SpaceX Taps Nvidia's Next-Gen Rubin for an AI Datacenter in Orbit

Just as we were beginning to wrap our heads around the sheer scale of terrestrial data centres, SpaceX has decided to take the “cloud” literally. The company has unveiled Starmind, a breathtakingly ambitious plan to hoist an AI supercomputer into the heavens, and it’s teaming up with Nvidia to provide the muscle. Each Starmind satellite is designed to act as a “datacenter-class orbital compute” node, kitted out with Nvidia’s next-generation—and still largely under wraps—Rubin GPUs and Vera CPUs.

The reveal, which dropped just ahead of SpaceX’s first earnings call as a public entity, marks a strategic pivot that recasts the aerospace titan as a heavyweight in AI infrastructure. The Starmind AI1, the flagship of this planned constellation, is a true behemoth. It boasts a projected wingspan of 75 metres (roughly 246 ft) and a compute payload capable of pulling up to 250 kW of peak power from its sprawling solar arrays. SpaceX intends to mass-produce these orbital data centres at a new “Gigasat” facility in Texas, with the first deployments slated for as early as 2027.

Why does this matter?

This isn’t merely about finding a new home for servers; it’s a strategic masterstroke regarding energy and thermal efficiency. Terrestrial data centres are increasingly hamstrung by power grid constraints, land-use disputes, and the staggering amount of water required for cooling. SpaceX’s logic is refreshingly blunt: why grapple with Earth-bound headaches when you have constant solar energy and the vacuum of space acting as a free, hyper-efficient heat sink? By radiating heat directly into the void, Starmind could bypass the energy-intensive cooling systems that currently account for a massive chunk of overhead at ground-based sites.

Naturally, latency remains the elephant in the room. This orbital supercomputer is likely destined for “heavy lifting”—massive, asynchronous AI training tasks—rather than the real-time applications that demand split-second responses. However, for training the next generation of foundation models, offloading the colossal computational burden to an orbital platform powered by free energy could be a total game-changer. It’s a vintage Musk manoeuvre: leveraging SpaceX’s core knack for reaching orbit affordably to disrupt an entirely different, and incredibly lucrative, sector. For Nvidia, it’s another massive win, locking in a futuristic client for a hardware platform that hasn’t even hit the shelves yet.