Anthropic Doubles Claude Code Usage Limits, Signs SpaceX Compute Deal

✍️ OpenClawRadar📅 Published: May 7, 2026🔗 Source
Anthropic Doubles Claude Code Usage Limits, Signs SpaceX Compute Deal
Ad

Anthropic announced at its Code with Claude developer conference on Wednesday that it has doubled Claude Code's five-hour window usage limits for Pro and Max plan subscribers, removed the peak-hours limit reduction on Claude Code for those same accounts, and increased API usage limits for its Opus model. The changes are credited to a new deal with SpaceX that provides Anthropic access to more than 300 megawatts of compute capacity from SpaceX's Colossus 1 supercomputer in Memphis, Tennessee.

Ad

Key details from the announcement

  • Usage limit changes: Pro and Max subscribers now get double the previous five-hour window limits for Claude Code. The peak-hours limit reduction (previously applied during high-demand periods) has been eliminated entirely for these accounts.
  • Opus API limits: Specific new rate limits for the Opus model were shared in a table (not fully reproduced here), effective May 6, 2026.
  • SpaceX's Colossus 1: Over 220,000 NVIDIA GPUs, including H100, H200, and next-generation GB200 accelerators, power the facility.
  • Orbital compute interest: Anthropic "expressed interest" in working with SpaceX to build "multiple gigawatts" of orbital compute capacity, referencing the idea that "compute required to train and operate the next generation of these systems is outpacing what terrestrial power, land, and cooling can deliver."

Demand for Claude Code has surged due to users migrating from OpenAI (following military agreement controversies), increased adoption in professional software development, and a shift from single-agent chat-based tasks to multi-agent workflows. Anthropic has reportedly signed massive compute deals with Microsoft, Google, Amazon, and Nvidia in the past month to keep up.

Elon Musk, previously critical of Anthropic (calling it "anti-Western" in February), changed tone with the deal, tweeting: "I spent a lot of time last week with senior members of the Anthropic team to understand what they do to ensure Claude is good for humanity and was impressed. No one set off my evil detector."

📖 Read the full source: HN AI Agents

Ad

👀 See Also

AI Learns the 'Dark Art' of RFIC Design — Faster Chips, No Human Intuition Required
News

AI Learns the 'Dark Art' of RFIC Design — Faster Chips, No Human Intuition Required

Princeton researchers use reinforcement learning and inverse design to create RFICs from scratch. Diffusion models generate novel layouts with record performance, cutting design time drastically.

OpenClawRadar
Claude Code v2.1.83 adds managed settings fragments, transcript search, and security improvements
News

Claude Code v2.1.83 adds managed settings fragments, transcript search, and security improvements

Claude Code v2.1.83 introduces a managed-settings.d/ directory for team policy fragments, transcript search with / and n/N navigation, and CLAUDE_CODE_SUBPROCESS_ENV_SCRUB=1 to strip credentials from subprocess environments. The release also includes CwdChanged/FileChanged hooks, sandbox.failIfUnavailable setting, and fixes for macOS exit hangs, UI freezes, and memory leaks.

OpenClawRadar
Claude-Code v2.1.97 Release: NO_FLICKER Improvements, Permission Fixes, and MCP Updates
News

Claude-Code v2.1.97 Release: NO_FLICKER Improvements, Permission Fixes, and MCP Updates

Claude-Code v2.1.97 adds a focus view toggle (Ctrl+O) in NO_FLICKER mode, fixes multiple permission and MCP connection issues, and improves sandbox network access. The release addresses 429 retry behavior, transcript persistence problems, and various UI bugs.

OpenClawRadar
Anthropic blocks third-party harnesses from Claude subscription limits, workaround available
News

Anthropic blocks third-party harnesses from Claude subscription limits, workaround available

Anthropic has restricted third-party harnesses from accessing Claude subscription limits, potentially disrupting workflows that rely on these tools. A Reddit user reports developing an open-source workaround after nearly losing months of training data.

OpenClawRadar