Can AI Data Centers Work in Space? StarCloud Co-Founder Philip Johnston Explains episode artwork

EPISODE · Feb 26, 2025 · 42 MIN

Can AI Data Centers Work in Space? StarCloud Co-Founder Philip Johnston Explains

from Thinking On Paper · host Mark Fielding and Jeremy Gilbertson

Philip Johnston, co-founder of StarCloud, joins Mark and Jeremy to explain how the company plans to build AI data centers in space.StarCloud is developing orbital computing infrastructure designed to run large numbers of GPUs using solar power. Instead of relying on water-based cooling systems, the company plans to remove heat through large space radiators and transmit data between orbit and Earth using optical links.The economics of the idea depend heavily on falling launch costs. As reusable rockets reduce the cost of reaching low Earth orbit, companies such as StarCloud are exploring whether energy-intensive computing could eventually be moved away from terrestrial power grids and data centers.In this episode, we discuss:How data centers in space would workWhy StarCloud wants to place AI GPUs in low Earth orbitHow space-based computers can be cooled without waterWhether solar power could reduce the energy costs of AI computingHow laser communication links compare with terrestrial fiberWhere orbital networks could offer lower latencyHow falling SpaceX launch costs affect the economics of space infrastructureWhat hardware StarCloud plans to launchThe engineering and commercial challenges facing orbital data centersPhilip also explains why StarCloud believes space-based computing could support the growing demand for AI infrastructure without placing the same pressure on terrestrial electricity grids and water supplies.The conversation examines whether orbital computing is a practical extension of cloud infrastructure or an ambitious response to problems that are still cheaper to solve on Earth.Please enjoy the show and share it with a curious friend.--Chapters(00:00) The impact of earth based compute(03:09) Data centers in space(08:36) Conquering Latency Challenges in Space(10:32) Modular Space Infrastructure(16:03) How much do space based data centers cost? (19:46) Manufacturing Beyond Earth's Boundaries(26:00) Reusability and space junk(26:15) GPUs in Orbit(28:52) Future Tech Rapid-Fire Questions(29:55) 5 Billion Humanoids(32:35) Addressing Space Skepticism(33:41) Quantum Computing's Orbital AdvantageThe Humanoid Difference(37:20) Where Are All the Aliens? Exploring the Fermi Paradox(38:35) Behind the Scenes-- Other ways to connect with us:⁠Listen to every podcast⁠Follow us on ⁠Instagram⁠Follow us on ⁠X⁠Follow Mark on ⁠LinkedIn⁠Follow Jeremy on ⁠LinkedIn⁠Read our ⁠Substack⁠Email: [email protected]

Philip Johnston, co-founder of StarCloud, joins Mark and Jeremy to explain how the company plans to build AI data centers in space.StarCloud is developing orbital computing infrastructure designed to run large numbers of GPUs using solar power. Instead of relying on water-based cooling systems, the company plans to remove heat through large space radiators and transmit data between orbit and Earth using optical links.The economics of the idea depend heavily on falling launch costs. As reusable rockets reduce the cost of reaching low Earth orbit, companies such as StarCloud are exploring whether energy-intensive computing could eventually be moved away from terrestrial power grids and data centers.In this episode, we discuss:How data centers in space would workWhy StarCloud wants to place AI GPUs in low Earth orbitHow space-based computers can be cooled without waterWhether solar power could reduce the energy costs of AI computingHow laser communication links compare with terrestrial fiberWhere orbital networks could offer lower latencyHow falling SpaceX launch costs affect the economics of space infrastructureWhat hardware StarCloud plans to launchThe engineering and commercial challenges facing orbital data centersPhilip also explains why StarCloud believes space-based computing could support the growing demand for AI infrastructure without placing the same pressure on terrestrial electricity grids and water supplies.The conversation examines whether orbital computing is a practical extension of cloud infrastructure or an ambitious response to problems that are still cheaper to solve on Earth.Please enjoy the show and share it with a curious friend.--Chapters(00:00) The impact of earth based compute(03:09) Data centers in space(08:36) Conquering Latency Challenges in Space(10:32) Modular Space Infrastructure(16:03) How much do space based data centers cost? (19:46) Manufacturing Beyond Earth's Boundaries(26:00) Reusability and space junk(26:15) GPUs in Orbit(28:52) Future Tech Rapid-Fire Questions(29:55) 5 Billion Humanoids(32:35) Addressing Space Skepticism(33:41) Quantum Computing's Orbital AdvantageThe Humanoid Difference(37:20) Where Are All the Aliens? Exploring the Fermi Paradox(38:35) Behind the Scenes-- Other ways to connect with us:⁠Listen to every podcast⁠Follow us on ⁠Instagram⁠Follow us on ⁠X⁠Follow Mark on ⁠LinkedIn⁠Follow Jeremy on ⁠LinkedIn⁠Read our ⁠Substack⁠Email: [email protected]

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Can AI Data Centers Work in Space? StarCloud Co-Founder Philip Johnston Explains

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This episode is 42 minutes long.

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This episode was published on February 26, 2025.

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Philip Johnston, co-founder of StarCloud, joins Mark and Jeremy to explain how the company plans to build AI data centers in space.StarCloud is developing orbital computing infrastructure designed to run large numbers of GPUs using solar power....

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