GOOGL谷歌 A 类
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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
GOOGL 整体偏多（看多 7 · 看空 1）
谷歌等超大规模提供商对计算能力的需求远超现有产能，推动资本支出增加。
最近发言：2026/08/19 16:54 · 信心分 6/10
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历史观点（33 条，最新在上）
- English · 原文@200pipss Is there something wrong with $GOOGL and $MRVL?中文 · 翻译@200pipss 是 $GOOGL 和 $MRVL 出什么问题了吗？
- English · 原文$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Just some takeaways from $META | $MSFT earnings calls: Microsoft: - Expected to be FCF positive in 2027, despite the increase in capex (extremely positive for AI buildout that it's funded by operating income) - "Free cash flow was $19.6 billion, reflecting higher capital expenditures" - Quartely capex was $41B, roughly 2/3rds were "short lived assets, primarily CPUs and GPUs" - Expects capex spend will be over $50 billion for next quarter - Capex Guidance at ~$175 billion and 2027 capex roughly the same. Spending plans unchanged and in line. - "Extending the estimated useful life of our data centers from 15 to 25 years" - "We will be among the first cloud providers to deploy next generation rack-scale AI infrastructure based on $AMD Helios and $NVDA Vera Rubin" - "Customer demand continues to exceed available capacity" Meta: - Capex $130-$145 billion (narrowed range), from $125B-$145B. - Meta is receiving offers at a "significant premium" to what they paid for it (compute scarcity, positive for neoclouds like $IREN / $NBIS ) - Expects significant portion of compute (like the 1 GW DC in El Paso) to develop internal models. - Meta has multiple ROI-positive uses for additional compute across its core business (internally, not Meta Compute) - "Finally, we believe that overall industry capacity is going to remain tight for the foreseeable future" - "The industry has under-built historically for the wave of AI adoption, making existing capacity, including our own, extremely valuable" - Susan Li TLDR: - $MSFT and $GOOGL largely sustaining AI capex buildout while remaining FCF positive or through operating incomes. - $META flags available compute materially below demand at least through 2027. And $MSFT also flags compute demand far exceeds supply. - All three hyperscaler capex largely in line with Google hiking capex figures. AI selloff seems extremely overblown now, hyperscalers continuing capex in line (with Microsoft being FCF positive) or even hiked with $GOOGL. Compute scarcity is visible throughout every single hyperscaler ER.中文 · 翻译简单总结一下 $META 和 $MSFT 财报电话会的几点收获： 微软： - 预计到2027年自由现金流（FCF）转正，尽管资本支出（capex）在增加（这对于AI基础设施建设是天大的利好，因为它的资金来源是运营收入） - “自由现金流为19
- English · 原文@wannabepanacea I've been out if it recently, just recovering from 2 rounds of surgery. Drop was been surprising to say the least given $GOOGL hiked capex guidance last week. Will need to check on rate hike odds, but my guess is just deleveraging.中文 · 翻译@wannabepanacea 我最近都没太关注，刚做了两轮手术，正在恢复中。 这次下跌至少可以说很让人惊讶，毕竟 $GOOGL 上周还上调了资本支出指引。 我得去查查加息概率，但我猜应该只是去杠杆化而已。
- English · 原文There you have it, $GOOGL Waymo to explore split with $UBER per FT. My view last year was that Uber partnering with Waymo was a bad choice… since Uber would just serve as a distribution funnel that Google needed as they scale up. And that $NBIS Avride, other neutral players, or vertical integration would be the optimal path forward. Now their own partner Waymo looks to be the strongest disruptor to Uber.中文 · 翻译这下好了，$GOOGL 旗下的 Waymo 准备跟 $UBER 探索分拆，消息来自《金融时报》。 我去年就觉得 Uber 和 Waymo 合作是个臭棋……因为随着谷歌（Waymo 母公司）规模扩大，Uber 最终只会变成谷歌需要的那个分销渠道。 当时我认为，$NBIS Avride、其他中立玩家，或者垂直整合才是最优解。 结果现在，Waymo 这个 Uber 自己的合作伙伴，反而成了对 Uber 威胁最大的颠覆者。
- English · 原文Having an iota of reading comphrension helps a bit before commenting. AI Capex -> goes to upstream semis from memory, photonics, foundries, and others. These players are happy. $GOOGL itself is spending the money, so markets might not like that for them in specific. But it's positive to the players that receive that capital.中文 · 翻译评论前，最好先有点阅读理解能力。 AI 资本支出 → 据我所知会流向上游半导体、光子元件、晶圆代工厂以及其他相关领域。这些参与者都挺高兴的。 $GOOGL 自己在花这笔钱，所以市场可能不太喜欢针对它自身的这个举动。 但对于那些拿到这笔资金的玩家来说，这绝对是利好。
- English · 原文$GOOGL updates FY 2026 capex guidance: To $195B-$205B. Up from $180B-$190B. Google is also expected to significantly increase capex in 2027. This is perhaps the most bullish read through on upstream semis from a hyperscaler. https://t.co/dXiI0Ien8X中文 · 翻译$GOOGL 更新了 2026 财年的资本支出指引： 上调至 $195B-$205B。之前是 $180B-$190B。 Google 预计在 2027 年也会大幅增加资本支出。 这可能是大型云计算公司中，对上游半导体公司来说最看好的信号了。https://t.co/dXiI0Ien8X
- English · 原文@4intheflames $GOOGL stock down a solid -.079%. https://t.co/lN3g2KcJZy中文 · 翻译@4intheflames $GOOGL 股价跌了实实在在的 -0.079%。https://t.co/lN3g2KcJZy
- English · 原文$GOOGL now has 950M monthly Gemini users and processes 22B API tokens/min. Compared to 750M back in February. Absurd growth adding 200 million more users in a few months. Kinda explains why they ran out of compute, then cut allocations to $META and others. Very unlikely AI capex will slow down given.中文 · 翻译$GOOGL 现在每月有 9.5 亿 Gemini 用户，每分钟处理 220 亿 API token。 相比之下，2 月份是 7.5 亿。 几个月内增加了 2 亿用户，这个增长太惊人了。这也解释了为什么他们算力不够用，然后砍了分给 $META 和其他公司的算力。 考虑到这些，AI 资本开支不太可能放缓。
- English · 原文$GOOGL reported earnings today: EPS: $9.11 actual vs $2.91 expected - retail reactions to EPS blowout is kinda just accounting noise, since $SPCX, Anthropic, and others were likely large contributors. Revenue: $119.7B actual vs. $116.98B expected Google Cloud Revenue: $24.77B +82% Y/Y, vs. 63-65% expected ($22.2-$22.6B) - this is a very large beat and most material part so far. Cloud Operating Income: ~$8.81B, implying 35.6% margin vs. 32.9% Q1. Capex: $44.92B vs ~$44.15B (basically in line). So initial read through is Google Cloud accelerating growth with expanding margins is genuinely bullish for AI demand. Their former $180-$190B capex guidance is already extremely large, and as long as we get around these numbers in the earnings call + forward projections... Should be good to go for $LITE and the other optics/networking trade. (eg. last earnings, they said DC and networking would be ~40% of capex spend). Hyperscaler earnings transcripts are probably the most important thing to pay attention to with the AI capex trade. And that should be in 3 minutes.中文 · 翻译$GOOGL 今天公布了财报： 每股收益 (EPS)：实际 $9.11，预期 $2.91——散户对EPS大超预期的反应，其实有点像会计账面操作的噪音，因为 $SPCX、Anthropic 和其他公司很可能是主要的贡献者。 营收：实际 $1197 亿美元，预期 $1169.8 亿美元。 Google Cloud 营收：$247.
- English · 原文@SVTrivo No leaks yet on what companies $AAPL is buying. Regardless, my guess is that they're trying to become more self-reliant after what happened with $GOOGL + $META and OpenAI. Which would signal AI capex hikes, which markets definitely aren't expecting from someone like Apple.中文 · 翻译@SVTrivo 苹果 $AAPL 要收购哪些公司，目前还没啥风声。 不过，我猜他们可能是经历过 $GOOGL + $META 和 OpenAI 的事情后，想变得更自给自足。 这可能预示着苹果会增加 AI 资本开支，而市场肯定没想到苹果会这么做。
- English · 原文$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Contrarian take, but Sam Altman / OpenAI is doing something right if he's pissing off every Mag7 like $AAPL. By building their own ecosystem instead of being sucked into another. It's been awhile since $GOOGL, Apple, Microsoft, and others had some genuine disruptors.中文 · 翻译唱个反调，不过 Sam Altman 和 OpenAI 如果把 $AAPL 这样的七巨头都给惹恼了，那他们肯定做对了什么。 通过建立自己的生态系统，而不是被吸进别人的。 自从 $GOOGL、Apple、Microsoft 和其他公司出现真正的颠覆者，已经有一阵子了。
- 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There’s a lot of disinformation going around about $META “cutting capex” because they “overbuilt”. This is an “if” they have excess capacity. And it looks like the opposite right now: Hyperscalers like $GOOGL are so compute constrained that they had to cut allocations to Meta back in March. Since Meta was using too much for internal projects. Meta was immediately constrained so it looks like they were forced to immediately sign massive $48B+ contracts with Neoclouds like $CRWV and $NBIS. Meta is selling excess capacity if there’s any, especially since their large contracts are take or pay from the Neoclouds. If anything, I’m expecting their guided capex to go up as they build out more independent capacity.中文 · 翻译关于 $META “削减资本支出”是因为他们“超建了”的谣言很多。 这有个前提，那就是他们真的有过剩产能。 但现在看起来，情况恰恰相反： 像 $GOOGL 这样的超大规模云厂商，计算资源紧张到三月份就不得不削减给 Meta 的分配。 因为 Meta 用了太多资源来做内部项目。 Meta 立即受到了限制，所以看起来他们被迫立马和像 $CRWV、$NBIS 这样的“新云”公司签下了超过 480 亿美元的巨额合同。 Meta 如果真有闲置产能的话，那肯定是正在出售，尤其是考虑到他们和这些新云公司签的大合同都是照付不议的。 要我说的话，我反而预计他们指导的资本支出会增加，因为他们要建设更多自己的独立产能。
- 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Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March... And why Gemini got super nerfed. $GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints. Google's CEO said from last earnings computing power restrictions prevented Google Cloud from taking on more customer needs and made the department's backlog nearly double the previous quarter. This is probably positive for the AI DC capex buildout since hyperscalers capacity is way below what is needed, and especially so if they can't rely on one another.中文 · 翻译看来我们终于搞明白了，为啥 $META 早在三月份就跟 $NBIS 这类 Neocloud 签了巨额协议…… 也解释了为啥 Gemini 被砍得那么狠。 据报道，$GOOGL 在 2026 年 3 月因为算力限制，限制了 Meta 的容量。 Google 的 CEO 在上次财报电话会上说过，算力限制导致 Google Cloud 无法承接更多客户需求，使得该部门的积压订单环比几乎翻了一倍。 这对 AI 数据中心资本开支建设来说大概是利好，因为超大规模云厂商的产能远低于实际需求，尤其是如果它们彼此之间还指望不上对方的话。
- 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 $GOOGL，目前可能排第二，AI 资本支出对于保护谷歌搜索护城河 Gemini 对抗 ChatGPT 是必要的。 他们还有谷歌云的营收，搭配高效的 TPU，也可以像英伟达 GPU 那样卖 TPU。 Gemini 用户量一直在增长（尽管在前沿基准测试上缺乏竞争力）；AI 策略也在为广告优化发挥作用。 但在物理 AI 方面，路径更模糊，我猜？ 微软和 Meta 还在努力说服市场为什么资本支出是必要的（我们其实从 Meta 超过 30% 的同比增长营收中看到了效果），但市场似乎并不买账。 至于市场叙事，微软的 Maia 似乎落后了，他们的 AI 开发因为 OpenAI 的投资而受阻，所以市场情绪基本上跌到谷底。 但我觉得未来会像谷歌那样来个 180 度大转弯。 我敢肯定所有超大规模云厂商现在都看到了领先者效应： 如果你拥有领先的大语言模型，人们就会一直用。那个大语言模型会从所有训练数据中变得更聪明；而这个差距可能是结构性的。 这就是为什么现在大家都在抢着搞建设，但对某些厂商来说，眼前的激励显然更明显。
- English · 原文$NVDA and $GOOGL lead 800V DC ahead of schedule. "Ahead of schedule", pulled up to Q3 2026 with small volume shipments starting . - Delta Electronics (2308), $VRT - Song Chuan Precision (7788) - Schneider Electric, Eaton, Siemens. All flagged as beneficiaries. "Market sources indicate that Nvidia’s Vera Rubin platform and Google’s next-generation AI data centers will be the first to adopt the technology" Source: Commercial Times The power semi trade should be happy to hear this.中文 · 翻译$NVDA 和 $GOOGL 提前引领 800V 直流电。 "提前于原计划"，已提前至 2026 年 Q3，小批量出货即将开始。 - 台达电子 (2308)，$VRT - 松川精密 (7788) - 施耐德电气、伊顿、西门子。 全都被列为受益方。 "市场消息指出，Nvidia 的 Vera Rubin 平台和 Google 的下一代 AI 数据中心将率先采用这项技术" 来源：工商时报 做功率半导体的应该听了会开心。
- English · 原文@ratna555 I see the Lightmatter/Ayar type companies, probably going higher than $5B if they IPO. Since they're both part of $NVDA NVLink CPO ecosystem, heavy backers like NVidia/Intel/AMD/Google, and popular theme.中文 · 翻译@ratna555 我看好那些 Lightmatter/Ayar 类型的公司，如果它们 IPO 的话，估值很可能超过 50 亿美元。 毕竟它们都属于 $NVDA NVLink CPO 生态系统的一部分，背后有像 NVIDIA/Intel/AMD/Google 这样的重量级投资方，又是当下热门的题材。
- English · 原文@GalV19634050 I don’t see any signs of capex slowing down, given both Meta and Google just did a raise, OpenAI raised a ton of + going public. As long as hyperscaler capex keeps ramping, many names above and my other CPO exposure names should heavily benefit.中文 · 翻译@GalV19634050 我看不出资本支出有任何放缓的迹象，毕竟 Meta 和 Google 刚融了一轮资，OpenAI 也融了一大笔钱，还要上市。 只要超大规模企业的资本支出还在加码，上面提到的那些标的，以及我其他 CPO 相关持仓，都应该会大幅受益。
- 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@dong7da7 I used to draw silly things on charts like Pokemon on charts to joke about how people do TAs. Because most of the time, technical analysis doesn’t actually mean anything, since fundamentals are the most important! That Charizard photo was my $GOOGL callout back at $156.中文 · 翻译@dong7da7 我以前喜欢在图表上画些傻乎乎的东西，比如画宝可梦在上面，来调侃那些搞技术分析的人。 因为大多数时候，技术分析其实啥也不是，基本面才是最重要的！ 那张喷火龙的照片是我之前在 $156 的时候喊的 $GOOGL 多头。
- 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No, people are misinterpreting $AVGO CEO comments. Demand is insatiable in general, but hyperscalers don't want to be bottlenecked, so it's inevitable $GOOGL and others multi-source. Broadcom's bottom line keeps increasing, but because the pie keeps increasing, Mediatek, Marvell, AlChip, and all the others will benefit too. But the latter much more than Broadcom.中文 · 翻译不，大家都误解了 $AVGO CEO 的说法。 整体来说需求是无穷无尽的，但超大规模云厂商不想被卡脖子，所以 $GOOGL 和其他家必然会搞多源采购。 博通的底线是在不断提升，但因为整个蛋糕在变大，联发科、Marvell、AlChip 和所有其他玩家也都会跟着受益。 只不过后者的受益程度远大于博通。
- English · 原文its supply chain confirmation, I knew $NVDA was an investor in Ayar, so Id assume they wanted some strategic collaboration like NVlink ecosystem. $AMD also invested in Ayar, so $AMD going with $GFS for CPO also kinda put 1+1 together with $SIVE through Ayar. Mediatek and $INTC turns out to be investors in Ayar, Mediatek does Google ASICs. So if you follow this logic, maybe theres more announcements coming soon with $SIVE in $GOOGL supply chains next.中文 · 翻译供应链已经确认了。我之前就知道 $NVDA 是 Ayar 的投资方，所以我觉得他们应该是想在 NVLink 生态这类方向上寻求战略合作。 $AMD 也投了 Ayar，那 $AMD 找 $GFS 做 CPO 这事儿，再加上 Ayar 这边的关系，基本上把 $SIVE 串起来就很容易推理了。 联发科和 $INTC 原来也是 Ayar 的投资方，联发科还在做谷歌的 ASIC。 所以按这个逻辑推下去，接下来可能很快就会有 $SIVE 进入 $GOOGL 供应链的更多消息。
- English · 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中文 · 翻译@JonahK44 $NBIS 就是 $META 和 $MSFT。 $GOOGL 跟 $CIFR 和 $WULF 做了不少 Fluidstack 交易，都是为了扩充 Colo。我猜他们是想接入更多自家的 TPU。
- English · 原文I never thought I’d see the day where $GOOGL needs to raise $80b for AI capex… Then Warren Buffet’s $BRK.A is funding the hyperscaler AI buildout. - $40B ATM, $30B offerings, Berkshire $10B Upstream ecosystem from $LITE to $AVGO to Mediatek to $TSM to $MU should go brrr. Not sure if the Google holders are though, given this massive capex scale isn’t as funded by FCF.中文 · 翻译从没想过有一天会看到 $GOOGL 需要募集 800 亿美元搞 AI 资本开支…… 接着沃伦·巴菲特的 $BRK.A 又给超大规模 AI 基建砸钱。 - 400 亿 ATM（在架发行），300 亿增发，伯克希尔 100 亿 从 $LITE 到 $AVGO 到联发科到 $TSM 到 $MU 的上游生态应该要起飞了。 不过谷歌的股东们恐怕没那么开心，因为这么大手笔的资本开支不是靠自由现金流撑起来的。
- 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。
在其他光模块产业链标的上也有持续观点
GOOGL 之外，以下标的同样收录于其观点库：