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Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space, Sonic AI
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Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space
Sequoia Capital AI Ascent 2026
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May 6, 2026
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11:45
Conference
Keynote
Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space
From
Sequoia Capital AI Ascent 2026
· 2026
Philip Johnston
(co-founder and CEO, StarCloud, guest)
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Executive Summary
StarCloud is pioneering the development of data centers in space to capitalize on abundant, 24/7 solar energy, which is 8x more efficient per square meter than on Earth.
The company has successfully deployed the StarCloud 1 satellite, proving the viability of running commercial-grade GPUs like the NVIDIA H100 in space by training a nanoGPT model and running Gemini inference.
StarCloud has filed with the FCC for an 88,000-satellite constellation, a $100 billion project designed to provide 20 gigawatts of low-latency compute capacity primarily for AI inference workloads.
The economic feasibility of this venture hinges on decreasing launch costs, with SpaceX's Starship target of $10-$20/kg being the key inflection point that makes space-based energy cheaper than terrestrial alternatives.
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The Economic Case for Space-Based Computing
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Processed May 10, 2026
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