Anthropic raises Claude Code usage limits, credits new deal with SpaceX

2026-05-06 · Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Anthropic announced a deal with SpaceX to acquire the entire compute capacity of SpaceX's Memphis, Tennessee data center, featuring the Colossus 1 supercomputer with over 220,000 NVIDIA H100, H200, and GB200 GPUs. This partnership, revealed at Anthropic's Code with Claude conference, aims to address surging demand for its AI models, particularly Claude Code and Opus. Consequently, Anthropic doubled Claude Code's five-hour window limits for Pro and Max subscribers, removed peak-hour reductions, and increased API limits for its Opus model. The deal provides Anthropic with over 300 megawatts of new compute capacity and signals potential future collaboration on "multiple gigawatts" of orbital compute capacity, despite prior public criticism from Elon Musk towards Anthropic.

Key takeaway

For AI product managers and engineering leaders facing compute capacity constraints, this deal highlights a critical strategy: securing dedicated, large-scale GPU infrastructure. Your teams should proactively model future compute requirements based on user growth and multi-agent workflow adoption, then pursue strategic partnerships or investments in data center capacity to avoid service limitations and maintain user satisfaction.

Key insights

Strategic compute acquisition enables AI service providers to scale offerings and meet escalating user demand.

Principles

• Compute capacity directly impacts AI product usability.
• Diversifying compute sources mitigates supply constraints.

In practice

• Evaluate compute needs against user demand spikes.
• Explore partnerships for large-scale GPU access.

Topics

• Anthropic
• SpaceX
• Compute Capacity
• Claude Code
• AI Models

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Software Engineer, AI Engineer, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.