On May 6, Anthropic and SpaceX announced a deal giving Anthropic access to all of the compute capacity at SpaceX's Colossus 1 data center in Memphis, Tennessee — more than 300 megawatts. The two companies also said they have expressed interest in working together on multi-gigawatt compute capacity in space. The announcement landed alongside CEO Dario Amodei's disclosure that Anthropic grew 80-fold in Q1 on an annualized basis, which he cited as the reason for recent service-availability problems.
300 megawatts is a frontier-scale block of capacity — enough to train a flagship model — and Anthropic is locking it down without renting solely from the hyperscalers it normally uses. The deal also pulls Elon Musk's infrastructure into the orbit of an OpenAI rival. The orbital compute language is still aspirational, but it tracks with growing industry interest in moving inference off-Earth to escape grid and water bottlenecks.
This is the third major Anthropic infrastructure deal in a week — a roughly $200 billion compute commitment with Google, a Blackstone-Goldman enterprise joint venture, and now SpaceX. Anthropic is moving from pure software vendor toward something closer to a vertically integrated AI infrastructure operator, mirroring the trajectory OpenAI has taken with its Stargate buildout and chip ambitions.
Takeaway for learners: a year ago, compute was a line item on an AI lab's budget. Today, frontier labs are co-financing data centers, signing decade-long power contracts, and floating ideas about putting GPUs in orbit. If you're studying AI economics, the story has moved from algorithms to electricity and real estate — watch infrastructure announcements as carefully as model releases, because they tell you which labs can actually scale next year's training runs.