AMZN亚马逊
5看多0看空24提及
Serenity @aleabitoreddit
专注 AI 光通信与半导体供应链研究，擅长从产业链与公司基本面寻找高赔率机会。长期跟踪 CPO 与光模块产业链，持续输出 SIVE、AAOI、LITE、POET 等标的的深度观点。
结论速览
AMZN 整体偏多（看多 5 · 看空 0）
作为Agility Robotics的投资者之一，将受益于人形机器人公司不断增长的需求。
最近发言：2026/08/24 11:35 · 信心分 4/10
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历史观点（29 条，最新在上）
- English · 原文$XPEV carves out its robotics unit and raises >$900M at $6.3B+ valuations. This is following’s Unitree IPO, which now has a ~$35-$36B MC. Then there’s $NVDA / $AMZN backed Agility… at a $2.5B premoney valuation. Which I’d argue is actually further ahead in commercialization than Xpeng. Regardless, humanoids + physical AI sector funding is really taking off.中文 · 翻译$XPEV 剥离了机器人部门，并以超过 63 亿美元的估值融资了 9 亿多美元。 这是在 Unitree IPO 之后发生的，Unitree 现在市值约为 350-360 亿美元。 还有 $NVDA / $AMZN 支持的 Agility… 投前估值 25 亿美元。我个人认为，它在商业化方面实际上比小鹏更领先。 不管怎样，人形机器人 + 实体 AI 领域的资金投入真的爆发了。
- English · 原文$MRVL gives $GOOGL options to buy $12.2B of the company. "The Marvell-Google deal covers a broad range of technologies used with TPUs, including processors that run AI models, manage data storage and move information across networks." Which could translate into ~$120 billion in revenue through 2033. Marvell also has separate warrants with $AMZN after their Celestial acquisition (for purchases of photonic fabric). Remember the good times when Jensen said Marvell would be the next $1T+ company? Seems Nvidia knew Marvell was "networking" its way into all the hyperscalers with warrants.中文 · 翻译$MRVL 授予 $GOOGL 期权，可以购买价值 122 亿美元的公司股份。 "Marvell 和 Google 的这笔交易涵盖了广泛的技术，用于 TPU，包括运行 AI 模型、管理数据存储和在网络中传输信息的处理器。" 这有望在 2033 年前带来约 1200 亿美元的
- English · 原文Unitree (688836) is now public. And is valued at ~$53.3B, after rising +492.18% We finally have a major public company benchmark for humanoids. For reference, Agility (backed by $NVDA, $AMZN) via $CCXI is expected to go public at $2.5B premoney valuation Q4. $TSLA is $1T+, but Optimus is wrapped inside a much larger company. But I think Unitree showed that the demand for pure play humanoid players is much larger… than people expected in public markets.中文 · 翻译Unitree (688836) 现在上市了。 并且在上涨 492.18% 之后，估值达到了约 533 亿美元。 我们终于有了一个人形机器人领域的重大上市公司基准。 作为参考，Agility (由 $NVDA、$AMZN 支持) 通过 $CCXI 预计将在第四季度以 25 亿美元的投前估值上市。 $TSLA 市值超 1 万亿美元，但 Optimus 被包裹在一家大得多的公司里面。 但我认为 Unitree 表明，公开市场对纯粹的人形机器人公司的需求远比人们预期的要大得多……
- English · 原文@tRbW6qAUT717891 I can't buy A-Shares, so I'm sticking with US markets. Agility via $CCXI( $NVDA, $AMZN, Softbank backed) is my personal exposure to humanoids. But I'm cheering on everyone who won the lottery for Unitree shares.中文 · 翻译@tRbW6qAUT717891 我买不了A股，所以还是专注美股吧。 通过 $CCXI ( $NVDA、$AMZN 和软银投资的) 投资 Agility，是我个人投资人形机器人赛道的途径。 但我还是为所有中签宇树科技股票的朋友们欢呼。
- English · 原文uhhh... the Unitree IPO is more than 8000 times oversubscribed by retail investors. The demand for pure play humanoid companies is absolutely enormous? I'm personally in the US-based Agility Robotics club (Softbank, $NVDA, $AMZN, Foxconn, etc), at $2.5B premoney via $CCXI. And my take is that Unitree likely opening at $30B+ (from pre-ipo perps), might bring the leading US players some more attention in a week or two. Regardless that's just absurd demand.中文 · 翻译呃……宇树科技这次IPO，散户认购超额了8000多倍。 所以，市场对纯粹做人形机器人的公司，需求简直是海量吗？ 我个人是属于美国那边的 Agility Robotics 俱乐部（有软银、$NVDA、$AMZN、富士康等大佬投资），估值是 $2.5B 投前（通过 $CCXI 参与）。 我个人看法是，宇树科技可能要以 $30B+ 的估值开盘（看它IPO前那些私募份额），这或许能让美国那边领先的几家公司在接下来一两周里获得更多关注。 不管怎么说，这需求简直太离谱了。
- English · 原文Today I'm writing a weekend guide on how to do DD when shorting $NBIS: First, you look at hyperscaler earnings for AI cloud read through: > $GOOGL: reports record AI cloud demand + backlog + margin increases from earnings > $AMZN: reports record AI Cloud demand + backlog + margin increases from earnings > $META: reports higher than expected prices for available capacity from earnings. Now, time to look at Nebius: -> $NBIS: Growing hundreds of percent to $7-9B ARR by Q4. Growing margins, and guided 4GW+ contracted power. -> Sees Uber/Waymo splitting, putting more focus on Avride -> Sees Clickhouse growing rapidly every quarter. Okay looks bad! But next, you need a hedge? -> Wow! A $NIKE brand executive, after the stock dropped 75% over the past 5 years, went to $LULU to save that brand next? Lululemon seems good. Conclusion: Short Nebius and go long on $LULU中文 · 翻译今天我来写一篇周末指南，教你做空 $NBIS 时怎么做尽职调查（DD）： 首先，你要看看那些超大规模云服务商（hyperscaler）的财报，从中解读AI云业务的表现： > $GOOGL：财报显示AI云需求创纪录、积压订单量大增，利润率也提高了。 > $AMZN：财报显示AI云需求创纪录、积压订单量大增，利润率也提高了。 > $META：财报显示，可用产能的价格超出了预期。 好了，现在来看看 Nebius： -> $NBIS：到第四季度，年化经常性收入（ARR）将增长几百个百分点，达到 70-90 亿美元。利润率也在增长，并且指引了 4GW+ 的合同电力。 -> 看到 Uber/Waymo 正在分拆，更多精力放在 Avride 上。 -> 看到 Clickhouse 每个季度都在快速增长。 好了，看起来不妙！但接下来，你需要对冲吗？ -> 哇！一个 $NIKE 的品牌高管，在 $NIKE 股票过去五年跌了 75% 之后，接下来竟然去了 $LULU 拯救那个品牌？Lululemon 看起来不错。 结论：做空 Nebius，做多 $LULU。
- English · 原文As a earnings recap: $AMZN, $META, $GOOGL, and $MSFT guided a 2026 combined capex forecast to ~$720-$745 Billion. Up from $695-$725B Billion previously. Amazon: $220B Google: $195B-$205B Meta: $130B-$145B Microsoft: $175B We've already seen significant deleveraging and retail/institutional margin liquidations (maybe it continues for more time, who knows). But medium-long term, I'm not quite sure how anyone can be bearish the upstream semis or neoclouds. Given each hyperscaler has flagged either compute shortages, rising cloud demand + pricing power, or increased spending for chips/networking. My "bottleneck" thesis with many of these upstream semi supply chains is that when trillions in capital flows into things from InP substrates or memory (which were both treated as cheap commodities) or even energy. Lot of these current AI names that were treated as useless before in telecom cycles or even toilet sellers. Gets rerated when their inflection period hits and capex flows into their balance sheets. As seen with $NVDA GPUs past few years, memory this year, CPUs/MLCCs next few years, CPO in 2027, Glass Substrates in 2027, 800V in 2027, and so on.中文 · 翻译财报总结一下：$AMZN、$META、$GOOGL 和 $MSFT 预计，到2026年，它们的合计资本开支将达到约7200亿至7450亿美元。 比之前预期的6950亿到7250亿美元有所提高。 亚马逊：2200亿美元 谷歌：1
- English · 原文Just a TLDR of this week: Media: Hyperscalers overbuilt and are selling excess compute. -> $GOOGL, $MSFT, $META, and $AMZN: Demand for compute far exceeds capacity. Capex go brrr. Institutions: Emergency rate hike or 3x rate hikes, it's all over. -> Kevin Warsh: No rate Hike. Retail/Media: AI is crashing because it's a bubble. -> Citadel looking to buy AI leveraged hedge funds positions: 👀 Jim Cramer: Sell all your leveraged DC stocks. -> Koreans: SK Hynix +30%, Samsung +26.81%中文 · 翻译本周总结一下： 媒体说法：超大规模云服务商建多了，正在甩卖多余算力。 → $GOOGL, $MSFT, $META, 和 $AMZN：对算力的需求远超我们现有产能。资本开支一路猛增。 机构说法：紧急加息或加息三次，一切都完了。 → Kevin Warsh：不会加息。 散户/媒体：AI要崩盘了，因为这就是个泡沫。 → Citadel 正在考虑买入那些加了AI杠杆的对冲基金仓位：👀 Jim Cramer：卖掉所有你加了杠杆的DC股票。 → 韩国人：SK Hynix +30%，Samsung +26.81%
- English · 原文$AAPL looks to acquire AI chip companies for running AI (Source: The Information) Right now, $MSFT, $META, Amazon, Google are carrying AI capex spend. But what if Apple joined the others after M&A? A possible scenario is that they revise capex largely upward for their own AI buildout. Since they probably witnessed Google cutting off Meta from compute constraints... or what happens when you partner with OpenAI for LLMs. Then learned how important it is to have your own infrastructure. This scenario would be quite bullish thematically from optical networking to foundries and something markets would not expect? We'll see what happens.中文 · 翻译$AAPL 打算收购 AI 芯片公司来运行人工智能 (来源：The Information) 目前，$MSFT、$META、亚马逊、谷歌正在承担大量的 AI 资本支出。 但如果苹果在并购之后也加入其中，会怎么样呢？ 一种可能的情况是，他们会大幅上调资本支出，用于建设自己的 AI。 因为他们可能目睹了谷歌因为算力限制而切断了 Meta 的资源……或者也看到了与 OpenAI 合作开发大模型时会发生什么。 然后就明白了拥有自己基础设施的重要性。 这种情景对相关主题投资会是重大利好，从光网络到晶圆代工都会受益，而且这可能是市场没有预料到的？我们拭目以待。
- English · 原文Regarding $AMZN RNG + OpenAI’s MRC and VCSELs. In what appears to be an indirect response on B. Riley's $AAOI sell report regarding optimizations that "flattens networks and cuts transceiver TAM 40-50%". Rosenblatt TLDR: They've already modeled for this, even though each XPU may use fewer transceivers. The number of XPUs is growing so quickly that total optical demand should still rise. On lasers architectures for CPO: VCSELs are useful as a credible bridge for NPO/short reach. Ideal architecture though for CPO is UHP CW over other lasers, and cites Broadcom for that statements. Which happens to supports my core $SIVE thesis. I feel like Rosenblatt and I share the same views on a lot of things, I like the way they roll.中文 · 翻译关于 $AMZN 的 RNG + OpenAI 的 MRC 以及 VCSELs。 这看起来像是对 B. Riley 针对 $AAOI 的卖出报告的间接回应，报告中提到了“网络扁平化并削减 40-50% 的收发器总潜在市场 (TAM)”的优化措施。 Rosenblatt 的一句话总结：他们已经把这个因素考虑进模型了，即使每个 XPU 可能使用的收发器数量会减少。 XPU 的数量增长如此之快，以至于光器件的总需求仍然应该会上升。 关于 CPO 的激光器架构：VCSELs 作为 NPO/短距离传输的可靠过渡方案很有用。 不过，CPO 的理想架构是 UHP CW，优于其他激光器，他们引用了 Broadcom 的相关声明。这恰好支持了我对 $SIVE 的核心论点。 我觉得 Rosenblatt 和我在很多事情上观点一致，我喜欢他们的风格。
- English · 原文Literally just Elon. - The guy + $SPCX is basically the only reason why US is in the lead with Space. - $TSLA led EV commercialization in US He's sometimes off with timeframes, but right directionally, so pretty sure he can make US robotics #1 again. I personally own $CCXI though since I think Agility currently has more pure play exposure for mass production/commercialization through US supply chains + $MELI/ $AMZN.中文 · 翻译就马斯克一个人。 - 他和 $SPCX 基本上是美国在太空领域领先的唯一原因。 - $TSLA 引领了美国电动汽车的商业化。 他有时候对时间表的判断会有点偏差，但大方向是对的，所以我很确定他能让美国机器人在全球再次称霸。 不过我个人持有 $CCXI，因为我觉得 Agility 目前通过美国供应链以及跟 $MELI/$AMZN 的合作，在量产和商业化方面有更纯粹的业务敞口。
- English · 原文It’s interesting to witness psychology around valuation anchoring + scarcity. Retail, for example, are buying Figure, last valued at ~$39B through CEFs… At $158B, since it’s private, round 4x valuations. Then Agility Robotics $CCXI, which has broader commercialization. Is at ~$4.3B pre-money and publicly available before the name change. At closer pricing that $AMZN, $NVDA, SoftBank, and Foxconn vaulted it at. Yet some end up paying 4-5x prices of already hiked private investor rounds for exposure… I’m convinced if Agility raised a very small private round at $39B as well from $2.5B (which it definitely could), to set a valuation anchor. Investors would be foaming in the mouth for a private allocation, just due to psychology rather than underlying fundamentals. We’ve also seen this anchoring with $SPCX recently at $1.75T. Peak market inefficiency? Or lack of knowledge from retail?中文 · 翻译看到估值锚定和稀缺性引发的心理现象，真有意思。 比如，散户正通过封闭式基金（CEFs）购买 Figure，这家公司上次估值大概是 390 亿美元左右… 在 1580 亿美元的估值上，因为它是私有公司，差不多是（之前）4 倍的估值。 然后是 Agility Robotics $CCXI，这家公司的商业化前景更广。 它的投前估值大概是 43 亿美元，而且在公司改名前是公开可得的。当时的定价，更接近于 $AMZN、$NVDA、软银和富士康给它抬的那个价格。 然而，有些人最终为了获得敞口，支付了比已经涨过价的私募轮高出 4-5 倍的价格… 我确信，如果 Agility 也以 25 亿美元到 390 亿美元的估值进行一轮小规模私募（它绝对能做到），以此设定一个估
- English · 原文Yep, $AMZN looks like the clear winner in physical AI shift. I think the Amazon ecosystem... is probably going to the catalyst for robotics players compared to others in the Google/Meta ecosystems. I kinda see parallels to the $GOOGL TPU effect on suppliers like $LITE or Mediatek, but for robotics... like Agility. Still early though.中文 · 翻译嗯，$AMZN 看起来是实体AI转型中明显的赢家。 我觉得亚马逊的生态系统... 相较于 Google/Meta 生态系统里的其他公司，可能会成为机器人领域玩家的催化剂。 我有点看到这跟 $GOOGL TPU 对 $LITE 或联发科这类供应商的影响很相似，不过这次是针对机器人领域... 比如 Agility。不过现在还早。
- English · 原文Looks like there's a high power cylindrical cell / BBU cell shortage (aka: bottleneck): - Samsung SDI supplies the cells to Simplo, which assembles them into BBUs for $META to $AMZN. - As demand from data centers has increased, production of Samsung SDI's cylindrical cells has also risen sharply. - Industry sources said Panasonic, Samsung are experiencing supply shortages for BBU cells. So main beneficiaries imo look like: - Samsung SDI (KRX: 006400) / Panasonic Energy as cleaneset winners - Murata (6981) / this keeps showing up everywhere with MLCC and others lol - LG Energy (KRX: 373220) / incoming There's not really much direct US players? But adjacent read through like $VRT, $ETN or $BWA / $ENS. Not quite in my domain emphasis cup of tea though. I wouldn't conflate this as all shortages having a massive TAM, but there could be opportunities...中文 · 翻译看来，大功率圆柱形电池 / BBU 电池好像短缺了 (也就是：瓶颈)： - 三星 SDI 向 Simplo 供应电池，后者将电池组装成 BBU，供货给 $META 和 $AMZN。 - 随着数据中心需求的增加，三星 SDI 圆柱形电池的产量也大幅上升。 - 业内人士称，
- English · 原文@fivepointscap Yep, $SE $MELI $JD $AMZN and the other e-commerce giants are the most obvious beneficiary of physical AI push that I can think of Given they can optimizing opex immediately with robotics. Names like $META are kinda less clear.中文 · 翻译@fivepointscap 对，$SE、$MELI、$JD、$AMZN 以及其他电商巨头，是我能想到的实体AI推进最明显的受益者。 因为他们可以用机器人即刻优化运营成本。像 $META 这样的公司就有点不那么明确了。
- English · 原文What's this PTSD about SPACs? I only care about the company fundamentals. $NVDA, Softbank, $AMZN and others don't just back some random crapco. And Foxconn is funding the PIPE. It's just for faster listing, especially giving US investors alternatives to the extremely anticipated up Unitree IPO coming out around the same timeframe.中文 · 翻译对 SPAC 怎么会有这种 PTSD？我只关心公司的基本面。 $NVDA、软银、$AMZN 等公司可不是随便投些垃圾公司的。而且富士康正在为 PIPE 提供资金。 这只是为了更快上市，特别是为美国投资者提供一个替代方案，因为备受期待的 Unitree IPO 也在同期上市。
- English · 原文Agility Robotics is literally the #1 humanoid player in the US in terms of commercialization today imo. Personal Rankings: 1. Agility Robotics via $CCXI 2. $TSLA Optimus ($1T+ company) 3. Figure at $39B from 2025, likely higher now. With Tesla likely taking the lead a year from now. So at $16, you have a ~$4B MC pre-money humanoid player. Which is already inside $AMZN and $MELI (ideal use cases to start out, before step-functioning to general-use), with $AMZN, $NVDA, Softbank, Foxconn, and others as investors. NFA, but at those valuations... there's direct exposure for the first ever humanoid player today, that's likely further ahead than Figure for commercialization. No hard feelings about Robostrategy, but it's over 4x+ NAV: Which would value Figure at $156B... While there's the #1 commercialized humanoid player with Agility at $4B today. So my personal preference is $CCXI.中文 · 翻译在我的看法，Agility Robotics 可以说是目前美国在商业化方面排第一的人形机器人玩家。 个人排名： 1. Agility Robotics （通过 $CCXI） 2. $TSLA Optimus （万亿美元市值以上公司） 3. Figure 2025年估值 390 亿美元，现在可能更高了。 特斯拉很可能
- English · 原文Just a random thought, leading US humanoid players strangely me of the current LLM dynamics: Agility ( $CCXI ) kinda feels like Anthropic for robotics. With $AMZN and $NVDA heavily backing it, ingrained with $GOOGL Deepmind (like TPUs). And it starts off with enterprise commercialization. Optimus is kinda off doing its own thing like xAI. Supported by Tesla/Elon and his visionary roadmap as usual. Figure is like ChatGPT With Microsoft/OpenAI investing (kinda like Microsoft), then ended up kinda competing them by building their own VlA and setting them behind. But ends up top 2 leaders anyway. Boston Dynamics is Gemini Kinda started the entire humanoids thing like transformers with backflip videos. With R&D supported by $GOOGL but somehow let everyone else leapfrog them in commercialization. And then there’s $NVDA just chilling, silently powering the entire humanoids ecosystem.中文 · 翻译随感，美国领先的人形机器人公司，总让我想起现在大语言模型（LLM）的格局，还挺奇怪的： Agility ($CCXI) 有点像机器人界的 Anthropic。 有 $AMZN 和 $NVDA 大力支持，还融入了 $GOOGL Deepmind 的技术（就像 TPUs）。而且它一上来就搞企业级商业化。 Optimus 有点像 xAI 那样，自顾自地在做自己的东西。 一如既往地有特斯拉/马斯克和他的前瞻性路线图做后盾。 Figure 就像 ChatGPT。 有微软/OpenAI 投资（有点像微软），结果却有点和他们竞争起来，自己搞了 VlA，把他们甩在了后面。 不过反正也成了前两
- English · 原文Yep! Agility Robotics is currently my favorite humanoid/robotics position. They're set to be listed on NASDAQ via $CCXI as early as September (per Digitimes). Just for informational purposes: Their V4 humanoid robot is already operating in sites like Amazon. And have V5 slated for mass production next year (they have a 10,000+ /year capacity). Investors include Foxconn, $NVDA, $AMZN, Softbank, and now Serenity. I've been personally waiting for humanoid exposure for awhile (Agility is set to be the first US pure-play listed one) to the point I was actually planning on investing in Unitree's IPO. But I'm glad now I personally have a compelling alternative now since I prefer to invest capital to build up Made in America supply chains (75% of their components are US-sourced from investor desks). There are risks assigned to SPACs such as listing delays, or cancellation. But excited to see what happens next with developments. I do hope this encourages other frontier companies to go public early on.中文 · 翻译好的！Agility Robotics 目前是我最看好的人形机器人/机器人领域的持仓。 他们最早可能在九月通过 $CCXI 在纳斯达克上市（据 Digitimes 报道）。 只是提供信息：他们的人形机器人 V4 已经在亚马逊等地方投入运营。而 V5 计划明年量产（他们有每年超过 10,000 台的产能）。 投资者包括富士康、$NVDA、$AMZN、软银，现在又多了 Serenity。 我个人等人形机器人概念股很久了（Agility 将会是第一家在美国上市的纯人形机器人公司），甚至一度计划投资宇树科技的 IPO。 但我很高兴现在我个人有了一个很有吸引力的替代选择，因为我更喜欢把资金投向建立“美国制造”的供应链（他们 75% 的零部件都来自投资者的美国采购）。 SPAC 会有上市延迟或取消的风险。但我很期待看到后续的发展。 我确实希望这能鼓励其他前沿公司尽早上市。
- English · 原文$GM cuts 1,000 workers and replaces them with 50 robots (Jun 22nd report) Reports also show GM is working on a deal with $NVDA on factory robotics. This is industry validation for robotics, since it likely demonstrates increased opex margins + efficiency from employee automation. Especially from companies like $AMZN to General Motors with assembly/warehouse lines that have high headcount. I think the technology is already here and use cases are already proven. Robotics/Humanoids are just pre-scale right now. The wording from large companies is “assistive robotics”… But in all honesty, it’s here to automate away the human workforce and increase profitability. I don’t think companies want to be paying insurance, salaries, etc. when robots can do a better job, and 24/7, so very sad to see potential job losses in the future from robotics automation. Whether people like it or not; seems like the inflection point for robotics is here.中文 · 翻译$GM 裁员 1,000 人，用 50 台机器人替代（6 月 22 日报道） 还有报道显示，$GM 正在与 $NVDA 洽谈工厂机器人方面的合作。 这对机器人行业来说是实打实的背书，因为这很可能说明，员工自动化提升了运营利润率 + 效率。 尤其是像 $AMZN 到 General Motors 这种装配线/仓库线人头密集的大公司。 我觉得技术已经就位，应用场景也已经得到验证。机器人/人形机器人现在只是还没大规模铺开。 大公司的措辞是"辅助型机器人"……但说实话，它就是来替代人力、提高利润的。 我觉得公司们也不想再掏保险、工资这些成本了，既然机器人能干得更好，还能 24 小时不间断工作。看到未来机器人自动化可能带来的失业，真的很遗憾。 不管人们喜不喜欢；机器人的转折点似乎已经到了。
- English · 原文Robotics is next. Both deal count and investment amounts are skyrocketing per pitchbook March data (source: a16z) Good thing is: the same AI DC exposure often has cross-exposure to humanoid ramp. Like DRAM/NAND with memory (on humanoid inference/storage) or DFB lasers with photonics (FMCW LiDAR vision/sensing). Right now most exposure is upstream component parts… or programs within large players like $AMZN or $TSLA. So global IPO season H2 into 2027 for pure play humanoids/robotics companies is going to be fun.中文 · 翻译机器人是下一个大方向。 根据 PitchBook 三月份的数据（来源：a16z），无论是交易数量还是投资金额都在飙升。 好消息是：那些同样投资 AI 数据中心的人，往往也与人形机器人量产布局有交叉。 比如 DRAM/NAND 与内存（用做人形机器人的推理/存储），或者 DFB 激光器与光子学（FMCW LiDAR 视觉/传感）。 目前大部分敞口集中在上游零部件……或者像 $AMZN 或 $TSLA 这类大玩家内部的计划。 所以，从今年下半年到 2027 年的全球 IPO 季，对于纯人形机器人/机器人公司来说，将会非常有意思。
- English · 原文Fun new information discovery from Poet OSINT community: Seems likely that $POET / $SIVE are going to power a Top-3 hyperscaler (either Amazon, Microsoft, Google). Given a Linkedin update from Ankur Singla (CEO of Lumilens). Who stated their customer is one of the top 3 hyperscalers with their post focusing on CPO/NPO. With that clue, seems more likely the Sivers CW DFB light source path over other EML suppliers given it's CPO Scale Out/NPO. If you don't remember, Sivers is the laser supplier to Poet. And Poet has purchase agreements with Lumilens. Always fun to find major potential breadcrumbs in the wild before they're officially confirmed. (Disclosure, long Sive)中文 · 翻译Poet OSINT 社群挖到的新有趣线索： 看起来 $POET / $SIVE 很可能要拿下全球前三的云巨头之一（亚马逊、微软、谷歌中的一家）。 线索来自 Lumilens 的 CEO Ankur Singla 在 LinkedIn 上的一则更新。 他说他们的客户就是前三的云巨头之一，而且那条帖子的重点是 CPO/NPO。 顺着这条线索，考虑到 PoET 用的是 CPO Scale Out/NPO，Sivers 的连续波 DFB 光源方案比其它 EML 供应商的可能性更大。 如果你忘了提一下：Sivers 是 Poet 的激光光源供应商。而 Poet 和 Lumilens 之间有采购协议。 在官方确认之前，能从公开信息里挖到这种潜在的大线索，总是很有意思。（披露：做多 Sivers）
- English · 原文Don’t quite think “siphoned off” is the correct term. It’s capex for massive revenue increase or margin increase down the line. $AMZN is probably my favorite hyperscaler right now and example to give. Amazon’s headcount is absurd, like ~1.57M. If the capex goes into automating their workforce with LLMs. Then transitioning into physical AI: - things from self driving (deliveries) - robotics (Amazon warehouses, shipping automation). + revenue increase from building out AWS compute with Trainium and possibly selling chips too with the Neocloud strat. It’s probably the clearest path forward compared to every hyperscaler out there. $TSLA optimus use case targets is extremely broad as a pitch, but Amazon already has a specific reason to scale robotics for internal opex optimization. As for $GOOGL, probably 2nd right now, AI capex was necessary for defending its Google Search moat Gemini from ChatGPT They also have Google Cloud revenue with efficient TPUs + can sell TPUs like Nvidia GPUs. Gemini user volumes keep going up (despite the lack of contention in frontier benchmarks); and AI strategy to be working for ad optimization too. But there’s less clear paths with physical AI stuff ig? Microsoft and Meta are still trying to convince the market why capex is necessary, (we’re kinda seeing that in effect with Meta’s 30%+ Y/Y revenue growth), but doesn’t look like they’re convinced. As for market narratives, Microsoft Maia seems to be behind, their AI development was stunted from OpenAi investments, so sentiment is kinda in the ground. But think that will change down the road like the 180 with Google. I’m sure all the hyperscalers are seeing the leader effect right now: If you have the leading LLM, people will keep using it. That LLM gets smarter from all the training data; and that gap might be structural. Which is why everyone is kinda rushing the buildout right now, but for some the immediate incentives seem obvious.中文 · 翻译不太觉得“抽走资金”这个说法准确。 这是为了之后大幅增加收入或利润率做的资本支出。 $AMZN 可能是我目前最喜欢的超大规模云厂商，也可以拿它来举例。 亚马逊的员工人数很夸张，大概有 157 万。如果这些资本支出是用来通过大语言模型实现劳动力自动化。 然后过渡到物理 AI： - 自动驾驶相关（送货） - 机器人技术（亚马逊仓库、航运自动化）。 再加上通过 Trainium 扩展 AWS 算力并利用 Neocloud 策略可能销售芯片带来的收入增长。 跟所有其他超大规模云厂商相比，亚马逊的路径可能是最清晰的。 $TSLA Optimus 的使用场景目标太宽泛，但亚马逊已经有了具体理由来扩大机器人规模，用于内部运营成本优化。 至于 $GOOGL，目前可能排第二，AI 资本支出对于保护谷歌搜索护城河 Gemini 对抗 ChatGPT 是必要的。 他们还有谷歌云的营收，搭配高效的 TPU，也可以像英伟达 GPU 那样卖 TPU。 Gemini 用户量一直在增长（尽管在前沿基准测试上缺乏竞争力）；AI 策略也在为广告优化发挥作用。 但在物理 AI 方面，路径更模糊，我猜？ 微软和 Meta 还在努力说服市场为什么资本支出是必要的（我们其实从 Meta 超过 30% 的同比增长营收中看到了效果），但市场似乎并不买账。 至于市场叙事，微软的 Maia 似乎落后了，他们的 AI 开发因为 OpenAI 的投资而受阻，所以市场情绪基本上跌到谷底。 但我觉得未来会像谷歌那样来个 180 度大转弯。 我敢肯定所有超大规模云厂商现在都看到了领先者效应： 如果你拥有领先的大语言模型，人们就会一直用。那个大语言模型会从所有训练数据中变得更聪明；而这个差距可能是结构性的。 这就是为什么现在大家都在抢着搞建设，但对某些厂商来说，眼前的激励显然更明显。
- English · 原文Trendforce reports that $AMD is actively trying to secure CW laser supply with multiple major procurement orders... Is probably just the start of the bottleneck? There's not much independent capacity in Western supply chains left other than $SIVE or $AAOI and maybe Macom. Especially after Lumentum/Coherent got locked up with multi-year agreements with Nvidia. (disclosure, own Sive and aaoi) Lumentum is already CW laser constrained and is likely buying off Japanese companies like Sumitomo/Furukawa if I had to guess per ER, and those are probably running at max capacity. From the Trendforce report, this is: "to ensure that its future capacity will not be constrained by NVIDIA and other major Cloud Service Providers (CSPs)." I wouldn't be surprised if other hyperscalers like Amazon, Microsoft, and others saw Nvidia / AMD signing LTAs, and are trying to secure capacity next. A lot of it is game theory on not getting choked out by competitors, and looks like AMD is tipping the first domino after Nvidia. But my opinion is that this just goes and show how invaluable this CW laser chokepoint is and the companies are inside it.中文 · 翻译Trendforce 报道说 $AMD 正在积极争取 CW 激光供应，下了好几笔大采购订单…… 这可能只是瓶颈的开始吧？ 西方供应链中，除了 $SIVE 和 $AAOI，可能还有 Macom 之外，已经没多少独立的产能了。 尤其是在 Lumentum/Coherent 和英伟达签了好几年协议，产能都被锁住之后。（披露：持有 Sive 和 aaoi） Lumentum 的 CW 激光供应已经很紧张了，根据财报我猜他们可能正在从住友/古河电工这类日本公司那里采购，而这些公司大概也已经满负荷运转了。 根据 Trendforce 的报告，这是： “为了确保其未来的产能不会受到英伟达和其他主要云服务提供商（CSP）的限制。” 如果亚马逊、微软等其他超大规模企业看到英伟达/AMD 签署了长期协议，然后也开始争取产能，我一点也不会感到惊讶。 很大程度上这是一种博弈论，为了不被竞争对手卡脖子，看起来英伟达之后，AMD 正在推倒第一块多米诺骨牌。 但我的看法是，这恰好说明了 CW 激光这个“瓶颈”有多么宝贵，以及处于这个瓶颈中的公司有多重要。
- English · 原文Other way around, $NVDA bottlenecked the entire industry for EML capacity. And did the same with CW capacity ONCE AGAIN with $LITE, $COHR, and $MRVL (if they have LTA in place with Celestial) I said this a few months ago, we'd see this exact same playbook. But $AMD, $AMZN, $META, and others are just so stupidly slow that they let themselves get bottlenecked. Now there's only a few merchant players like $AAOI, $MTSI, and $SIVE that they all need to fight over.中文 · 翻译反过来看，是 $NVDA 卡住了整个行业在 EML 产能上的脖子。 而且它又干了一次同样的事情——在 CW 产能上，把 $LITE、$COHR 和 $MRVL 也给卡住了（前提是他们跟 Celestial 签了长期协议）。 我几个月前就说过，我们会看到完全一样的剧本。但 $AMD、$AMZN、$META 这些家伙动作慢得离谱，结果让自己也被卡在瓶颈里。 现在只剩少数几家商业玩家了，比如 $AAOI、$MTSI 和 $SIVE，大家都得争着抢。
- English · 原文hmm, i prefer all your upstream chokepoints over $NVDA long term since those will be re-rated the most (nvidia already largest company in the world) pretty sure hyperscaler ASICs would eventually siphon off $NVDA demand like $GOOGL TPU, $AMZN trainium programs. wouldn't be too positive for expontentially compounding revenue growth since hyperscalers were Nvidia's original main revenue stream (even indirect via Neoclouds). But $NVDA's kinda stalling everyone elses buildout by bottlenecking their programs eg. EML/laser capacity agreements years out too. And took stakes in $MRVL / $LITE / $COHR / $INTC etc. making them adopt to $NVDA standards or just owning a large %. So even if they're delaying other programs + their biggest growth vector kinda falls off one day, like how things are shifting already shifting to ASICs for inference. They'll still probably be fine given ownership stakes + will serve companies/countries outside of hyperscaler cash cows (just less revenue)+ made so much before then. But that's probably why p/e keeps going down despite revenues going up, since idk if markets thinks that growth will last forever. Or could be totally wrong and they just keep leapfrogging generation by generation + AI pie keeps growing with Jensen's 4T 2030 capex number.中文 · 翻译嗯，长期来看，我更看好你提到的所有上游瓶颈环节，而不是 $NVDA，因为那些东西的估值重估空间最大（英伟达已经是全球最大公司了）。 我相当确信，超大规模云的 ASIC 最终会分流 $NVDA 的需求，就像 $GOOGL 的 TPU、$AMZN 的 Trainium 项目那样。这对指数级复利的营收增长可不太有利，因为超大规模云本来就是英伟达最初的主要收入来源（甚至通过 Neocloud 这种间接渠道也是）。 不过 $NVDA 也在卡别人脖子，拖慢大家的建设进度，比如把 EML/激光产能协议签到了好几年后。而且它还入股了 $MRVL / $LITE / $COHR / $INTC 等公司，要么让它们采用 $NVDA 的标准，要么直接拿大头股份。 所以，哪怕它拖慢了其他项目 + 自己最大的增长引擎某天会熄火（就像现在推理已经在往 ASIC 转移了）， 考虑到它手里那一堆股权 + 还能继续服务超大规模现金牛之外的公司和国家（虽然收入会少一些）+ 之前早就赚得盆满钵满，它大概率还是能过得不错。 不过，这大概也是为什么它收入一直在涨、市盈率却持续走低的原因——大概市场也不确定这种增长能不能永远持续。 当然，也可能我完全错了，它们就是一代代持续领先 + AI 蛋糕持续做大，配合 Jensen 说的 2030 年 4 万亿 capex 目标。
- English · 原文Yeah… I think all your upstream semi supply chain companies are going much higher. Goldman now expects a combined $5.3 trillion of capex spending for the four largest hyperscalers $GOOGL / $META / MSFT / $AMZN from 2025 to 2030. Revised up from $4.5T from Q1 earnings. “Aggregate capex est. $7.6 trillion between 2026 and 2031.” And it flows upward to these tiny chokepoints like $SIVE for CPO lasers/ $SOI for Silicon Photonics substrates. Leaderdrive/Harmonic for Humanoids components. And so on… Ai names don’t move in a straight line up, but is just the beginning of the next Industrial Revolution as we move from R&D/compute buildout into commercialization from Agents -> Physical AI -> discovery.中文 · 翻译是啊……我觉得你上游所有半导体供应链的公司都会涨很多。 高盛现在预计，从2025到2030年，四大超大规模云厂商 $GOOGL / $META / MSFT / $AMZN 的资本开支总和将达到 5.3 万亿美元。 相比一季度财报时预测的 4.5 万亿，已经上调了。 “2026 到 2031 年，总资本开支估计为 7.6 万亿美元。” 这些资金会向上传导到那些小而关键的瓶颈环节，比如 $SIVE（CPO 激光器）、$SOI（硅光子学衬底），还有 Leaderdrive / Harmonic（人形机器人组件）。 等等等等…… AI 板块不会一路上涨， 但当我们从研发/算力建设阶段走向商业化——从 Agent 到物理 AI，再到科学发现——这仅仅是下一场工业革命的开端。
- English · 原文Ayar’s announcement today with Wiwynn is potentially very material for $SIVE regarding CPO -> rack scale deployments. As Wiwynn cloud clients include $AMZN, $META, $MSFT. And they’ve been in talks for $GOOGL TPU deployments. I think just for some reference architectures it’s around 512+ supernova light sourc a rack. So if $SIVE is the primary laser array supplier (which we expect, given Macom + Lumentum was removed from Ayar’s site). Even modest rack deployments would be very meaningful for revenue. This is just rack scale commercialization potential right now from $SIVE / Ayar / Wiwynn, which won’t show up in revenue financials yet.中文 · 翻译Ayar 今天和 Wiwynn 的声明，对 $SIVE 来说在 CPO -> 机架级部署这条线上，潜在意义非常大。 因为 Wiwynn 的云客户包括 $AMZN、$META、$MSFT。 而且他们一直在跟 $GOOGL 的 TPU 部署谈合作。 我觉得，单看一些参考架构，一个机架大概就要 512+ 个 Supernova 光源。 所以如果 $SIVE 是主要的激光阵列供应商（我们预期是这样，毕竟 Macom 和 Lumentum 已经从 Ayar 的官网上移除了）。 哪怕只是中等规模的机架部署，对营收来说也意义重大。 而这还只是 $SIVE / Ayar / Wiwynn 眼下在机架级商业化上的潜力，暂时还不会体现在财务营收上。
- English · 原文$MRVL earnings were a bullish indicator on the broader CPO theme (and $SIVE as the likely laser supplier). - “Scale-up interconnect represents one of the newest and most strategically important opportunities emerging in AI infrastructure.” CPO thematically go brrr - Confirmation Celestial was selected by T1 hyperscaler for scale up. I’ve found Celestial $AMZN warrants in the past)… so probably Amazon. - Scale-up optics revenue next year should be more than 2x prior ~$150M outlook with Celestial Forward revenue ramp expectations go brrr. - Celestial team plus $MRVL optics team was a “home run”. Marvell sees celestial as growth vector, upstream celestial suppliers go brr - $MRVL is now focused on bringing Celestial to high volume manufacturing. Volume ramp indicator If you don’t recall, there was OSINT mapping $SIVE directly to Celestial, not through $POET. So Celestial forward growth is a volume ramp indicator for Sivers lasers.中文 · 翻译$MRVL 的财报对整个 CPO 主题（以及 $SIVE 作为可能的激光器供应商）来说是一个看涨信号。 - "Scale-up interconnect 代表了 AI 基础设施领域最新、最具战略意义的机遇之一。" CPO 主题直接起飞 🚀 - 确认 Celestial 被一级超大规模云服务商选中用于规模化部署。 我之前发现过 Celestial 的 $AMZN 权证……所以很可能是亚马逊。 - 明年的 Scale-up 光学收入应该比之前约 $1.5 亿的预期翻倍不止，这要归功于 Celestial。 远期营收增长预期直接起飞。 - Celestial 团队加上 $MRVL 光学团队简直就是"全垒打"。 Marvell 把 Celestial 视为增长引擎，上游的 Celestial 供应商们跟着起飞。 - $MRVL 现在专注于将 Celestial 推向大规模量产。 这是放量爬坡的信号。 如果你不记得了，之前有过 OSINT 情报直接指向 $SIVE 与 Celestial 有关联，而不是通过 $POET。 所以 Celestial 的远期增长对 Sivers 的激光器来说就是一个放量爬坡的信号。
在其他光模块产业链标的上也有持续观点
AMZN 之外，以下标的同样收录于其观点库：