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6月24日 Updates 1、液冷 英伟达Rubin平台采用全面液冷，这里面机会也不少，我准备延续昨天的观点重点关注一下。 $VRT 在昨天市场的下跌中并没有保持相应的强度，我个人还是会继续持有。国产的话，同样也是要关注卡位在英伟达产业链上的股票。 2、AI 需求 昨天看到一条消息是 GPU 租赁价格已经下跌30%。对此，市场的担忧是AI 对算力的需求可能在变弱。 我觉得可以从另外一个角度来看，B200 租赁价格下跌，不一定说明 AI 需求弱，更可能说明「GPU 上架速度 > 可立即被高价消化的有效需求」。以及，我问了朋友，B200 本身就是过度用的，之前 B300 量太少，很多公司只能租 B200，而现在可以该租 B300。所以租赁价格下跌。 所以这件事我不是太担心。 3、市场回调 昨天说了，市场回调更多是技术性去杠杆，而不是 AI memory 基本面崩坏。7月我的重心还是会放在 neocloud（ $NBIS $CRWV - 有被动资金去买，就是会强很多）和存储上。要上杠杆最好等这周的 MU 财报（只要不出大雷）和 PCE 之后。今天反弹更多是说明恐慌性卖压有所缓和，但还没有确认趋势修复。 还有一个消息是美股那边要推出一个2x DRAM 杠杆，这个是情绪放大器，但也会带来潜在的风险。我会辩证地去看这个事件。 之前我一直在讲流动性的问题，大概就是 战争/贸易中断把一部分贸易融资和营运资本困在美国金融市场里 → 这部分钱没有回到真实贸易循环，于是变成金融市场流动性 → 推高美股和杠杆 → 如果战争结束、贸易恢复，这些钱重新回到商品/贸易链条，美股的买盘会消失，原油买盘会回来。 但还是有一些片面。AI 给了这个观点做了一些补充：需要 SOFR、repo、信用利差、股市 breadth、油价和中国原油数据共同确认（图一）。 后面我会继续跟踪这些数据。 4、电力核能 昨天的消息：美国能源部将提供175亿美元低息贷款，让公用事业公司为 Westinghouse AP1000 反应堆下设备订单，用来启动新核电建设。而 CCJ 持有49%的 Westinghouse 股份，以及是美股当前唯一盈利的、也是头部的铀矿公司。 简单来说就是：AP1000 设备订单 → Westinghouse 收入/EBITDA → 49% 权益穿透给 Cameco → CCJ 受益。 所以昨天我买了一些 CCJ（49% Westinghouse + 铀矿/燃料服务 + 已盈利 + 核电供应链穿透最清楚）。 5、SpaceX $SPCX 这几天跌了很多。我的观点是它这波下跌更像 IPO 后低流通盘里的筹码踩踏（散户行为），跟基本面没啥关系。 大概就是：低流通盘 + 散户高拥挤 + AI/科技大盘回调 + options 防守仓位增加这样。 短期来看（解锁前），我认为 SpaceX 价格已经进入底部区间，散户因为昨天的下跌出逃，机构（木头姐）进场，周五和7月6日还会有 Russell indexes、Nasdaq 100 的被动基金入场。买卖双方的供需关系整体发生了改变。我是看好 SpaceX 价格继续往上走的。 事件进展如图二所示。 最后：A股目前就是光力和剑桥。如果有仓位更新也会在日报中体现。我会要求自己平心静气，让自己的节奏慢下来。

I think something to highlight also is not all my ideas are green, especially on short term timeframes! My core three themes are Neoclouds (Energy), Memory, and Photonics. And I'm glad I chose the literal top performers for each segment from $NBIS to $EWY leaps to $SIVE. However, I still have pretty large losses following the false analyst report on CPO delays that $NVDA refuted: That nuked 3 of my TW CPO longs from Foci, Msscorp, Xintec and others. (which are heavily red). Shunsin / Win Semi are holding up much better though. Some of the other ones in Japan that I've mentioned like Towa, Harmonic Drive, NCI, etc. are performing much better following short-term volatility. As for Korea yes I have PTSD for from Auros and now Foosung that are both both red (I didn't own 093370 though, just got PTSD watching price action). Idk if I'll touch Korea again, just way too volatile. But I still think those will end up green eventually following Sk hynix/samsung qualifications + HVM, and the future japanese supply chain shutdown. I also did change some of my previous long ideas like $XLU following the Iran War nuking all chances of rate cuts from 3-4 down to 0, and that didn't play out too well. Three software names I mentioned previously like $TTD, $META ended up red. $SNAP, I also changed my thesis after noticing the endless SBC accounting methods. $RDDT idea was finally in the green from $130 -> $170 after a long time. But I think the vast majority of my ideas like $MRVL, $NBIS, $ARM, $INTC, $MU, $LITE, SK Hynix, Samsung, for larger cap. Down to $AXTI, $LITE, $AAOI, $RPI, $IQE, and others for smaller cap positions directionally play out pretty well. With random stuff like $SIMO, $HPS.A, $TSEM, $AEHR, $LPK, $SOI, $ALRIB, and so on all ended up turning out aight too. The blended average is kinda overwhelmingly green since majority of my long ideas are triple digit YTD. But I've definitely missed a few. Also entry point is really important too... I mentioned $AAOI at $30 or $AXTI at ~$13, but not everyone has the same entry point. So if someone bought AOI at $220 and it dropped to $160, I'd feel bad. But regardless, I'd prefer to judge how ideas play out on medium term timeframes over a few months rather than a few weeks.

买了 10wu 的 NeoCloud 龙头 $NBIS 试试水。 在币安钱包没找到 bStock 版本的 $NBIS ，只找到了 Ondo 的，不知道啥时候上线？ @BinanceWallet @binance @heyibinance @cz_binance

加密矿工到 NeoCloud：币圈转型 AI 最成功的一批企业 当币圈人还在惊叹 AI 的发展和股价的暴涨时，已经有一批企业悄然完成了从 Crypto 到 AI 的转型。 曾经它们是加密矿工，靠挖 BTC 和 ETH 赚钱； 现在它们已经或正在转型 NeoCloud，靠给 OpenAI 和 Anthropic 提供 AI 算力赚钱。 1. 什么是 NeoCloud? 2022年 ChatGPT 推出后爆火，出现了历史级别的 GPU 算力短缺，NeoCloud 应运而生。 Neocloud 可以理解为新一代 AI 云服务商，他们为客户提供大规模AI算力，不像 AWS/Azure 做通用云，代表公司有 CoreWeave，Nebius 等。 2. 为什么是加密矿工? 加密挖矿和NeoCloud，本质上做的是同一件事：把电力转换成算力赚钱。 矿工的商业模式： 电 -> GPU/矿机 -> BTC/ETH 算力 -> 区块奖励 NeoCloud的商业模式： 电 -> GPU -> AI 算力 -> OpenAI/Anthropic 合同 如果从零开始做 NeoCloud，你需要：买电，买地，买GPU，建变电站，建冷却系统，建数据中心，组运营团队。 而这些，矿工恰好都有！ 3. 龙头 CoreWeave $CRWV 的故事 目前 NeoCloud 的龙头之一 CoreWeave $CRWV 的前身叫 Atlantic Crypto，是一家创立于 2017 年的 GPU 挖矿公司。 2019 年加密熊市，公司更名为 CoreWeave，并用筹集的 300万美元从破产的矿工手上买了4万张GPU（矿卡），一边挖矿，一边组建GPU云服务。 2021 年加密牛市到来，CoreWeave 没有选择继续挖 ETH，而是将手上的显卡以 10x 的价格全部变现。他们用赚来的钱 + $50M 融资，从英伟达购买数据中心级的显卡（A100 等），开始建立AI数据中心。 2023 年是改变命运的一年，ChatGPT 爆发，AI 公司疯狂缺 GPU，CoreWeave 知道 NeoCloud 东风以来。这一年，CoreWeave 获得英伟达战略投资成为“亲儿子”，拿到微软的大合同，开始迅速飞速扩张。 2025 年，CoreWeave 上市，ticker 是 $CRWV，成为美股 AI Neocloud 龙头之一。 今天的 CoreWeave 已经从 ETH 矿工完美转换为 AI infra 公司，价值得到了重估：目前 $CRWV 市值 $64B，而 ETH 市值仅为 $216B，接近 1:3。 4. “一人得道，鸡犬升天” CoreWeave 的成功也重新定价了整个矿工行业，市场意识到，既然 CoreWeave 可以从 ETH 矿工变成 NeoCloud，那其他公司是不是也可以？ 于是，一批矿工迎来重新估值。 目前美股 NeoCloud 赛道除了 Nebius 之外，基本都是正在或者已经转型的矿工。我们按照以下3个指标，可以把他们进行分级： - 电力储备：GPU可以从英伟达买，但是大规模电力的审批/购买/建设周期较长。 - AI数据中心数量：BTC/ETH矿场转型AI数据中心有门槛 - AI大合同数量：产品被市场认可，现金流健康，才能纳入 NeoCloud 估值体系 S CoreWeave $CRWV 拿到 OpenAI、Anthropic、Meta、Microsoft 等大客户合同 Nebius $NBIS 前身 Yandex，俄罗斯版谷歌，非矿工转型，拿到 Microsoft、Meta 合同 A IREN $IREN 拿到 Microsoft 合同 Applied Digital $APLD 前身 Applied Blockchain，拿到 CoreWeave 合同 TeraWulf $WULF 拿到 Fluidstack 合同（Google 背书） Cipher $CIFR 拿到 Fluidstack 合同（Google 背书） HUT 8 $HUT 拿到 Fluidstack 合同（Google 背书） Core Scientific $CORZ 拿到 CoreWeave 合同 B Galaxy Digital $GLXY 其中的 Helios 正在从矿工转型 NeoCloud，拿到 CoreWeave 合同 MARA $MARA Riot Platforms $RIOT 前身 Riot Blockchain CleanSpark $CLSK Bitdeer $BTDR 分拆自比特大陆体系的矿工 C Bit Digital $BTBT Hive Digital $HIVE.NE 前身 HIVE Blockchain Keel Infrastructure $KEEL 前身 BitFarms Greenidge Generation $GREE 加密矿工：“谢谢你中本聪，谢谢你 Vitalik，但是 AI 更需要我。” 本文仅作科普，没有投资建议

Just some random thoughts, I do think AI is the most disruptive technology in human history. To the level of agricultural or industrial revolution. Since Anthropic, OpenAi, XAI, and others are racing to build superintelligence. The amount of economic impact can't be measured if AI helps find cures for cancer or accelerates discovery for Quantum Computing. Or if AI end up displacing the workforce, which increases profitability for companies. The US Gov has every incentive to keep the buildout going too, as the implications from Warfare, Cybersecurity, is also immeasurable if China takes the lead. So there's likely to be incentives and subsidies to win, even if there's not enough profit derived LLM training/inference. As for sustainability, when you look upstream, $GOOGL is able to fund it majorly with their own cashflow, same with $AMZN, $MSFT. More lukewarm on $META. Very iffy about $ORCL. But I do see some bubbles forming around debt interest like $CRWV. Maybe circular valuations that's happening with OpenAI backlog agreements or $NVDA / $AMD agreements with Neoclouds to buy their GPUs. But as seen with $MSFT and having OpenAI be a major part of the backlog, it did correct off the information, so "bubbles" like that do pop despite the overall markets increasing. Definitely don't see a bubble in upstream semiconductors from $LITE to Sk Hynix though since the amount of profit they get from the buildout would likely be insane to make up for capex decreasing. OpenAI was actually my biggest fear from contagion, eg. $CRWV, $CBRS and others, but they just raised a lot. So think it will be fine for another 1 1/2 years of capex, especially if they IPO this year. I also don't think we'll get massive Fed tightening despite "predictions" since this will trigger a contagion since many of these players rely heavily on debt. And although the Fed is independent, don't think Trump would have supported someone who is against his administration goals. As for semiconductor valuations going up every day like $AMD or $MU, there's probably going to be some corrections here and there. Everything going up together is kinda unhealthy. Can't time the capex peak but just from $AVGO and other projections, it just keeps accelerating exponentially into 2028. Especially as everyone is starting to sign multi year agreements as well. OpenAI contagion / hyperscaler capex decreasing / fed tightening was what I'm looking out for, and no blaring signs of any of those yet. So I think the music will keep playing for this year at the bare minimum.

Jensen Huang just handed every AI cloud investor the clearest framework for picking winners and the question is who actually understands what he said (Save this). Compute is not just infrastructure anymore but rather revenue, and performance per watt is the mechanism by which that revenue becomes profit. The argument Jensen made at Computex deserves to be unpacked fully because it completely reframes the neocloud investment thesis. Every AI factory operates inside a fixed power envelope and once your data center is built and your power contracts are signed, that ceiling does not move. One gigawatt means one gigawatt and the only variable that determines how much money you make is how many profitable tokens you can squeeze out of each watt of electricity flowing through your facility. An operator who chooses cheaper, lower efficiency chips because the upfront cost looks attractive is not saving money and they are permanently handicapping their revenue ceiling for the life of that asset. Every watt that produces fewer tokens is a watt that will never recover those lost revenues, for as long as that infrastructure runs. Jensen's second point is about asset longevity and it is equally important to understand. AI software is evolving every few months from CNNs to Transformers to Mixture of Experts to agentic systems and that pace is not slowing down. A hardware architecture that cannot adapt to new software paradigms has a short useful life, and a short useful life means a high total cost of ownership. Infrastructure built on Nvidia's CUDA ecosystem has a built in software longevity advantage because every new model, framework, and optimization is written for CUDA first. Now apply that framework directly to Nebius, which is the most important stock in the neocloud category. Nebius built its entire infrastructure around full Nvidia integration from the ground up. Nvidia and Nebius announced a formal strategic partnership in March 2026 specifically to develop the next generation of hyperscale AI cloud deployments together. Nebius is already offering Blackwell Ultra GB300 NVL72-powered instances to customers, meaning it has the highest-performance GPU currently available commercially running inside its own infrastructure. The token economics follow directly from the architecture. Contracted power has now passed 3.5 gigawatts, with more than 75% of that capacity owned outright rather than leased. The Meta deal alone is worth $27 billion over five years, and the Microsoft agreement is worth up to $19.4 billion. The 2026 plan targets 480 megawatts of live AI cloud capacity, 150,000 GPUs deployed, and $3.7 billion in annualized revenue implying next twelve month revenue growth of roughly 489%. Q1 2026 revenue was $399 million, up 684% year-over-year, and the CEO said on the earnings call that everything Nebius builds gets sold immediately. Fully booked capacity at an AI cloud running Nvidia's best hardware, inside a power-scarce environment where performance per watt is the direct driver of profitability, means Nebius's revenue ceiling moves in direct proportion to the power it can bring online. CoreWeave, a direct comparable, trades at a materially higher multiple on a smaller contracted power base. Nebius owns more of its capacity outright, has a longer-dated and larger contract backlog on a per-gigawatt basis, and is growing revenue at a faster rate. Milk road remains extremely bullish on Nebius and come join Milk Road Pro and get our full Nebius positioning breakdown and our other AI trades for just a dollar. Link down below!

我的光板块持仓有 aaoi 和 sive 。CPO会在2027年彻底爆发。光的股票可以买完就不看了 昨天看了老黄开会，今天我又加了neoclouds板块。买入 nbis 。根据Vera Rubin的出货ramp up，2027年也是 nbis 的爆发年

AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them.  There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.

Roundhill with a filing for a Neocloud ETF.. which according AI is a "specialized cloud infrastructure provider that focuses almost entirely on GPU-as-a-Service (GPUaaS) to power AI and machine learning workloads"