Why data centers should move to space
As launch costs fall, orbital data centers will leverage 24/7 solar energy and passive cooling, rapidly deploying to gigawatt-scale, avoiding permitting constraints on Earth.
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Learn why the largest AI training clusters will be deployed in space in the future, and what architectures they will use.
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Meet our founders
We are a team of innovative deep-tech engineers with big ambitions to change the paradigm of hyperscale data centers, enabling the future of AI by deploying the largest training clusters in space
Philip is a second-time founder who previously spent time at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.
Ezra has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on many missions, including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.
Adi was previously a Principal Software Engineer at SpaceX where he was part of the Starlink network team enabling Starlink for in-motion users including Starship. Before that, he spent 20 years as a Principal Software Engineer at Microsoft working on large production GPU clusters, and inventing more than 25 unique patents. Adi holds degrees in Computer Science from University of Bucharest and Chemistry from University "Politehnica" of Bucharest.
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