
Runcrate
Deployment
Best for
Overview
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 runcrateai/tap/runcrate) and Python and TypeScript SDKs.
At a glance
Software information
Industries served, licensing and the support Runcrate provides.
Industries
- Information-technology-services
Licensing
- Proprietary
- Quote Based
Support
- Support daysMondayTuesdayWednesdayThursdayFridaySupport time09:00 to 17:00 (UTC)
Training
- Documentation
Knowledge Base
Capabilities
Runcrate features
The full feature set, grouped by module.
Plans
Runcrate pricing
Media
Screenshots & video
