Google launches Project Suncatcher, a step towards AI data centers in space
Google has launched Project Suncatcher, a prototype satellite designed to test the feasibility of running AI data centers in space. The project aims to leverage solar energy in orbit to meet the massive power demands of modern machine learning infrastructure.
Why it matters
It explores a radical solution to the energy-intensive nature of AI development and the growing opposition to terrestrial data centers.
Google just put a refrigerator-sized satellite into space, part of a research project the company hopes can pave the way for orbiting AI data centers powered by the sun.
Big tech's next move is to put data centers in space. Can it work? The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company's Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries. In a blog post , Google said the mission will gauge how the TPUs handle "the physical stress of spaceflight and the radiation and thermal extremes of space."
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