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Could AI Data Centers Run in Space? Google Launches Its First Test

The test will check launch survival, radiation tolerance and cooling as Google explores whether space can support large-scale AI computing.

  • On Thursday, October 1, Google launched its refrigerator-sized MVP satellite aboard SpaceX's Transporter-18 rideshare mission from Vandenberg Space Force Base in California, marking the first orbital test of Project Suncatcher.
  • As AI demand strains terrestrial grids, Google initiated this research to explore orbital locations that offer near-constant sunlight, capable of generating up to eight times more energy than Earth-based facilities.
  • Space radiation can cause "bit flips" in computer chips, while conventional airflow cooling is impossible in the vacuum of space; Google designed layered heat pipes and radiator panels to address both challenges.
  • Running Gemini models in 15-minute bursts, the MVP satellite carries four Tensor Processing Units to assess hardware performance, according to Google senior director Travis Beals, who noted the mission identifies failure points.
  • Google senior vice president James Manyika cautions that scalable orbital data centers remain years away, though the company plans to test further satellite formations in 2027 contingent on reducing launch costs to about $200 per kilogram.
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Google launched its own microchip satellite to test the computation of artificial intelligence in orbit.

·Kyiv, Ukraine
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Google launched a first test satellite for a data center in space last night. On board is an AI computer normally used on Earth. With this test, Google aims to investigate whether that technology can also function in orbit around the Earth.

·Amsterdam, Netherlands (Kingdom of the)
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