
Runcrate
GPUs and 200+ open models behind one API, for your agents
About Runcrate
Runcrate gives AI teams and their agents GPUs and inference from one account.
Instances: rent a GPU by the hour (H100, H200, A100, L40S, RTX 4090, RTX PRO 6000 and more, 20+ models) with SSH, Jupyter and VS Code in the browser. A launch reaches running in about four minutes, booting is never billed, and most GPUs bill by the second.
Inference: 200+ open models (DeepSeek, Qwen, Llama, Kimi, FLUX, Whisper) behind one OpenAI-compatible API, so the client you already use works. Priced per token, image or second.
Storage volumes keep datasets and checkpoints between instances, and reserved clusters cover 8+ GPUs or month-long terms.
Built for agents: connect Claude Code, Codex or Cursor to the Runcrate MCP server with one command and sign in through your browser, no key to paste. Your agent can then launch a GPU, run commands on it and shut it down. Also a CLI (brew install aeonmindai/tap/runcrate) and Python and TypeScript SDKs.
What Runcrate does
AINave analysisRent GPU instances and call hosted open AI models through one account and API, including from AI agents.
- Best for
- AI teamsDevelopers building AI agentsMachine learning engineers
- Use it to
- Fine-tune open models on cloud GPUs
- Serve open models behind an OpenAI-compatible endpoint
- Run batch transcription through a hosted API
- Run image generation workflows on rented GPUs
- Let an AI agent launch and manage GPU instances
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