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GWは、撮影予定なし レジャー施設へ行ったり、旧友と久々に再会し、呑み会もあり！ AV鑑賞もあり！ FANZAで絶賛50%OFFキャンペーンの為、この機会に購入して有意義な休日を✨ 特にオススメ作品が 某有名アーティストをモチーフにヌキ所満載のため、ぜひ🙏 #FANZA# #GW休暇# #ジョジョ# #AI生成#

【GW期間の休暇のお知らせ】 いつもAimmxをご愛顧頂き、誠にありがとうございます☺️ ■5/3(水)~5/7(日) 上記期間に頂いたコメント・お問い合わせに関しては、5/8(月)以降、順次確認させて頂きます。 ご了承くださいませ。 詳細はこちら🔽

Brighten Your Sunday 本日もありがとうございました！🎙 休暇の方もお仕事の方も、充実したGWになりますように🕊 素敵な日曜日にして下さい✨ 📮番組へのメッセージ ✉️abemao@fmfuji.jp 📻タイムフリーはこちら▷ #ぶらさん# #阿部真央# #あべま# #15th_abemao# #fmfuji#

截至目前，美国以56GW容量领跑全球，其次是亚太（中国以外）15GW，欧洲中东非洲持有14GW，拉美2GW。Semi访谈了60多家公司，追踪1000多个数据中心，算出中国大概有24GW。 中国在电力供应、土建速度与成本上有较大优势，如下图，我国建一个100MW的数据中心仅需3亿美金（不含IT设备），美国需要15亿美金。 下图是Semi-analysis算的字节、阿里、腾讯、百度、华为5家公司的数据中心总容量。黄色为自建，蓝色为租赁。截至2026年，字节以5GW多居首，而且绝大部分是租的。华为大约持有1GW，几乎都是自建。阿里4GW，腾讯2GW+，百度1GW。

Feeling the AGI/ASI, few observations 1. Opus 5.5 really gives strong vibes of AGI (maybe not fully there, but we're very close, like 80%-90%). For example, few breakthoughs in training humanoids are needed. We need to move this intelligence into physical world. 2. I don't think Anthropic has discovered any magical formula. 3. Which means, SpaceXAI, Google, and others will soon follow. This prediction is based on the amount of compute they already have + additional compute being added all the time. 4. Never was more confident that Anthropic, SpaceXAI, Google, OpenAI, likely Meta, basically all big US AGI labs will have proper AGI in 2027. 5. And from there we'll move quickly to ASI territory (likely also in 2027). It looks like few GW of compute are enough for strong AGI, now imagine what we will able to do with 10-20GW of compute which are rapidly coming online. And then with 100GW-200GW... 2027 will be an utterly insane year.

1/ 美国AI数据中心缺的电，相当于六个纽约市。 摩根士丹利预计，到2028年数据中心总电力需求将达257GW，美国供电能力与销售预测之间仍有30%至40%的缺口。 纽约市的基础负荷约为5.5至6GW。换句话说，美国少了六个纽约市的电。👇

Grok Bot Summary of SpaceX CFO Bret Johnsen at Goldman Sachs Communacopia today. Vertical integration Vertical integration is the company’s core operating model, not a side strategy. - Rockets: own metal → engines → avionics → software - Starlink: own launch, satellites, and the end customer - AI: build facilities and power themselves, run their own models, sell to consumer and enterprise, and soon orbital compute Starship and launch Starship is the foundation for every other business. - Flight 13: big learning flight. Delivered demo V3 payloads, relit a Raptor, and got a soft, precise second-stage splashdown. Recovery team towed the stage back so engineers could study the heat shield. - Those learnings feed straight into Flight 14 and beyond. - Flight 14 (later this month): first revenue-generating Starship flight, flying production V3 Starlink satellites. - Later this year: aim to recover both first and second stages. Orbital compute Most of the AI industry agrees orbital compute is the future. Almost everyone else thinks it’s many years away. SpaceX disagrees because they control the stack. - Target: first orbital compute satellites next year - Scale: big compute in space into 2028 - Hardware approach: same V3 bus as Starlink, swap the payload, add larger solar arrays Why orbital can beat terrestrial on cost The crossover is about Starship reusability. - Falcon 9: first-stage reuse since Dec 2015; 500+ booster reflights - Starship: first stage already recovered/reflown; second-stage recovery progressing - Goal: reflight of both stages as soon as next year, which drops deployment cost sharply Terrestrial compute is getting more expensive (power, cooling, buildings, real estate). Orbital rides the opposite curve: cheaper rockets + better/cheaper satellites + scale. Johnsen said cost parity could come as soon as next year. Terrestrial compute and the $100B ARR goal - End of this year: on track for ~$100B ARR (annualizing the December number) - New update: another hosting deal closed earlier this month → about $1.1B/month starting Dec 1 → roughly +$13B ARR - Capacity: end this year well over 2 GW; next year 5–10 GW deployed - Confidence comes from line of sight to power, facilities, and permitting, plus being NVIDIA-exclusive for allocation - They stand compute up fast for themselves and for industry partners, which strengthens the NVIDIA relationship How they monetize compute Most hosting deals are short: ~90 days with a 90-day out (~6-month commits), including the newest deal. Why keep them short? - High conviction in their own products (Grok, Grok Bot, Cursor team after closing that deal) - Don’t want to lock forever capacity they may need internally - Internal bar: don’t let internal monetization fall below external hosting Earnings framing for next year: roughly $30–$50 per watt monetization range; they said they’re at the high end. Hosting customers appear to monetize even higher, which is why demand stays strong. Payback is under one year on new compute capex, so residual GPU value and financing options look attractive. “Not all CapEx is the same” — GPUs with <1-year payback are different from a launch tower built for decades. AI products and M&A Historically SpaceX was almost all organic growth. This year they did M&A because the AI product cycle rewards speed to frontier. - Closed Cursor deal weeks ago; product cycles already accelerating (called out Grok Bot) - Grok 4.6 improved on 4.5; 4.7 coming soon - Pitch: best infrastructure + competitive model + lower token cost = best position for customers - Market mood shift: months ago people bought the infra story but doubted the products; ~90 days later that skepticism is fading Starlink broadband Started as “better than nothing” (~2020–21). Now enterprise-grade with strong uptime/SLAs. - Resiliency pitch: boards will ask why Starlink wasn’t in the network if you go down - Mobility: aircraft backlog is large and production is ramping; cruise ships, yachts, trains too - Awareness, especially outside the US, is still a growth unlock - Longer-term: physical AI (robots, cars, aircraft) will need always-on connectivity terrestrial networks can’t fully cover Mobile / direct-to-cell Not a distraction. Same V3 bus, different payload. - Fly direct-to-device satellites through next year - Target service turn-on: first half of 2028 - V1 today (e.g. T-Mobile / T-SAT): text / light voice, great for emergencies and dead zones - Next gen: full 5G-quality from space - US: mid-band spectrum from EchoStar, FCC path for space + terrestrial - Go-to-market: flexible — own terrestrial build, or partner with carriers - International: same regulator-by-regulator playbook as broadband (Starlink now in 170+ countries) Near-term priorities: 1. Starship (enables everything else) 2. Terrestrial compute (funds growth and teaches them how to do orbital) Bottom line in one line Own the full stack, make Starship reusable at scale, use terrestrial AI compute as a cash engine now, and use the same satellite bus + Starship cadence to win broadband, mobile, and orbital AI.

今天看了马斯克的帖子和访谈，发现最后大佬们一致认为，还是缺电力，现在挺多GPU放在仓库，因为缺电，没有上架使用，电力成为第一大瓶颈！🧐 其中马斯克尤其提到燃气轮机。核心关注的几个美股标的： $GEV，全球三大燃气轮机之一，市占率35%左右，世界第一，2030年以前的订单已经全部卖完了，业绩完全不用愁。 还有最近AI股神Leopold和佩洛西，都大幅买入的 $BE，燃料电池巨头，目前已经跟甲骨文合作签订了2.8GW的协议，AEP也签署了价值26.5亿美金的离网数据中心供电协议。 包括还利好 $VST，天然气和核电巨头，并且很早在 ERCOT德州电网和 PJM美中东部电网的战略选址，对目前新建的AI数据中心有天然优势，比如今年1月份跟 Meta 就签订了20年PPA，总共2.6GW。目前Vistra 已经成为最亮眼的AI供电公司。 目前上述有两只票，我是长期持有的，最近考虑再逐渐加大仓位！DYOR！

吴说获悉，IREN 2026 财年第四季度营收 1.372 亿美元，基本符合预期；调整后 EBITDA 为 1,920 万美元，较预期低约 53%。AI 云服务收入环比由 3,360 万美元增至 7,050 万美元，比特币挖矿收入由 1.112 亿美元降至 6,670 万美元。公司目前运营 ARR 约 10 亿美元，2026 年容量已基本售罄，对应合同 ARR 约 40 亿美元，并新签一家 frontier AI lab 的多年期合同。近期三年期合同每 IT MW 收入超过 2,000 万美元，部分洽谈价格约 2,500 万美元。IREN 计划将累计 IT 容量由 2026 年约 0.3GW 提升至 2027 年约 0.8GW；现有现金、已承诺 GPU 融资及客户预付款合计约 140 亿美元。