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What Happens After A 1,000,000x AI Compute Leap? | Jeff Dean 29 મિનિટ Philip Johnston 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, 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. Transcript: https://www.ycrootaccess.com/p/starcloud-solving-ais-energy-problem Chapters: 00:00 - First thing every space company should do 01:06 - Why data centers in space 01:35 - The Starbase trip that started it 02:53 - Asteroid mining, space hotels, and the ideas they passed on 03:20 - Why space-based solar doesn't work 04:38 - Launching Starcloud-1 05:35 - Cooling an H100 in an ice bath at 5AM 06:24 - The separation video 07:15 - First contact and the satellite that kept restarting 09:42 - The two hardest problems: heat and radiation 11:27 - Testing GPUs in a particle accelerator 12:49 - Automotive parts instead of space-grade 13:55 - "The dumbest thing I've ever heard" 14:30 - What 100 VCs got wrong 18:38 - The path to 20 gigawatts in space 20:31 - First customers 21:16 - Designing a GPU for space with NVIDIA 23:09 - A Bitcoin miner in orbit 24:00 - Why hard tech suddenly got popular with VCs 25:37 - Inside the Benchmark round 26:57 - Their hiring strategy 28:08 - How to be contrarian but right 30:49 - Recruiting co-founders before having an idea 31:44 - What if data centers get banned on Earth? 32:45 - Data center myth busting 35:09 - Advice for hard tech founders Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs
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