Google's Project Suncatcher Satellite Runs TPU in Orbit for First AI Response
Google's Project Suncatcher prototype satellite successfully completed on-orbit commissioning, generating its first AI response using an onboard Gemma 4 model and data-center-class TPU. This milestone validates the basic feasibility of running AI compute chips in space, paving the way for future thermal/radiation stress tests and the planned twin-satellite interconnection in 2027.
Full Report
Oct 30, 2026
On October 1, we launched our prototype satellite for Project Suncatcher. The launch marked the first step in our long-term research moonshot to explore powering AI compute in space. Since then, we've spent the last few weeks completing our commissioning checklist, which included powering up the host and TPU trays and successfully running early machine learning tests. This week, we reached our "Hello World" milestone: the first-ever AI response from a data center class TPU in orbit.
During a ground-station pass, we uplinked our first prompt to our onboard Gemma 4 open model, asking it to generate a haiku about being in space. As the satellite passed by Svalbard, Norway, the downlinked poem confirmed success:
Blue marble below Data streams in silent grace Starlight feeds my core. ✨
Following this initial output, we tested space-themed limericks and telemetry prompts reporting the technical status of the payload systems. Next, we will continue with a series of tests to evaluate how TPUs perform under thermal stress and radiation exposure in orbit. Verifying our TPUs can reliably execute workloads in space paves the way for our next milestone of twin interconnected satellites in 2027.
Our chips have officially earned their space wings — an important achievement on the long road ahead for this cosmic moonshot.