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Google is validating the feasibility of running advanced AI models on TPUs in orbit, a critical step toward its long-term vision of space-based compute clusters. The initiative highlights the significant engineering challenges of thermal management and power constraints required to sustain continuous AI workloads beyond Earth's atmosphere. This move signals a strategic shift from ground-only data processing to distributed orbital infrastructure for future high-bandwidth AI applications.

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Google thinks SpaceX’s Starship has to launch 1,800 times before space data centers get off the ground

TechCrunchOctober 1, 20264 min read

Google launched its first advanced chip into orbit to pave the way for space data centers.

Google’s prototype of its orbital compute satellite took off today onboard a SpaceX rocket launched from California — the first time the tech giant has sent one of its advanced chips into space. Built by Planet Labs, the satellite will prove that a Google Tensor Processing Unit, its competitor to Nvidia’s GPUs, can function in space. That means supplying a kilowatt of continuous power, cooling the chip, and running a series of models through their paces to see if anything goes wrong. “We’ve done…

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