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This is an early engineering milestone, not a product or capability claim. Google reports that a data-center-class TPU running an onboard Gemma model produced output in orbit, and that thermal and radiation tests come next. For AI readers, the open question is whether space-based compute can sustain real workloads, and the planned twin-satellite interconnect in 2027 is the next meaningful test.
We’ve received our first response from the Project Suncatcher prototype satellite.

This week, we reached our "Hello World" milestone: the first-ever AI response from a data center class TPU in orbit.
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 belowData streams in silent graceStarlight 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.
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