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For Elon, reaching terawatt-scale compute means simultaneously scaling chip production, power generation, and data center infrastructure far beyond today’s levels. It’s necessary to sustain advanced AI, with demand expected to explode as models get more powerful. So the bottleneck isn’t chips, but energy and manufacturing at global scale. Basically,... show more

Mario Nawfal

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137,605 views • 3 months ago •via X (Twitter)

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"We'll see intelligence continue to scale all the way upto where most of the power of the sun is harnessed for compute, and then ultimately of the galaxy, sort of Kardashev II or III scale." 一 Elon Musk

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Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

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