Someone told AI to go touch grass. It went to space instead. 🛰️🤖
NVIDIA-backed startup Starcloud just made history by training the very first AI model in space — on a satellite the size of a mini-fridge, equipped with an NVIDIA H100 GPU that's 100x more powerful than any chip ever sent to orbit before.
And what was this cosmic AI trained on first? 🎭 The complete works of William Shakespeare. (It then started answering queries in stilted Shakespearean English. "They can it like you from me speak." Iconic.)
But why space, though?
Great question. Here's the thing — Earth-based data centers are running into serious limits:
🔌 They need enormous amounts of electricity from stressed power grids
💧 They guzzle millions of gallons of fresh water for cooling
🏙️ They need massive land and face local opposition
Space solves ALL of that:
☀️ 24/7 uninterrupted solar power — no clouds, no grid
❄️ Natural radiative cooling in the vacuum of space — no cooling towers needed
🌌 Infinite scalability — Starcloud just filed for a constellation of 88,000 satellites to deploy 20 gigawatts of AI compute
Jensen Huang, Jeff Bezos, Sam Altman, and even Elon Musk are backing the idea. Google has Project Suncatcher launching test missions in 2027. The race is on.
As rocket launch costs keep falling — SpaceX already offers the cheapest launches at ~$2,000/kg — the economics of orbital AI compute are moving from "wild sci-fi dream" to "serious business case."
We're not just in an AI race anymore. We're in a space AI race. 🚀
