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In this episode, I sit down with Philip Johnston, CEO of Starcloud. Philip explains how space-based data centers solve two critical challenges facing AI development: limited energy resources and physical scaling constraints. By harnessing constant solar power in orbit and using the vacuum of space for cooling, Starcloud aims to deliver computing power at a fraction of Earth's energy costs. The conversation covers their incremental roadmap from this summer's technology demonstrator to future gigawatt-scale facilities, the unique technical challenges of orbital operations, and how this approach could fundamentally transform both AI capabilities and the space economy. So excited to talk to Philip! 💬 Let me know what you think about this episode in the comments. 📌 Timestamps: 00:00 - Episode Previews 00:59 - Why Philip wants to move data centers to Space 02:59 - Basic design of Starcloud's Data Centers 03:35 - Who are the primary customers of data centers in space 05:37 - Details of Starcloud's first mission 07:30 - When can we see a fully operational data center in space? 08:40 - Why are energy costs much cheaper in space? 09:22 - How important is Starship? 11:54 - The technical challenges of building large structures in space 16:52 - Mitigating space debris risks 19:29 - Govt vs. Commercial customers 20:09 - The impact of moving all data centers to space 22:58 - Philip's contrarian bet 📱CONNECT WITH US: Starcloud's Website: https://www.starcloud.com/ Philip's LinkedIn: / philipjohnst Anurag’s LinkedIn: / anuragbs Make sure you subscribe to the channel so you don’t miss an episode. #space #SpaceTech #DataCenters #CleanEnergy #ArtificialIntelligence #NewSpace #SpaceEconomy #starship #cloudcomputing #lumenorbit #starcloud #openai #llm