$META
观点汇总
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Sereny 对 META 的核心论点随时间从宏观看涨转向战术性减仓，最后回归波段买入。早期他视 META 为 Mag7 核心，预测市值达 2.3 万亿，并在组合中配置 2% 权重。10 月 8 日，因涨幅有限且不如 AMD 等新云标的具吸引力，他进行税务亏损收割减仓 META，计划年底回购。10 月 11 日将其列为“买入”，认为虽受关税担忧影响，但作为落后 Mag7 成员仍有补涨潜力。10 月 15 日，他批评 META AI 资本支出高昂且缺乏前沿模型，但指出股价回落至 700 美元支撑位是追赶其他巨头的买入良机。在供应链上，他看重 META 作为超大规模云服务商对算力及新云基础设施（如 CRWV、NBIS）的资本支出需求。操作上，他曾在 9 月通过卖出 META 看跌期权进行激进波段交易，利用其低贝塔特性获取权利金，目前建议逢低买入正股。
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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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超大规模云厂商资本支出强劲，计算资源稀缺，AI抛售被夸大。
以下是来自 $META 和 $MSFT 财报电话会议的一些要点： 微软： - 尽管资本支出增加，预计2027年将实现自由现金流(FCF)转正（这对由运营收入资助的AI建设极为有利） - “自由现金流为196亿美元，反映了更高的资本支出” - 季度资本支出为410亿美元，其中约2/3为“短期资产，主要是CPU和GPU” - 预计下一季度资本支出将超过500亿美元 - 资本支出指引约为1750亿美元，2027年资本支出大致相同。支出计划不变且符合预期。 - “将数据中心的预计使用寿命从15年延长至25年” - “我们将成为首批部署基于 $AMD Helios 和 $NVDA Vera Rubin 的下一代机架级AI基础设施的云提供商之一” - “客户需求持续超过可用容量” Meta： - 资本支出1300-1450亿美元（范围收窄），此前为1250-1450亿美元。 - Meta 收到的报价比其支付价格有“显著溢价”（计算资源稀缺，对 $IREN / $NBIS 等新云厂商有利） - 预计大部分计算资源（如埃尔帕索的1GW数据中心）将用于开发内部模型。 - Meta 在其核心业务中有多个投资回报率(ROI)为正的额外计算用途（内部使用，非Meta Compute） - “最后，我们认为整体行业产能将在可预见的未来保持紧张” - “历史上行业对AI采用浪潮的建设不足，使得现有产能，包括我们自己的，极具价值” - Susan Li 总结： - $MSFT 和 $GOOGL 主要在保持自由现金流为正或通过运营收入的同时，维持AI资本支出建设。 - $META 指出可用计算资源至少到2027年都远低于需求。$MSFT 也指出计算需求远超供应。 - 三大超大规模云服务商的资本支出基本与Google上调资本支出数字一致。 现在的AI抛售似乎被极度夸大了，超大规模云服务商继续按预期进行资本支出（微软保持自由现金流为正）甚至像 $GOOGL 那样上调。 计算资源稀缺在所有超大规模云服务商的财报电话会议中可见。
英文原文
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.
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博主认为AI需求加速信号明确，短期波动属去杠杆，看好光互连及存储板块。
我个人认为这是极短期的去杠杆行为，导致许多个股超跌。 - $BE 和 $TER 公布了超预期的业绩，Bloom 报告营收同比增长 166% + 利润率扩张 + 上调 2026 年指引... Teradyne 报告营收同比增长 104%，每股收益增长 300%+。 - 中国领先的光学玩家公布了惊人的初步财报，对西方光子学板块有极强的映射效应。 - 我认为财报季倾向于提醒市场 AI 加速仍在继续。我预计 $LITE、$SNDK / SK Hynix 以及板块龙头 ERs 将继续这一趋势。 - 但感觉市场更多是在奖励现有的加速，而非基于短期修正（如 $AMKR 所见）的未来一年增长。 - 总之，对我跟踪的主题来说看起来非常积极。 - 然后你有 $GOOGL 资本支出上调至 1950-2050 亿美元，这通常是超大规模云厂商最大的 AI 需求信号。 - 预测市场显示下次 FOMC 会议利率不变的概率为 77%。特朗普政府周一呼吁美联储降息。 - 所以今年三次加息的恐惧似乎有些夸大。 - 从 DUV 到 $CXMT 产能过剩的中国恐惧也被极度夸大。我们在每个行业都见过这种情况，直到人们记住激光或 HBM 瓶颈存在是有原因的。 - 就个人想法而言，看到所有东西一起涨跌是不健康的，尤其是这些主题。但我个人并不担心，因为我对我的持仓有充分信心，特别是像 $SIVE 或 $AAOI 这样的光互连领域。 - $META 计算和 $GOOGL GCP 利润率/增长显示出对 $NBIS 及类似新云业务模式的需求增加。 - $META 及其他超大规模云厂商关于与 $SNDK 和三星/SK Hynix、$MU 的长期协议（LTAs）的笔记指向结构性内存需求。 - 可以一直列举下去... - 但当 Jim Cramer 告诉每个保证金交易员在开盘时“全部卖出”，而新闻说存在 AI 泡沫时。 - 我讨厌别人说“它在跌所以卖出”。我相信重要的是看加速的营收/每股收益增长。如果营收加速与超大规模云厂商资本支出保持一致，那么该逻辑依然成立。 - 总之：我看到了 AI 需求/营收加速的迹象，超大规模云厂商资本支出是最重要的跟踪指标之一。 - 我猜我们会看到该主题广泛复苏。但我无法预测具体发生在哪一小时、哪一天或哪一周。
英文原文
I personally see it as extreme short term deleveraging that overshot many individual names. - $BE to $TER reported blowout results, with Bloom reporting 166% Y/Y rev growth + expanding margins + raised 2026 guidance... Teradyne reported 104% Y/Y revenue growth with 300%+ EPS growth. Your leading optical players over in China reported amazing preliminary earnings + extremely strong read through for the Western photonics sector. Think earnings season tend to remind markets about continued AI acceleration. I'm expecting $LITE, $SNDK / SK Hynix, and sector leader ERs to continue that trend. But it does feel like markets are rewarding existing acceleration more rather than future growth a year out over near-term revisions as seen with $AMKR. But as a TLDR, looks very positive for the themes I'm tracking. - Then you have $GOOGL capex raised to $195-$205B, which is typically the biggest AI demand signal from hyperscalers. - 77% 0bps change est. next FOMC decision from prediction markets. Trump administration on Monday called for the Fed to lower interest rates. So your 3x rate hikes fears this year seem kinda overblown. - Chinese fears from DUV to $CXMT overflooding are extremely overblown as well. We see this with every sector from time to time until people remember that lasers or HBM bottlenecks for a reason. As for personal thoughts, it was unhealthy seeing everything rise up or down together, especially with these themes. But I'm personally not worried since I have full conviction in my names, especially optical interconnects like $SIVE or $AAOI. $META compute and $GOOGL GCP margins/growth shows increasing demand for $NBIS and similar neocloud business models. $META + other hyperscaler notes around LTAs with $SNDK and Samsung/SK Hynix, $MU point to structural memory demand. Can go on and on... But when you have Jim Cramer telling every margined DC trader to "sell everything" at market open and news saying there's an AI bubble. I do hate it when others say "it's dropping so sell". My belief is that the important thing to look is accelerating revenue/EPS growth. And if that thesis stays in-tact with revenue acceleration in line with hyperscaler capex. TLDR: I see signs of AI demand / revenue acceleration, hyperscaler capex is one of the most important things to track. And my guess is that we'll see the theme recover broadly. But I can't predict what hour, day, or week that happens.
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AI供应链多环节瓶颈与涨价，AMD光互连及存储需求强劲。
一些新闻摘要(TLDR)： - 如果你看好中国存储，$CXMT 明天 IPO。 - 三星电子据报在获取大型 FC-BGA 基板方面遇到困难。伊比登(4062)据报要求长期协议(LTA)担保，三星电机寻求预付款。 - 三星 + $AVGO 签署至 2030 年的存储 + 代工 AI 框架，预计超过 2000 亿美元。 - $SOI 预计 2027 财年硅光子学收入将比上一年翻倍，超越摩根士丹利 60% 的增长预测。光子学逻辑起飞。 - SK 集团 + $NVDA 签署 5000 亿美元+ 合作伙伴关系，建设 AI 数据中心和 HBM4 内存。 - 据报 SKC Absolics 玻璃芯延迟至 2027 年。目标年底完成最终可靠性测试，明年量产。所以如果你好奇，这确实推迟了 $LPK 和其他人的爬坡（因此财报后下跌）。 - $QCOM 智能手机处理器价格因上游供应商涨价而两位数上涨。 - $META 预计发行 120 亿美元项目级/SPV 融资用于德克萨斯州埃尔帕索 AI 数据中心扩建。 - Naver 宣布 $NVDA 和 Brookfield 投资 100 亿美元建设 1GW 级 AI 工厂。近期计划是 2028 年达到 200MW。（英伟达投资 10 亿美元，Brookfield 非约束性 90 亿美元） - 64GB DDR5 服务器模块较 6 月底合约价上涨 146% - $INTC 将 14A 工艺量产提前一年，2027 年下半年风险生产，2028 年量产，相比此前 2029 年 HVM 预期。 - 三星电机赢得 2 亿美元 MLCC 订单（现有瓶颈）。 - $AMD（班达纳瓶颈），宣布 Helios 全面生产，2026 年 Q3 出货。包括与 Anthropic 部署高达 2GW 的 MI455X GPU 和与 OpenAI 的 6GW 基础设施。给出新的 >50% CAGR TAM，从 2025 年的 260 亿美元增至 2030 年的 2200 亿美元 CPU 市场。 - 2027 年为 Mi500 推出光互连。据渠道检查，AMD 正走向 CPO 路线（似乎很可能使用 Ayar）。 - $ORCL 赢得 70 亿美元国防部企业软件合同 - JX 金属将其韩国子公司半导体目标产能翻倍，投资 40 亿日元，2027 年下半年开始运营，应对三星电子和 SK 海力士等主要客户需求激增 - 钨六氟化物现货价格同比飙升 2.1-2.5 倍，继日本关东电化和中央气体宣布永久停产之后。随着 3M 计划退出 PFAS 生产，氟化液体供应面临真空。 - 从四家光芯片制造商财报来看，源杰/Eoptolink/TFC Optical/东山精密：无重大订单削减，1.6T 出货预计加速进入 2027 年。光芯片供应商预计将从短缺中获取超额利润。 - 宇树科技目标 2026 年人形机器人产能 30,000 台。阅读人形 TAM 像 $CCXI 等一样扩展。 - 储能锂电池订单上半年在中国增加 2900%。不太熟悉 EVE Energy 和其他电池制造商。
英文原文
Just some TLDR news: - $CXMT IPO tomorrow if you like Chinese memory. - Samsung Electronics reportedly struggling to secure large FC-BGA substrates. Ibiden (4062) reportedly requested LTA guarantees, Samsung Electro-Mechanics sought prepayments. - Samsung + $AVGO sign memory + foundry AI framework through 2030, expected to exceed $200b - $SOI expects FY2027 silicon photonics revenue to double compared to the previous year, surpassing Morgan Stanley's 60% growth projection. Photonics thesis go brrr. - SK Group + $NVDA sign $500B+ partnership to build out AI DCs and HBM4 memory. - SKC Absolics glass core delay to 2027 from reports. Targeting final reliability testing EOY, mass production next year. So if you're curious, this does push back some ramps from $LPK and others (hence drop on ER). - $QCOM price hikes by double digits for smartphone processors, due to upstream supplier hike pricing. - $META expected to issue $12B in project-level/SPV financing for El Paso, Texas AI DC expansion - Naver announced a $10 billion investment from $NVDA and Brookfield to construct a 1GW-scale AI Factory. Near term plan is 200MW by 2028. (Nvidia $1B investment, Brookfield nonbinding $9B) - 64GB DDR5 server modules rises 146% versus end-June contract pricing - $INTC brought forward 14A process mass production by a year, risk production H2 2027 and volume production in 2028, vs. 2029 HVM expectations. - Samsung Electro-Mechanics wins $200m MLCC order (existing bottleneck). - $AMD (the Bandana bottleneck), announces Helios is in full production with shipments Q3 2026. Including an up to 2GW MI455X GPU deployment with Anthropic and a 6GW infrastructure rollout with OpenAI. Gave new >50% CAGR TAM to $220B by 2030 from $26b in 2025 for CPU market. Rolls out optical interconnects for Mi500 in 2027. From channel checks, AMD is heading down to the CPO route (seems likely to use Ayar). - $ORCL wins $7B Department of War enterprise software contract - JX metal doubles semi target capacity at its KR subsidary with a 4B yen investment, with operations to begin H2 2027, amid surging demand from major customers Samsung Electronics and SK Hynix - Tungsten hexafluoride spot prices surged 2.1-2.5x Y/Y following Japan's Kanto Denka and Chuo Gas announcing permanent production halts. Fluorinated liquid supply faces a vacuum as 3M plans to exit PFAS production. - From the four optical chipmaker earnings, Yuanjie/Eoptolink/TFC Optical/Dongshan Precision: no major order cuts, 1.6T shipments expected to accelerate into 2027. Optical chip suppliers expected to capture outsized margins from shortages. - Unitree Robotics Targets 30,000 Humanoid Robot Production Capacity by 2026. Read through on humanoid TAM scaling like $CCXI and others. - Energy storage lithium batteries orders increase first half orders by 2,900% apparently in China. Not as familiar with EVE Energy and other battery makers.
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GOOGL用户激增致算力紧缺，AI资本支出难放缓
$GOOGL 现在拥有 9.5 亿 Gemini 月活用户，每分钟处理 220 亿 API 令牌(API Token)。 相比之下，2 月份仅为 7.5 亿。 几个月内新增 2 亿用户，增长荒谬惊人。这解释了为何他们算力耗尽，进而削减了对 $META 等公司的配额分配。 鉴于此，AI 资本支出(AI Capex)不太可能放缓。
英文原文
$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.
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META租赁算力验证Neocloud模式，超大规模云厂商在照搬作业。
$META 正在洽谈以 100 亿美元交易向 Anthropic 租赁算力。看来他们看到了 $SPCX 450 亿美元算力交易的盈利性。但这进一步验证了像 $NBIS、$IREN 等 Neocloud 商业模式的有效性，如果超大规模云服务商都在照搬他们的作业。来源：NYT https://t.co/3Mu3UXQtFT
英文原文
$META in talks to lease compute to Anthropic in a $10B dollar deal. Seems like they saw how profitable $SPCX $45B compute deal was. But just goes to validate Neocloud business models like $NBIS, $IREN, and co if hyperscalers are copying their homework. Source: NYT https://t.co/3Mu3UXQtFT
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推测苹果为求自力更生将增加AI资本支出，超出市场预期。
@SVTrivo 关于 $AAPL 正在采购哪些公司，目前尚无泄露消息。无论如何，我猜测在经历了 $GOOGL 和 $META 与 OpenAI 的事件后，他们正试图变得更加自力更生。这将预示着人工智能资本支出(AI Capex)的增加，而市场绝对没有预期到像苹果这样的公司会有此举。
英文原文
@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 + $META and OpenAI. Which would signal AI capex hikes, which markets definitely aren't expecting from someone like Apple.
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存储与光模块基本面强劲，但市场反直觉抛售。
@michaelsikand 下季度DRAM涨价20%+，$SNDK与$META签长期协议，$MU签16+长期协议。市场：继续抛售存储股。800G光模块需求大幅上调？激光器售罄至2029年初？市场：抛售光电子和激光公司。
英文原文
@michaelsikand DRAM 20%+ hike for next quarter, $SNDK LTAs with $META, $MU 16+ LTAs. Market: proceeds to sell off memory. 800G transceiver revision sharply upward? Lasers completely sold out into early 2029? Market: sells off photonics and laser companies.
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苹果或并购AI芯片公司并大幅上调资本支出，利好光网络及代工。
$AAPL 看起来打算收购 AI 芯片公司来运行 AI（来源：The Information）。目前，$MSFT、$META、Amazon、Google 正在承担 AI 资本支出。但如果苹果在并购后加入其他公司呢？一种可能的场景是，他们大幅上调资本支出以建设自己的 AI 基础设施。因为他们可能目睹了 Google 因算力限制切断 Meta 的情况……或者当你与 OpenAI 合作开发大语言模型时会发生什么。然后他们意识到拥有自己的基础设施有多么重要。从光学网络到晶圆代工厂，这一场景在主题上会相当看多，而且是市场意想不到的？让我们看看会发生什么。
英文原文
$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.
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澄清谣言后散户投降，光子学与英伟达路线图成焦点。
是的，目睹散户投降（retail capitulation）很有趣。在我们澄清了彭博社关于 Meta 计算（Meta compute）的文章（通过其内部备忘录）之后。以及英伟达（Nvidia）否认了两份关于延迟的报告之后。这两件事正是最初引发抛售的原因……所以，光子学（Photonics）/ 英伟达的路线图
英文原文
Yep, it’s interesting to witness retail capitulation. After we got Bloomberg Meta compute article cleared up by their internal memo. And the 2 reports on delays were denied by Nvidia. Both of which caused the selloff in the first place... So Photonics / Nvidia’s roadmap
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Meta内部备忘录显示AI算力及供应链投入加速，2027年翻倍。
没有什么比内部 $META 备忘录被公开更令人兴奋的了。 显示 AI 正在按常规加速： - 与三星和 $SNDK 签署长期协议(LTA)以采购内存 - 与住友电气签署长期协议(LTA)以采购光纤 - 预计今年部署 7GW 计算基础设施，2027 年翻倍。 - 高达 1450 亿美元 https://t.co/5GagBkPVNA
英文原文
Nothing like an internal $META memo getting published. Showing AI ramping as usual: - LTAs signed with Samsung and $SNDK for memory - LTAs signed with Sumitomo Electric for fiber optics - Expected to deploy 7GW compute infra this year, and doubling in 2027. - as much as $145B https://t.co/5GagBkPVNA
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Meta 斥资百亿建数据中心扩 AI 算力，反驳媒体看空论调。
$META 将在加拿大建设一座耗资 100 亿美元的新数据中心，以扩大 AI 算力。媒体将“Meta 计算”框架化为“过度建设”和“削减资本支出”的说法，现在看来真是大错特错。
英文原文
$META to build a new $10B DC in Canada to expand AI capacity. So much for the media framing of “Meta Compute”as overbuilding and cutting capex. https://t.co/0QgSls0s9o
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Meta 在市场崩盘后通过强调算力需求进行危机公关。
彭博社和 $META 正在做损害控制，此前他们因“Meta 计算”的叙事框架导致市场崩盘： 发言人：“Meta 仍然渴望更多的算力。 它仍在推进昂贵的新数据中心计划，并最近签署了重大计算协议 https://t.co/gJ0Uie0Dr5”
英文原文
Just Bloomberg and $META doing damage control after crashing the market with Meta Compute framing: Spokesperson: "Meta is still hungry for even more computing power. It is still moving forward with plans for expensive new data centers and recently inked major computing deals https://t.co/gJ0Uie0Dr5
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市场因误导性文章看空Meta算力及NVDA供应链而抛售。
@AlzayakMoh60610 我个人也这么认为。感觉市场在那篇误导性的彭博社关于 $META 算力（Compute）的文章，以及几篇 SemiAnalysis 看空 $NVDA 供应链的帖子发布后，就开始抛售了。因为算法和对“Meta 算力过剩”这一头条的解读，导致资本支出削减并退出。
英文原文
@AlzayakMoh60610 I personally think so. It feels like markets started selling off after that misleading Bloomberg $META compute article, and a couple of SemiAnalysis bear posts on $NVDA supply chains. Since algos + headline interpretation of “Meta excess compute” was cutting capex + dropping out
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驳斥CPO延迟谣言，看好机构回补META等AI龙头。
我至今见过的最愚蠢的主题性抛售之一： - $META 的计算新闻并不新鲜 - 共封装光学(CPO) 延迟报告 1，已被 $NVDA 驳斥 - 共封装光学(CPO) 延迟报告 2，已被 $NVDA 驳斥 我有高度信心，机构最终会做多他们正在 https://t.co/bhukB0SKoF 抛售的那些股票。
英文原文
One of the dumbest thematic selloffs I’ve seen to to date off: - $META compute news that’s not new - CPO delay report 1, that got refuted by $NVDA - CPO delay report 2, that got refuted by $NVDA High confidence, institutions will end up going long on the same names they’re https://t.co/bhukB0SKoF
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感谢彭博报道，长期看好光子学、存储、能源及物理AI。
我想特别感谢彭博社关于 $META 算力(compute)的报道。以及那两篇连续看空共封装光学(CPO)延迟的文章。但我认为从主题上看，光子学、存储、能源和物理AI在长期将跑赢大盘。https://t.co/vghsG5H2w5
英文原文
I’d like to give a special thank you to Bloomberg’s piece on $META compute. As well as the 2 back to back bear posts on CPO delays. But I believe thematically photonics, memory, energy, and physical AI will outperform in the long run. https://t.co/vghsG5H2w5
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三星SDI圆柱电池短缺成瓶颈，影响Meta和Amazon的BBU供应。
看来高功率圆柱形电池/BBU电池出现了短缺（即瓶颈）： - 三星SDI向Simplo供应电芯，Simplo将其组装成BBU供应给$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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博主因误传利空大幅加仓光通信板块，视市场抛售为无关紧要。
@zhouyuan888 我个人今天大幅加仓了一些光通信(optical)头寸。 受虚假的Meta资本支出削减和虚假的共封装光学(CPO)延迟消息影响，市场出现了无关紧要的抛售。 不过我无法建议其他人该怎么做。
英文原文
@zhouyuan888 I personally heavily added to some of my optical positions today. Immaterial selloff off false meta capex cuts and false CPO delays. I can’t give advice on what others should do though.
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指责Semianalysis误导CPO报道致光子市场崩盘，需宏观看多。
@softmaxedx 我怪 Semianalysis 误导了共封装光学(CPO)延迟的报道，而 $NVDA 已对此予以驳斥，这导致整个光子学市场崩盘。 加上全球期刊 $META 最近的误导性报道…… 但我认为他们意识到一切都在随之崩盘，所以他们需要一篇宏观看多的帖子。
英文原文
@softmaxedx I blame Semianalysis for crashing the entire photonics market for misleading CPO delay reporting that $NVDA refuted. Alongside global journal $META recent misleading reporting… But I think they realized everything was crashing along with it, so they needed a macro bull post.
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澄清META误传，并确认AAOI等三股为重仓标的。
@ontrialperiod 当全球和美国市场因关于 $META 的误传和断章取义的引言而暴跌时。我大概需要澄清一下？ 话虽如此，$AAOI、$SIVE 和 $CCXI 确实构成了我投资组合中的大比例持仓。
英文原文
@ontrialperiod when global and US markets crash off misinformation and out of context quotes from $META. I probably want to clear that up? That thing said, $AAOI, $SIVE, and $CCXI do make up large concentration in my portfolio.
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驳斥Meta产能过剩论，称光子板块暴跌源于误导叙事。
SemiAnalysis 关于 $META “产能过剩”及 $NBIS 等市场反应的分析： “我们认为 Meta 的数据中心与算力建设将加速”。 “2027 年的资本支出(Capex)将高得令人震惊”。 近期全球暴跌，尤其是光子学(photonics)板块，是愚蠢的……源于误导性的叙事。
英文原文
SemiAnalysis on $META “overcapacity” and market reactions with $NBIS and others: “We believe Meta’s datacenter and compute will accelerate”. “Capex in 2027 will be shockingly high”. Recent global crash, especially in the photonics sector was stupid… Off misleading narratives https://t.co/DhbypH2vaQ
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驳斥Meta退出AI竞争及降资本支出的谣言，引用澄清。
最近关于 $META 的虚假信息很多。近期主要期刊声称：“过去四个月的 AI 智能体(AI Agent)开发并未‘如我们预期般加速’”，以此推动 Meta 退出竞争或降低资本支出(capex)的叙事。正如 Wang 澄清的那样：https://t.co/HQQlnWHXoo
英文原文
Lot of misinformation recently about $META. Recently major journals have been stating “AI AGENT DEVELOPMENT OVER THE LAST FOUR MONTHS HASN'T 'ACCELERATED IN THE WAY WE EXPECTED” To push some narrative about Meta dropping out of the race or lowered capex: As Wang clarified: https://t.co/HQQlnWHXoo
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Meta新AI模型算力大增追平GPT 5.5，重回AI竞赛。
$META：即将推出的AI模型“Watermelon”已追平OpenAI的GPT 5.5。Wang指出，其算力消耗比前代“Avocado”高出“一个数量级”。谁说他们又退出AI竞赛了？
英文原文
$META: upcoming AI model “Watermelon” has caught up to OpenAI’s GPT 5.5. Wang noted it uses an "order of magnitude" more compute than its predecessor “Avocado”. Who said they were out of the AI race again? https://t.co/X2sOgMRTuw
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彭博旧闻引发半导体板块大跌，多只个股跌幅超10%。
看到半导体市场因彭博社报道再次被框架化解读而崩盘，总是很有趣。瑞银分析师在关于 $META 的报告中称：“这并非新消息”。无论如何：$AEHR 下跌 -18.3%；$AAOI 下跌 -17.13%；$SIVEF 下跌 -15.4%；$SNDK 下跌 -14.8%；$TER 下跌 -13.8%；$GLW 下跌 -11.4%；$MRVL 下跌 -11.2%。
英文原文
Always a fun time seeing semi markets crash from Bloomberg report framing once again… UBS analyst on $META report: “this is not new news”. Regardless: $AEHR down -18.3% $AAOI down -17.13% $SIVEF down -15.4% $SNDK down -14.8% $TER down -13.8% $GLW down -11.4% $MRVL down -11.2% https://t.co/itWeWj5waE
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摩根士丹利上调AI资本支出预期，认为AI板块抛售过度。
@mkfilko 例如，摩根士丹利也预计受 $META 公告影响，AI 资本支出(AI capex)预期将上调…… 因此，所有 AI 概念股(AI names)的抛售似乎有些过火了。 https://t.co/UTyz9a7KrM
英文原文
@mkfilko Morgan Stanley for example is expecting an upward revision on AI capex from the $META announcement too… So selloff on all AI names seems like a bit much. https://t.co/UTyz9a7KrM
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富国银行认为Meta出售多余算力验证了AI需求强劲及新云服务商逻辑。
富国银行：$META 计划出售多余算力，这是关于底层需求和 AI 单位经济学的积极信号。 “尽管有此转变，我们不预计 Meta 的资本支出会缩减，或整体算力需求降低。” 关于新云服务商(Neoclouds)：富国银行认为这验证了 https://t.co/ZUV3ZvOQuA
英文原文
Wells Fargo: $META intent to sell excess compute is a positive signal around underlying demand and unit economics of AI. “Despite this shift, we don’t expect a pullback in Meta’s capex or that overall compute needs are lower” Regarding Neoclouds: WF thinks it validated the https://t.co/ZUV3ZvOQuA