赛中各自操作的对象。比如 @pepemoonboy、@_stockResearch、我自己以及其他人。如果 @vladtenev 能为 Robinhood Social 设置相关功能，我会使用 Robinhood 来进行。
英文原文
@_stockResearch @pepemoonboy @RJCcapital @DeepValueBagger @moninvestor @babyfolio @amitisinvesting Challenge accepted. I wonder if there’s an easy way to aggregate who everyone is doing for the competition. Like @pepemoonboy. @_stockResearch, myself, and others. I’ll use Robinhood for this if @vladtenev can set up something for Robinhood Social.
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博主回应评论，原计划举办CSP投资竞赛
@RKLBMan 说得在理，原本以为搞个云服务提供商(CSP)大比拼让大家参与会很有趣，看看大家表现如何
英文原文
@RKLBMan That’s fair, thought it would be fun to have a CSP contest between everyone and see how people perform
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博主互动，无实质内容。
@RKLBMan 🐥
英文原文
@RKLBMan 🐥
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博主发起10万美元期权卖出公开对决，自信能战胜多位网红。
我挑战每一位FinX（金融X平台）网红在2026年进行期权卖出对决。我们都从10万美元起步，并公开更新卖出看跌期权（writing puts）的操作。我说这话是因为我有信心能战胜：@pepemoonboy @RJCCapital @DeepValueBagger @moninvestor @babyfolio @amitisinvesting @yianisz @Agrippa_Inv @StockSavvyShay @BitcoinAIGuy @RKLBMan @Sandeman52 @AlvaroMysterio 以及其他人。
英文原文
I challenge every single FinX influencer to an option selling duel in 2026. We all start with $100K and post public updates writing puts. I say this since I’m confident I will win against: @pepemoonboy @RJCCapital @DeepValueBagger @moninvestor @babyfolio @amitisinvesting @yianisz @Agrippa_Inv @StockSavvyShay @BitcoinAIGuy @RKLBMan @Sandeman52 @AlvaroMysterio and everyone else.
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博主承认错误并准备发布更正。
@yinyang7z 你说得对，让我发布一个更正。
英文原文
@yinyang7z You’re right let me issue a correction
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看好LITE在ASIC及OCS中的核心地位，以及AAOI在Maia放量中的潜在机会。
@jvthed210725 $LITE 是个人最看好的标的，因为它在每一款 ASIC 中都是核心组件，且在类似 TPU 的光共封装(OCS)架构中，其物料清单(BOM)占比会显著提升。 $AAOI 与 Maia 和 Trainium 的放量呈杠杆关系。根据瑞银(UBS)及其他研究机构的报告，Maia 在 2026-2027 年有望实现百万级以上的出货量爬坡，因此这是一个被低估的潜在机会。
英文原文
@jvthed210725 $LITE is personally my favorite since it’s central to every ASIC + gets much higher BOM share with OCS architectures like TPU. $AAOI is levered Maia and Trainium ramp and we should get Maia 1M+ ramp 2026-2027 as per UBS note + other research firms, so it’s hidden opportunity
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评论NVDA收购案，指出挑战者常因威胁领导者而被收购。
@JonathanRoss321 恭喜完成对 $NVDA 的 200 亿美元收购。我原本有些希望你会成为颠覆者并继续独立扩展 LPU，但我想，当任何公司成为对行业领导者的威胁时，他们就会被收购。
英文原文
@JonathanRoss321 Congrats on the $20B $NVDA acquisition. I was sort of hoping you would be the disruptor and continue scaling the LPU independently but I guess when any company becomes a threat to the leader they get bought out.
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博主表示暂不了解SIVE，认为其非主要玩家但会研究。
@Plaskpojken 我目前对 $SIVE 还一无所知。$POET 尚非行业巨头，因此作为其衍生项目，Sivers 大概率不会是主要玩家。不过我会去研究一下。
英文原文
@Plaskpojken I don't know anything about $SIVE yet. $POET isn't exactly a big name yet so by derivative, Sivers likely wouldn't be a major player. But I'll give it a look.