Why we're watching this: Anthropic is assembling compute infrastructure at a scale that rivals hyperscalers. How quickly it translates capacity into reliability and model performance will determine if it can hold its enterprise position against OpenAI and Google.
Key Takeaways
- Anthropic has signed a compute partnership with SpaceX, gaining access to all capacity at the Colossus 1 data center, adding over 300 megawatts and more than 220,000 Nvidia GPUs within the month
- Effective immediately: Claude Code’s 5-hour rate limits are doubled for Pro, Max, Team, and Enterprise plans
- Peak hours limit reduction removed for Claude Code on Pro and Max plans
- API rate limits for Claude Opus models raised substantially across tiers
- Anthropic’s total committed compute now spans Amazon (5GW), Google and Broadcom (5GW), Microsoft and Nvidia ($30B Azure), Fluidstack ($50B), and now SpaceX
Anthropic has agreed a compute partnership with SpaceX, securing all capacity at the Colossus 1 data center and adding over 300 megawatts of new capacity, more than 220,000 Nvidia GPUs, available within the month. The deal comes with immediate changes to usage limits for Claude Code and the Claude API.
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.
This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
— Claude (@claudeai) May 6, 2026
Effective today, Claude Code’s five-hour rate limits are doubled for Pro, Max, Team, and seat-based Enterprise plans. The peak hours limit reduction on Claude Code has been removed for Pro and Max accounts. API rate limits for Claude Opus models have been raised substantially across tiers. The changes apply immediately with no action required from users.
If your team has been hitting Claude Code rate limits or experiencing degraded performance during peak hours, today’s changes directly address both. Pro and Max users no longer face reduced limits during peak periods, and Opus API users now have significantly more headroom.
The SpaceX deal is the latest in a rapid series of infrastructure commitments Anthropic has signed to keep pace with demand it describes as unprecedented. Anthropic’s run-rate revenue surpassed $30 billion in early 2026, up from approximately $9 billion at the end of 2025. The company’s committed compute stack now spans, driven by accelerating enterprise agent deployment across every major vertical:
Amazon — up to 5GW agreement including nearly 1GW of Trainium2 and Trainium3 capacity by end of 2026, plus $5 billion in new investment bringing Amazon’s total to $13 billion.
Google and Broadcom — 5GW agreement for next-generation TPU capacity coming online from 2027.
Microsoft and Nvidia — $30 billion of Azure compute capacity, up to 1GW of Grace Blackwell and Vera Rubin systems, with $15 billion in combined investment from Microsoft and Nvidia.
Fluidstack — $50 billion investment in U.S. data centers in Texas and New York, with sites coming online throughout 2026.
Anthropic has also expressed interest in partnering with SpaceX to develop multiple gigawatts of orbital AI compute capacity. No timeline or technical specification has been announced. This is early-stage interest, not a committed programme.
As part of its international expansion, Anthropic noted that some capacity will be sited outside the U.S. to meet data residency requirements for enterprise customers in regulated industries including financial services, healthcare, and government. The Amazon agreement includes additional inference capacity in Asia and Europe.
The scale of Anthropic’s infrastructure commitments reflects the same dynamic driving OpenAI’s $122 billion raise and Google Cloud’s 63% revenue growth in Q1 2026.
Demand for frontier AI compute is running ahead of what any single provider can currently supply, a dynamic reflected in Google Cloud’s 63% revenue growth in Q1 2026, and the labs that secure capacity earliest are building a durable infrastructure moat, a shift tracked on Relve, an AI trends intelligence platform.
