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Google puts TPUs in orbit Oct. 1 to test Project Suncatcher

Four TPU accelerators ride aboard MVP, a refrigerator-sized satellite built by Planet Labs.

Google will launch a prototype satellite carrying four of its custom TPU AI accelerators on a SpaceX Falcon 9 rocket on October 1, the company's first hardware test for Project Suncatcher, an initiative aimed at placing AI data centers in low Earth orbit1,2,3,4.

The satellite, dubbed MVP, is roughly the size of a refrigerator. Its solar panels supply approximately one kilowatt of power, enough to run the four onboard TPUs through a battery of stress tests. The stated goal of the mission is to measure how well the chips handle the physical stress of launch, along with the radiation and thermal extremes of the space environment. MVP is expected to operate for one year.

Google did not build the spacecraft from scratch. The satellite bus comes from Planet Labs, a satellite imagery firm that had already constructed the vehicle for a separate purpose. Google's original plan called for launching two custom satellites in 2027, but the company chose to accelerate by integrating its chips into Planet Labs' existing hardware.

On Earth, Google data centers run thousands of TPUs to train AI models and run inference workloads. MVP's four-chip payload is a fraction of that scale, positioning the mission as a validation step rather than a production deployment.

Project Suncatcher, which Google announced last year, is the company's effort to design orbital AI data centers. AI boosters including Elon Musk and Jeff Bezos have pitched space-based compute as an alternative to divisive terrestrial data centers.

ANALYSIS The one-kilowatt power envelope aboard MVP is orders of magnitude below what a single rack of TPUs draws in a terrestrial facility, underscoring that this flight is a materials-and-environment qualification exercise, not a compute-capacity demonstration. By borrowing Planet Labs' satellite bus rather than waiting for a custom build, Google compressed its test schedule by roughly a year, trading payload optimization for speed to data on how its silicon behaves in orbit.

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