Google to run AI processing from space by 2027

Google recently unveiled Project Suncatcher, a research “moonshot” aiming to build a data centre in space. The tech giant plans to use a constellation of solar-powered satellites which would run on its own TPU chips and transmit data to one another via lasers. Google’s TPU chips (tensor processing units), which are specially designed for machine learning, are already powering Google’s latest AI model, Gemini 3.

Project Suncatcher will explore whether they can be adapted to survive radiation and temperature extremes and operate reliably in orbit. It aims to deploy two prototype satellites into low Earth orbit, some 400 miles above the Earth, in early 2027.

Google’s rivals are also exploring space-based computing. Elon Musk has said that SpaceX “will be doing data centres in space”, suggesting that the next generation of Starlink satellites could be scaled up to host such processing. Several smaller firms, including a US startup called Starcloud, have also announced plans to launch satellites equipped with the GPU chips (graphics processing units) that are used in most AI systems.

The logic of data centres in space is that they avoid many of the issues with their Earth-based equivalents, particularly around power and cooling. Space systems have a much lower environmental footprint and it’s potentially easier to make them bigger.

Google CEO Sundar Pichai said, “We will send tiny, tiny racks of machines and have them in satellites, test them out, and then start scaling from there … There is no doubt to me that, a decade or so away, we will be viewing it as a more normal way to build data centres.”