Starcloud把Nvidia H100送入轨道，训练出首个太空大语言模型

2025年11月，该公司在太空首次训练出大语言模型。Starcloud已融资2亿美元，估值达10亿美元，距YC demo day仅17个月。

他们还向FCC申请部署8.8万颗卫星，用于建设太空数据中心。

创始人解释了为何在还不知道要建什么时就提前预订了SpaceX发射。

Philip Johnston (@PhilipJohnston) is the co-founder and CEO of @Starcloud_, the company building dat...

Philip Johnston ( @PhilipJohnston ) is the co-founder and CEO of @Starcloud_ , the company building data centers in space. In November 2025, Starcloud launched an Nvidia H100 GPU into orbit and trained the first large language model in space. They've since raised $200 million, hit a billion-dollar valuation just 17 months after YC demo day and filed with the FCC to deploy 88,000 more satellites. In this episode of @LightconePod , Philip walks us through their wild origin story, the engineering challenges behind the Starcloud-1, why they booked a SpaceX launch before they even knew what they were building and how data centers in space make sense both economically and politically. 00:39 — Why Build Data Centers in Space? 01:40 — The Insight That Started Starcloud 04:43 — Launching Starcloud-1 09:45 — The Engineering Behind Data Centers in Orbit 13:49 — Why 100 VCs Said No 16:12 — Book the Launch Before You Build the Product 18:32 — The Roadmap to Commercial Space Compute 21:10 — Building NVIDIA GPUs for Space 23:41 — Raising $170M for a Hard Tech Startup 26:37 — Hiring the World's Best Space Engineers 31:25 — Why AI Compute Is Moving to Space 34:49 — Advice for Hard Tech Founders

This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Key entities and technical topics under continuous tracking include Starcloud, Nvidia H100, SpaceX, funding.

Source attribution: curated from Y Combinator (@ycombinator). Cross-source corroboration: 9 independent sources have covered this development (including Decoder, IT之家, NVIDIA AI), confirming industry-wide signal strength.