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Jensen Huang matters to Nvidia because he can take technologies his engineers believe are possible and turn them into products the whole company commits resources to, takes risks on, and has to deliver. That's why the supply chain gets such strong order visibility and is willing to keep up with aggressive spec upgrades. It also forces competitors to follow, which drives technology upgrades and supply chain investment across the entire AI industry. Between the two, deciding on aggressive spec upgrades and making them happen is the harder part, compared with giving the supply chain order visibility. Huang doesn't need to be the person at Nvidia who knows the most about new technologies like HVDC, CPO/NPO, or CCL/PTFE. His value is that he weighs strategy, organization, technology, and supply chain all at once, then makes the call quickly and puts resources behind it. Based on what's public so far, it looks hard for Huang to come out of this unscathed. If so, the practical move may be to gradually reduce Nvidia's reliance on Huang's personal decision-making while preparing a succession plan. Along the way, two things are worth watching to gauge where AI technology and investment are heading: whether Nvidia can keep developing new products and technologies as efficiently as before, and how competitors respond. Supply chain research will be an important basis for that judgment.

黃仁勳對 Nvidia 的重要性，在於他能把工程團隊認為可能實現的技術，轉化成全公司願意投入資源、承擔風險，而且必須交付的產品。正因如此，供應鏈才能有極高的訂單能見度，並配合激進的規格升級。而這也帶動了競爭對手的跟進，進一步推動整體 AI 產業的技術升級與供應鏈投資。 如果硬要比較，做出並落實激進規格升級的決策，比提供供應鏈訂單能見度更困難。黃仁勳不必是 Nvidia 內部最懂 HVDC、CPO/NPO 與 CCL/PTFE 等新技術的人，但他的價值，在於同時考慮到策略、組織、技術與供應鏈，並迅速拍板定案與投入資源執行。 就目前公開資訊，黃仁勳似乎很難全身而退。在這前提下，比較務實的做法，可能是階段性降低 Nvidia 對黃仁勳個人的決策依賴，同時布局接班計畫。而在這過程中，Nvidia 能否延續高效的新產品與新技術研發，以及競爭對手如何因應，將是觀察整體 AI 產業技術發展與投資趨勢的重點，而供應鏈研究則能提供重要的判斷依據。

The Trump administration has discussed beginning reciprocal nuclear site visits with China and plans to continue pushing for that possibility during in-person meetings in the coming months, according to sources familiar with the matter.

$LITE CEO: "Next year with the advent of CPO and NPO in 2027, our estimates are that we'll be undershipping demand... By 70%. Literally 70%. So we can only supply 30%. And this has caught us by supply. By 2029-2030, we get to some level of balance." Source: Global Photonics Economic Forum Day 1 (7:57:15 - 7:58:00) Any other players with laser capacity coming online are probably going to get more market attention soon.

♾ Optimum Pulse: September 21 - 27, 2026 🔻🔻🔻 1. "Must-watch" Podcast @get_optimum CEO Prof. @MurielMedard explains on A Global Tech Podcast how to optimize latency in DeFi and why a hybrid approach between TraFi and DeFi as most likely. 🔗 Full interview with @AGTPinsights (with correct timestamp): ---- 2. ETHSofia 2026 CPO @sajidazouarhi attended the panel discussion Building Under CROPS: What the Ethereum Foundation's Mandate Means for Developers and Institutions alongside representatives from European Ethereum Institute, Ethereum Foundation and 0xbow. 🔗The full recording will be available soon ---- 3. APAC Tour - Part 2 Save the Optimum team's schedule this later September and early October 👇 🇰🇷 Korea Blockchain Week: 📍 Sept 28 - Ethereum Korea One Genesis 📍 Sept 29 - signature CODED@KBW event 🇸🇬 Token2049: 📍 Oct 6 - co-hosting an event with AMBR 📍 Oct 7 - Digital Asset Summit (DAS) 2026 ---- 4. Weekly Role Upgrade - Refined Batch 29.

$NVDA earnings TLDR: Revenue: $96.22B vs. ~$92.17B (beat) Adj. EPS: $2.22 vs. $2.09-$2.10 (beat) DC: $89.0B vs. ~$86.3B (beat) Adj. gross margin: 75% vs. 75% Hyperscaler Revenue: $48.71B from $43.05B last quarter (custom ASIC growth hasn't really prevented this revenue from accelerating) For guidance: Revenue: $108B vs. ~$104.2B Adj. gross margin: 74% vs. 75% (kinda the only soft spot) Revenue ramp has been genuinely absurd over last 4 quarters. -> $68.1B -> $81.6B -> $96.2B (we are here) -> next quarter guidance: $108B, despite assuming zero China DC compute revenue. Fun thing to note is Nvidia says its commitments jumped from $119B last quarter to $279B, primarily related to procurement of memory (for next few years).. So memory goes brrr. TLDR: AI keeps on going brrr. Nvidia is clearly leading the charge and no obvious signs of demand slowing. Given Nvidia is already a $5T+ company, I think most of the alpha comes from how Nvidia's architecture/capacity decisions impact elsewhere in the supply chain (eg. CPO, memory, 800V) nowadays. Rather than simply finding mispricing in Nvidia itself. Regardless, all the fun stuff happens in the earnings call in a few min.

HBM越堆越高的逻辑，可能要反转了 瑞穗证券昨晚发了份研报——他们的分析师刚跟SemiAnalysis总裁Doug O‘Laughlin吃完晚饭，信息量很大。 美股投资网挑几个最核心的结论先说： 内存还是AI最大的瓶颈。但这个瓶颈的形状，正在变。 HBM层数可能不升反降。GPU出货量反而能增加20-30%。 听着矛盾。往下看你就明白了。 HBM层数：风向在变 瑞穗刚把美光目标价从1375美元砍到1300美元，闪迪从1900砍到1875。应用材料从650砍到590，泛林从370砍到365。 砍价理由不是需求不行——是 "DRAM降规风险" 。 Doug跟我们聊到一个关键判断：GPU厂商未来可能在HBM上只堆4-8层，12层的吸引力在下降。16层、20层HBM和混合键合，在未来的DRAM世代里充满不确定性。 市场一直预期HBM会越堆越高。 现在剧本可能反过来。 一个关键的逻辑反转：HBM少了，GPU反而更多 Doug的原话是：HBM转换比率在下降，从3:1降到5:1。 逻辑链条非常直接： 每颗GPU用的HBM层数减少 同样数量的DRAM晶圆，能造出更多GPU GPU/AI芯片出货量可能增加 20-30% 更多GPU出货 → 更多训练和推理需求 → KV Cache总DRAM位元需求反而增长 少即是多。 内存含量下降，出货量上升，总需求不降反升。 铜缆和光互联：正在抢跑 Doug对铜缆的态度很明确：AEC是AI机架内连接的核心方案。 CRDO走在最前面。 Lumentum那边，NPO（近封装光学）被管理层定位为"增量机会"，预计2027年底到2028年进入市场。InP衬底的需求已经严重超过供应。 CPO（共封装光学）呢？还得等2-3年。 短期赢家是铜缆AEC和NPO/SiPh/InP。CPO还早。 800V可能推迟 聊到数据中心电力方案的时候，Doug提了一个很有意思的观察：数据中心运营商对800V高压直流方案有抵触。 原因很实际——变化太大，员工需要重新培训。 数据中心正在转向±400V双极双路机架。在传统400V直流布局上爬坡更容易，对SiC和辅助设备的需求反而减少。 800V推迟 ≠ 电力需求减少。只是换了一条更慢、更稳的路。更多的电压调节模块会补上来，继续支持GPU出货。 2027年的两个大数字 Doug还提到了2027年的两个预期： XAI/USPCX的10GW电力 5000亿美元的NOCL资金 BIC 2027年会给这些项目带来顺风。 10GW是什么概念？ 一个典型核电机组约1GW。10GW就是10座核电站的电力，全砸进AI数据中心。 这顿饭的核心结论：内存还是瓶颈，但瓶颈在变形状——层数在降、出货量在升、总位元需求不降。 短期赢家： AEC铜缆（CRDO）、NPO/InP（LITE） 短期承压： WFE设备商（AMAT/MKSI/LRCX），目标价已被下调 需要观望： CPO（还要2-3年）、800V（可能延迟） 大方向没变： AI算力需求还在往上走。只是技术路线在微调，供应链的赢家和输家在重新洗牌。 美股投资网认为，这顿饭最有价值的信息不是某个目标价上调或下调，而是HBM层数可能见顶这个信号。 如果市场一直按"HBM越堆越高"的逻辑在给内存和设备商定价，那这个预期的松动，就是最大的风险点。 $CRDO $LITE $AMAT $MKSI $LRCX #美股#

I feel like AI investing is simpler than what people expect. Because $NVDA + Jensen literally tells everyone what's coming. But somehow. Almost every. single. time. Markets dismiss it until it actually happens? Be Nvidia in 2025: Buys up EML and laser capacity. Markets dismissing it: "Photonics is a bubble and like quantum! ____ company is a scam with shady management" 1 year later: $LITE +678%, $AAOI +475.12%, $COHR +260.7%, $AXTI +3,843.9%. _ Nvidia in 2026: Buys up CW/EML capacity with LTAs. 800V shift. Extraordinary explicit about CPO shift. States Physical AI as the next theme. Markets now: "CW players are meme stocks! 800v, CPO is not coming anytime soon, Humanoids are not profitable!" Yeah... We'll see what happens in 2027. I think I'm putting my money on Jensen/Nvidia as the leading indicator.

半导体隐形卡位者 一片晶圆，为什么还要再“长”几十层？ 白线主播 Minta 指出，AI 数据中心竞争正在从算力芯片延伸到高速数据传输，而光通信产业链的瓶颈也正在向上游材料迁移。IQE 负责 InP 外延生长，处于 AI 光通信产业链中的关键位置：上游连接 InP 晶圆，下游进入激光器、探测器和高速光模块。 2025 年 IQE 光子业务增长 15%，2026 年公司将全年增长指引从超过 20% 上调至超过 30%，并获得 1400 万美元多年量产订单。随着 AI 数据中心向 1.6T 和 CPO 演进，隐藏在光模块背后的材料供应链正在受到关注。 内容不构成任何投资建议，请严格遵循当地法律法规。 《白线 WhiteLine》由吴说团队出品，从 Crypto 走向更广阔的资本市场，关注 AI 时代下的趋势变化与交易机会。