$AMZN
观点汇总
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Serenity 对 AMZN 持长期看涨态度，核心论点围绕 AWS 的强劲积压订单、机器人技术降低运营支出以及年底季节性消费利好。他视 AMZN 为 Mag7 中估值相对合理且受宏观降息利好的标的，预测其市值可达 3 万亿美元。在供应链视角上，他虽未直接剖析 AMZN 内部瓶颈，但指出超大规模云厂商自研芯片趋势促使英伟达扶持 GPU 租赁商（如 NBIS）以维持生态，间接反映 AMZN 在 AI 算力竞争中的关键地位。操作上，他明确将 AMZN 列为“买入”级标的，建议通过定投（DCA）在 210-220 美元区间建仓，并利用低贝塔特性卖出深度虚值看跌期权以获取权利金收益。他多次强调在宏观恐慌或股价回调时逢低买入，将其作为组合中稳健的核心持仓，而非高风险投机标的。
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宇树IPO超额认购8000倍，或带动美国头部人形机器人公司关注。
呃……宇树科技(Unitree)的IPO在散户中超额认购超过8000倍。纯人形机器人公司的需求简直巨大？我个人加入了美国本土的Agility Robotics俱乐部（软银、$NVDA、$AMZN、富士康等），通过$CCXI以25亿美元投前估值参与。我的看法是，宇树科技可能以300亿美元以上（来自IPO前永续债）开盘，可能会在一两周内给领先的美国玩家带来更多关注。无论如何，这种需求简直荒谬。
英文原文
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.
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通过对比AI云需求与Nebius基本面，演示做空Nebius并做多Lulu的对冲策略。
今天我在写一篇周末指南，讲解如何对做空 $NBIS 进行尽职调查(DD)： 首先，查看超大规模云服务商的财报以观察 AI 云需求的传导效应： > $GOOGL：财报显示 AI 云需求创纪录 + 积压订单 + 利润率提升 > $AMZN：财报显示 AI 云需求创纪录 + 积压订单 + 利润率提升 > $META：财报显示可用容量的价格高于预期。 现在，来看看 Nebius： -> $NBIS：年化经常性收入(ARR) 在 Q4 增长数百%至 70-90 亿美元。利润率增长，并指引签约电力超 4GW。 -> 预计 Uber/Waymo 拆分，更聚焦于 Avride -> 预计 Clickhouse 每季度快速增长。 看起来做空理由不充分！但接下来，你需要对冲吗？ -> 哇！一位 $NIKE 品牌高管，在股价过去 5 年下跌 75% 后，去了 $LULU 拯救该品牌？Lululemon 看起来不错。 结论：做空 Nebius 并做多 $LULU
英文原文
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 $LULU
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四大云厂商上调Capex指引，看好上游半导体及AI供应链瓶颈环节重估。
作为业绩复盘：$AMZN、$META、$GOOGL 和 $MSFT 将 2026 年联合资本支出(Capex)指引上调至约 7200-7450 亿美元。此前指引为 6950-7250 亿美元。亚马逊：2200 亿；谷歌：1950-2050 亿；Meta：1300-1450 亿；微软：1750 亿。我们已看到显著的降杠杆和零售/机构保证金清算（可能还会持续，谁知道呢）。但中长期来看，我不太明白为何有人看空上游半导体或新云厂商。鉴于每家超大规模云服务商都指出了算力短缺、云需求上升+定价权增强，或增加芯片/网络支出。我对许多上游半导体供应链的“瓶颈”论点是：当数万亿美元资本流入磷化铟(InP)衬底或存储（此前均被视为廉价大宗商品）甚至能源领域时。许多此前在电信周期中被视为无用甚至“卖马桶”的当前 AI 概念股。当拐点到来且资本支出流入其资产负债表时，估值将重估。正如过去几年 $NVDA GPU、今年存储、未来几年 CPU/MLCC、2027 年共封装光学(CPO)、2027 年玻璃衬底、2027 年 800V 等所见。
英文原文
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.
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反驳媒体看空AI，指出巨头需求旺盛且韩国半导体大涨。
本周要点速览： 媒体：超大规模云厂商建设过剩，正在抛售多余算力。 -> $GOOGL, $MSFT, $META, 和 $AMZN：算力需求远超产能。资本支出(Capex)持续飙升。 机构：紧急加息或三次加息，行情就此终结。 -> Kevin Warsh：不会加息。 散户/媒体：AI因是泡沫而崩盘。 -> 城堡证券(Citadel)正寻求买入AI杠杆对冲基金头寸：👀 Jim Cramer：清仓所有杠杆型数据中心(DC)股票。 -> 韩国市场：SK海力士(SK Hynix) +30%，三星(Samsung) +26.81%
英文原文
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%
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亚马逊资本支出上调及算力短缺证实，AXTI 产能扩张且供不应求，看多 AI 半导体及光通信供应链。
几条财报摘要，重点是我看好的 $AXTI 和 $AMZN： 亚马逊： - 将 2026 年资本支出上调至 2200 亿美元（此前为 2000 亿美元），部分原因是内存成本上升，这对 $MU 和三星是利好。 - 即使达到 2200 亿美元，亚马逊的产能仍无法满足 2026 年的所有需求；Jassy 预计 2027 年情况相同。 - 大多数 2027 年的新增产能已被预订，2028 年的大量产能也已预订。 主要浏览了上游半导体板块。$GOOGL、$META、$AMZN 和 $MSFT 均指出算力短缺。 几周前关于 Meta 等公司“算力过剩”以及超大规模云厂商削减支出的所有叙事……全是胡扯。 亚马逊财报对 AI 半导体交易非常看多。 AXTI： - AXT 计划在 2026 年将磷化铟(InP)产能翻倍，2027 年再翻倍。 - 预计这将使 AXT 成为“迄今为止全球最大的磷化铟生产商”——冲鸭。 - 第二季度营收为 4760 万美元，创 AXT 历史单季新高（来自数据中心应用的 InP 营收创纪录达 3070 万美元）。 - 营收环比增长 77%，同比增长 164%。 - InP 营收-产能目标：2026 年底每季度 6000 万美元。 - 2027 年底每季度 1.3 亿美元。 由于管理层表示他们将“寻找任何方式增加产能扩张”，1.3 亿美元的目标可能会进一步提高。 管理层称报告中的积压订单仍远高于 1 亿美元，但该数字已不能反映所有可用需求。 “无论我们增加产能的速度多快，客户需求持续超过供应。” 800G/1.6T 正在驱动当前周期，而 NPO/CPO 将其延伸至 2027 年之后。 此外，他们的目标是 50% 以上的毛利率：“我们绝对应该瞄准一个以五开头的数字。” 中国需求翻倍有余，且与 Casela、$COHR 和 $LITE 的协议并未实质性推动第二季度业绩。 这甚至还没有考虑我预测的随着 InP 衬底瓶颈加剧带来的巨大平均售价(ASP)上涨。 摘要： - 亚马逊算力需求过大，需要资本支出来满足，因此上游半导体起飞。 - AXT 是全球最大的 InP 衬底供应商，高毛利率，产能扩张，且供应跟不上需求。 看多来自亚马逊的需求端+资本支出。看多上游光通信供应链，因为需求过大。
英文原文
Few earnings TLDRs with my favorite $AXTI and $AMZN: Amazon: - Raised 2026 capex to $220B vs. prior $200B (partly due to higher memory costs, which is bullish on $MU to Samsung) - Even at $220B, Amazon will not have enough capacity to meet all 2026 demand; Jassy expects the same in 2027. - Most incoming 2027 capacity is already reserved, with substantial 2028 capacity also reserved. Mostly read through on upstream semis. $GOOGL, $META, $AMZN, and $MSFT all identified compute shortage. All the narratives a few weeks earlier was "excess compute" from Meta and others + hyperscalers cutting back on spend... All BS. Amazon earnings was very bullish on AI semi trade. AXTI: - AXT to double InP capacity during 2026. Then double again in 2027. This is expected to make AXT "by far the largest indium phosphide producer in the world." - LFG - Q2 rev was $47.6M, the highest quarterly revenue in AXT history (InP revenue reached a record $30.7M, from DC applications.) - Revenue increased 77% sequentially and 164% year over year. - InP revenue-capacity targets: $60M per quarter exiting 2026. - $130M per quarter exiting 2027 That $130m target could be hiked too since management stated they find "whatever ways to increase that capacity expansion" - Management said the reported backlog remains well above $100M, but that number no longer reflects all available demand. "Customer demand continues to outpace supply, no matter how fast we add capacity." 800G/1.6T is driving the current cycle, while NPO/CPO extends it beyond 2027. Also they're targeting 50%-plus gross margin: "We should definitely be targeting a number that begins with a five." China demand more than doubled, and their agreements with Casela, $COHR and $LITE did not materially drive Q2. This is not even considering my projected massive ASP hikes yet as InP substrates get more bottlenecked. TLDR: - Amazon too much compute demands, needs capex to fufill it, so upstream semis go brrr. - AXT world largest InP substrate supplier, high gross margins, expansion, and supply can't keep up with demand. Bullish on demand side from Amazon + capex. Bullish on upstream optical supply chains from too much demand.
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AMZN回应AAOI看空报告，称已对网络优化建模。
关于 $AMZN RNG 与 OpenAI 的 MRC 及 VCSEL 技术。这似乎是对 B. Riley 发布的 $AAOI 卖出报告的一种间接回应，该报告称优化措施“使网络扁平化并削减光收发器 TAM 40-50%”。Rosenblatt 的要点是：他们已对此建模，尽管每个 XPU...
英文原文
Regarding $AMZN RNG + OpenAI’s MRC and VCSELs. In what appears to be an indirect response on B. Riley's $AAOI sell report regarding optimizations that "flattens networks and cuts transceiver TAM 40-50%". Rosenblatt TLDR: They've already modeled for this, even though each XPU https://t.co/A41ceTqKwJ
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看好亚马逊在物理AI转型中的赢家地位及其对机器人产业链的催化作用。
@heyfinlo 是的，$AMZN 看起来是物理 AI（Physical AI）转型中的明确赢家。我认为亚马逊生态系统……与其他谷歌/元宇宙生态系统相比，更可能成为机器人玩家的催化剂。我隐约看到这与 $GOOGL TPU 对 $LITE 等供应商产生的效应存在相似之处。
英文原文
@heyfinlo 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 https://t.co/2Upo1XRLSp
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分享SVRC机器人行业报告，列出Figure AI等8家主要机器人公司。
偶然看到 SVRC Research 4 月发布的一份有趣报告《2026 年机器人行业现状》。 其中列出了： 1. Figure AI 2. Agility Robotics $CCXI 3. Apptronik 4. $TSLA 5. Boston Dynamics 6. Physical Intelligence 7. 1X Technologies 8. $AMZN Robotics 9. https://t.co/AmCFokQYxl
英文原文
Came across an interesting report from SVRC Research called "State of Robotics 2026", published in April. Which listed: 1. Figure AI 2. Agility Robotics $CCXI 3. Apptronik 4. $TSLA 5. Boston Dynamics 6. Physical Intelligence 7. 1X Technologies 8. $AMZN Robotics 9. https://t.co/AmCFokQYxl
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三星SDI圆柱电池短缺成瓶颈，影响Meta和Amazon的BBU供应。
看来高功率圆柱形电池/BBU电池出现了短缺（即瓶颈）： - 三星SDI向Simplo供应电芯，Simplo将其组装成BBU供应给$META和$AMZN。 - 随着数据中心需求的增加，三星SDI圆柱形电池的生产已[链接]。
英文原文
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 $AMZN. - As demand from data centers has increased, production of Samsung SDI's cylindrical cells has https://t.co/MNmNAJ0POv
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电商巨头因机器人优化支出成为实体AI最大受益者，META前景不明。
@fivepointscap 是的，$SE $MELI $JD $AMZN 和其他电商巨头是我能想到的实体 AI 推动中最明显的受益者。鉴于他们可以通过机器人技术立即优化运营支出 (opex)。像 $META 这样的名字则显得不那么明确。
英文原文
@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.
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反驳SPAC恐慌，强调巨头背书与基本面重要性。
@supplepest 这种对 SPAC 的创伤后应激障碍(PTSD)是怎么回事？我只关心公司基本面。 $NVDA、软银、$AMZN 和其他人不会只支持一些随机的垃圾公司。而且富士康正在为私募股权投资(PIPE)提供资金。 这只是为了更快的上市，特别是给美国投资者提供替代极度（受限/昂贵）的选项。
英文原文
@supplepest What's this PTSD about SPACs? I only care about the company fundamentals. $NVDA, Softbank, $AMZN and others don't just back some random crapco. And Foxconn is funding the PIPE. It's just for faster listing, especially giving US investors alternatives to the extremely
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将Agility比作机器人界Anthropic，看好其巨头背书及企业级起点。
只是一个随想，美国领先的人形机器人玩家让我联想到当前的大语言模型(LLM)动态：Agility ($CCXI) 感觉有点像机器人领域的 Anthropic。在 $AMZN 和 $NVDA 的大力支持下，并深度整合了 $GOOGL Deepmind（类似 TPU）。它从企业级应用起步。
英文原文
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 $GOOGL Deepmind (like TPUs). And it starts off with enterprise
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反驳资本支出被抽走论，看好亚马逊作为超大规模云服务商的投资价值。
我不太认为“被抽走”是准确的用词。这是为了未来大幅营收增长或利润率提升而进行的资本支出(Capex)。$AMZN 可能是我目前最看好的超大规模云服务商(Hyperscaler)，也是很好的例子。亚马逊的雇员数量惊人，约157万。如果这笔资本支出用于...
英文原文
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
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回顾2025年对光模块及半导体供应链龙头的早期估值判断。
有趣地回顾一下2025年的一些随机想法。 当时， $AAOI 市值为20亿美元， $LITE 市值为260亿美元， $AXTI 市值为5亿美元。 现在： - AAOI 市值为153.7亿美元 - Lumentum 市值为744.7亿美元 - AXT 市值为72.4亿美元 当时由于处于早期主题阶段，掌握的信息较少。 当然，专用集成电路(ASIC)方面存在细微差别。
英文原文
Fun throwback to random ideas back in 2025. Back then, $AAOI was $2B MC, $LITE was a $26B MC, $AXTI was $500M Now: - AAOI is $15.37B - Lumentum is $74.47B - AXT is $7.24B Was working off less information back then, given it was an early theme. Obviously nuances with ASIC
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长期更偏好英伟达上游瓶颈而非NVDA本身。
回复 @darkseidzz：嗯，长期看，相比做多 $NVDA，我更喜欢你所有的上游瓶颈环节，因为这些会被重估得最多（英伟达已经是世界最大公司）。 我很确定，超大云厂商 ASIC 最终会分流 $NVDA 的需求，比如 $GOOGL 的 TPU、$AMZN 的 Trainium 项目。
英文原文
@darkseidzz 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
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高盛上调四大云厂商资本开支预期，利好上游半导体供应链。
是的……我认为你们所有上游半导体供应链公司都会涨得更高。 高盛现在预计，2025到2030年四大超大云厂商 $GOOGL / $META / MSFT / $AMZN 的资本开支合计将达到5.3万亿美元。 这一数字从一季度财报后的4.5万亿美元上调。
英文原文
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 $4.5T from Q1 earnings. https://t.co/UtkU1IU2V5
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讨论高通与字节/亚马逊相关机会及光子学收购。
回复 @madridraptor：如果我没记错，$QCOM 是字节跳动，也可能是 $AMZN，不是 $GOOGL TPU。 不过我真的不喜欢高通对中国的敞口有多大。但他们做了一些非常重要的光子学收购，比如 Alphawave（类似 Marvell 收购 Celestial）……
英文原文
@madridraptor $QCOM was Bytedance and maybe $AMZN if i remember correctly, not $GOOGL TPU. I'm really not a fan of how much exposure Qualcomm has to China though. But they made some really important photonics acqusitions like Alphawave (similar to what marvell did with celestial)... for
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称AAOI是当前美国市场最喜欢的光子学敞口。
$AAOI 实际上是我现在在美国市场最喜欢的光子学敞口。 去年我在28美元以低仓位做多，当时我猜它们正在与 $AMZN 和 $MSFT 认证。 业绩后约70美元时我有高信念，因为它们宣布了1.6T 和其他批量订单……
英文原文
$AAOI is actually my favorite photonics exposure in the US market right now. I went long last year with low sizing at $28, back when I guessed they were qualifying with $AMZN and $MSFT. High conviction post earnings at ~$70, when they announced 1.6T and other volume orders with
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Ayar与Wiwynn公告对SIVE CPO机架级部署潜力重大。
Ayar 今天与 Wiwynn 的公告，对 $SIVE 在 CPO -> 机架级部署方面可能非常重要。 Wiwynn 的云客户包括 $AMZN、$META、$MSFT。 而且他们一直在谈 $GOOGL TPU 部署。 我认为，仅供参考架构来看，每个机架大约需要512+个 SuperNova 光源。 所以如果 $SIVE 是主要激光阵列供应商（我们预计如此，因为 Macom + Lumentum 已从 Ayar 网站移除）。 即使是中等规模的机架部署，也会对收入非常有意义。 这只是 $SIVE / Ayar / Wiwynn 当前机架级商业化潜力，还不会体现在收入财务中。
英文原文
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.
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MRVL财报验证CPO主题和Celestial放量，间接指向SIVE激光需求。
$MRVL 财报是更广泛 CPO 主题的看多信号（也包括 $SIVE 作为可能的激光供应商）。 - “Scale-up interconnect 是 AI 基础设施中最新、最具战略意义的新兴机会之一。” CPO 主题 go brrr。 - 确认 Celestial 被 T1 超大云厂商选中用于 scale-up。 我过去发现过 Celestial 的 $AMZN 认股权证……所以很可能是 Amazon。 - 明年带 Celestial 的 scale-up 光学收入应该超过此前约1.5亿美元预期的2倍。 前瞻收入爬坡预期 go brrr。 - Celestial 团队加上 $MRVL 光学团队是“全垒打”。 Marvell 把 Celestial 视为增长向量，上游 Celestial 供应商受益。 - $MRVL 现在专注于把 Celestial 推向高量制造。 这是放量指标。 如果你不记得，此前有 OSINT 映射显示 $SIVE 直接对应 Celestial，而不是通过 $POET。 所以 Celestial 的前瞻增长，是 Sivers 激光器的放量指标。
英文原文
$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.
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回顾AAOI/AXTI早期被FUD，如今类似CPO转折正在SIVE/Foci上重演。
当我在 $AAOI 约20-30美元做多时： 我以为 $AMZN 和 $MSFT 正在为其 ASIC 项目认证特定光收发器。 结果它更可互换、更可大规模生产。 无论如何，很高兴我关于 $LITE、$AAOI、Innolight、$COHR、$AXTI 的 thesis 表现这么好。 记住：当 $AAOI 在20-30美元时，X 上所有人都说“管理层诈骗”…… 或者在 $AXTI 12美元时说“诈骗公司”。 FUD 非常极端。 现在感觉又像似曾相识……做多下一轮 CPO 架构转变，比如 $SIVE 或 Foci？然后收到同样评论。 我们会看看我的 CPO 多头是否会像 Shunsin 对 Innolight、或 $SIVE 对 $LITE 那样兑现。 无论如何，那些名字现在都已经上涨数百到数千个百分点。
英文原文
Back when $AAOI was ~$20-30 when I went long: I thought $AMZN and $MSFT were qualifying specific optical transceivers for their ASIC programs. Turns out it’s more interchangeable/mass producible. Regardless, glad my thesis on $LITE, $AAOI, Innolight, $COHR, $AXTI played out so well. Keep in mind: everyone on X was saying “scam management” with $AAOI back at $20-30… Or “scam company” with $AXTI at $12. FUD was pretty extreme. Feels like dejavu again… going long on the next CPO architectural shift like $SIVE or Foci? And getting the same comments. We’ll see if my CPO longs play out the same way like Shunsin does with Innolight or $SIVE does with $LITE. Either way all of those are now up hundreds to thousands of percent.
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认为只要 thesis 不破，公司就能继续成长
我不确定大家有没有意识到，只要一个 thesis 没有彻底被证伪，像 $NBIS 这种公司就可以继续成长。 看看过去 15 年的 $AMZN 或 $GOOGL 就知道。 如果你老是“减仓”，往往会先触发税负。很多回撤其实还没大到抵消你已经交掉的税。 等所谓“50% 暴跌”真的发生时，价格可能早就已经复利了几百甚至几千个百分点。 如果你需要花钱，只要仓位到了七位数、八位数甚至九位数，你完全可以借着这些资产去融资，同时继续让它们升值。 NFA，只是我个人观点。你们自己随意，但这非常、非常取决于你选的公司。 像 $IREN 这种垃圾就没法这么做。不过我确实认为 $NBIS 已经站在成为下一个 hyperscaler 的位置上了。
英文原文
Not sure if people realized this but unless a thesis completely breaks, companies like $NBIS can keep growing. Just look at $AMZN or $GOOGL over the past 15 years. If people "trim" it often triggers taxes. And a lot of corrections are typically less than those taxes paid. By the time a "50% crash happens", it's probably already compounded hundreds of even thousands of percent. If people need to pay expenses, once you hit 7-8-9 figures, you can always borrow against those assets and keep letting them appreciate. NFA, just personal opinion. You all do you, but it's highly, highly, dependent on the companies you pick. Can't do this with something trash like $IREN. But I do believe $NBIS is positioned to be the next hyperscaler.
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把 SIVE 和 Ayar / AlChip / Amazon Trainium 链条连起来
@DanilSer33 新的 $SIVE / Ayar / AlChip / $AMZN Trainium 供应链，比最近那个 $POET 5000 万到 5 亿美元采购订单更值得看多。 市场大概率不会立刻看出 Ayar、AlChip 和 $SIVE 之间的联系，除非有人把它点出来。
英文原文
@DanilSer33 The new $SIVE / Ayar / AlChip / $AMZN trainium supply chain is more bullish than the recent $POET $50m -> $500m purchase order. Markets probably won’t see the connection between Ayar AlChip and $SIVE unless someone points it out though.
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补充 Amazon / AlChip / Ayar 对 SIVE 的利好链条
再补一句关于很正面的 $SIVE 消息，以及 MSCI 未来两周可能带来数千万资金流入： $AMZN 刚和 AlChip 做了新的私募配售。 这大概率意味着未来 Trainium 还有设计赢单。 如果你还记得的话……AlChip 是 Ayar 的主客户。而 $SIVE 是 Ayar 的主要激光供应商。 所以对 $SIVE 的含义会非常大，它是在搭 Amazon 生态增长的顺风车。
英文原文
Just to add to the very positive $SIVE news amid MSCI likely tens of millions of inflow in 2 weeks: $AMZN has a new private placement with AlChip. Probably implying design wins with future Trainium. If you don’t remember… AlChip was Ayar’s lead customer. And $SIVE is the primary laser supplier to Ayar. So implications for $SIVE, is enormous piggybacking off of Amazon’s ecosystem growth.
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发现 Nextronics 也是机器人供应链里被忽视的供应商
现在再想想…… Nextronics（8147）其实也是 Amazon 机器人供应链里一个很被低估的供应商。 所以 Amazon 越扩张，他们的收入也会越大（市值才约 2 亿美元，如果毛利率真能做到 38-40%，那影响应该会很明显）。 我之前只盯着 $NVDA 的 CPO 供应链，因为那是它们最大的增长向量。 但我也认为 Amazon 的机器人计划是最适合大规模生产的路线，因为每造一个内部机器人，就会降低 opex、削减 headcount、提升利润率。 而且整个生态都会受益。
英文原文
Now that I think about it more… Nextronics (8147) is a pretty undiscovered supplier to robotics supply chains like $AMZN too. So as Amazon scales up, so does their revenue (it’s only ~$200m mc so it should be material if they’re hitting 38-40% gross margins). I was only focusing on $NVDA CPO supply chains as their largest growth vector earlier. But I do think Amazon’s robotics program have the simplest route for mass production since each one they make internally lowers opex, cuts headcount, and improves profitability. And their whole ecosystem should benefit.
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认为 Amazon 在机器人领域被严重低估
@Dog_Ziller 我其实觉得 $AMZN 的机器人业务被严重低估了。 因为它立刻就能通过自动化降低 opex 和 headcount，带来实际收益。 至于通用人形机器人，$TSLA、Unitree、Figure、Boston Dynamics、Agibot、Agility 这些名字应该都会表现不错。
英文原文
@Dog_Ziller I actually think $AMZN for robotics is extremely underrated. Since since there’s immediate practical upside to lower opex + headcount for automation. But for general purpose $TSLA, Unitree, Figure, Boston Dynamics, Agibot, Agility, and others should do well.
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解释为什么每条帖子都会有人追问同样的问题
我不明白为什么每一条帖子下面，从 $AAOI 到 $LPK，大家都会问这种问题？ 我已经说过很多次了，$FLNC 宣布拿下两个新的 hyperscaler 合同之后，我是有仓位的。 但我确实觉得 $FLNC 很有吸引力，因为从 $GOOGL 到 $AMZN，hyperscaler 一般不会签小单。 尤其是看 $MSFT 和 $NBIS 的合同，很多内容都让人非常意外。
英文原文
Not sure why people ask these types of questions across every single stock from $AAOI to $LPK under every post? I've already said multiple times, I have positions after $FLNC earnings announced 2 new hyperscaler deals. But I do think $FLNC Is compelling since hyperscalers from $GOOGL to $AMZN don't sign small deals in general. Especially when you look at $MSFT contract with $NBIS a lot of it is a major surprise.
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认为 FLNC 应该更高估值
我其实觉得 $FLNC 应该更值钱。 一个季度里接连拿到 2 个直接 hyperscaler 合同，这个意义非常大。 $MSFT 到 $AMZN 不会签小单。 当然市场通常会等更多实际新闻 / 采购订单数字出来，怕它最后没落实或者比预期低。 但一家公司的确不会无缘无故宣布 2 个 hyperscaler MSA，还说订单会在 Q3 到。 而且一个季度赢得多个 hyperscaler 合同，本身就是后续更多合同的领先指标，尤其是 Fluence BESS 越来越标准化的时候。 考虑到空头比例大约 27.69%，我不确定财报前的空头是否真的敢冒这个险…… 如果像 $GOOGL 这样的 hyperscaler 签下大合同，我觉得有机会来一波历史级上涨。
英文原文
I actually think $FLNC should be a lot higher. The implications of having 2 incoming direct hyperscaler contracts in 1 quarter is enormous. $MSFT to $AMZN don't sign tiny deals. Obviously markets like to wait more until actual news/purchase order numbers come out... in the off-chance it doesn't go through or lower than expected. But a company doesn't just randomly announce 2 hyperscalers MSas and an expectation of the orders to hit Q3. Also winning multiple hyperscaler deals, in a single quarter is a leading indicator for more, especially as Fluence BESS becomes standardized. Given short interest is around 27.69%, I'm not sure if pre-earnings short sellers are very comfortable to take a risk... I think there's a chance for a generational run if a hyperscaler like $GOOGL signs a massive contract.
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介绍 Nextronics 及其在 Nvidia CPO 供应链里的位置
我只是把 Goldman Sachs 的 $NVDA 供应商报告放出来。 有一家很有意思、约 2.1 亿美元市值的公司 Nextronics（8147），我跟着 GS 之后也建了仓。 它向 Nvidia 的 CPO 供应链提供 CPO connectors 和 Cage Thermal Modules。 它们也在 $AMZN 的供应链和 humanoids 里，顺带还做按摩椅。 我只是想分享一个有意思的想法（NFA / DYOR），我之后会做 BOM 分析，但在 Nvidia CPO 项目放量时，这相对市值看起来很有意义。 当然也有多供应商 / 被设计出局的风险，但 GS 多次把这家微型供应商列在 40 亿到 100 亿美元以上公司名单里，可能是有原因的。
英文原文
Just putting it out there with the Goldman Sachs $NVDA supplier note. There’s a very interesting ~$210m MC company Nextronics (8147) that I ended up taking positions on following GS. That supplies CPO connectors and Cage Thermal Modules to Nvidia CPO supply chains. They’re also in $AMZN supply chains and Humanoids. And massage chairs too. Just thought I’d share an interesting idea (NFA/DYOR), I’ll do a BOM analysis later, but it looks very material relative to MC as Nvidia’s CPO program scales up. Of course risks are multi-sourcing/getting designed out, but there’s probably a reason why GS flagged this micro supplier multiple times among $4-10B+ companies.
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AAOI被比作光学版Intel，借超大规模需求东风，2027年收入预测显示严重低估。
我之前在 $AAOI 市值 $6.49B 时就说过同样的话。 现在市值 $11.5B，故事还是一样的： 基本上这就是光学(Optics)版的 $INTC，他们正在将产能从激光晶圆制造扩展到美国本土组装。 他们生产的任何东西都可能被超大规模云厂商(Hyperscalers)收购。 如果看 2027 年中期预测的 $1.41B 季度收入增长（$471 x 3）与当前市值的对比，当前的财务数据其实不太重要。 以及高盛预测的 9 倍 TAM 增长曲线。
英文原文
I’ve said this before when $AAOI was $6.49B. Now it’s $11.5B and this is the same story: Basically this is the Optical version of $INTC, where they’re scaling capacity from laser fab to assembly Made in America. Anything they make is likely to be bought out by hyperscalers. Current financials don’t really mater if you look at $1.41B quarterly revenue ramp by mid 2027 projections ($471 x 3) vs current MC. And the overarching 9x TAM curve from GS projections.