Google announced Project Suncatcher, a moonshot initiative to explore placing its Tensor Processing Units (TPUs) on solar‑powered satellite constellations in low‑Earth orbit. The goal is to scale machine‑learning compute in space by creating swarms of satellites equipped with AI accelerators for tasks such as training, content generation, synthetic speech, vision, and predictive modeling. Google’s senior director Travis Beals highlighted growing AI demand as a driver, while CEO Sundar Pichai noted early tests show TPUs can survive intense radiation, though thermal management and on‑orbit reliability remain challenges. Read more →

Google has unveiled Project Suncatcher, a research effort to place AI‑focused Tensor Processing Units on solar‑powered satellites, creating data centers in orbit. The company argues that space could offer near‑continuous solar energy, potentially making compute more sustainable. Key hurdles include ultra‑high‑speed inter‑satellite links, tight formation flying, radiation tolerance, and cost competitiveness. Google plans a joint launch with Planet to test prototype hardware by 2027, hoping the approach could become comparable to Earth‑based energy costs by the mid‑2030s. Read more →