metadata
title: README
emoji: 🚀
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
Runcrate
GPUs and inference for your agents. runcrate.ai
- Inference: open models (DeepSeek, Qwen, Llama, Kimi, FLUX, Whisper) behind one OpenAI-compatible API at
https://api.runcrate.ai/v1, priced per token, image, second or minute depending on the model. Models and prices - GPU marketplace: rent H100, H200, A100, L40S, RTX 4090 and more with SSH, priced per GPU-hour and billed by the second on most GPUs, by the minute on a few. GPU pricing
- Built for agents: a remote MCP server at
https://mcp.runcrate.ai/mcp(OAuth sign-in, no key) lets Claude Code, Cursor or Codex launch a GPU, run commands on it and shut it down. MCP setup - Tools: CLI (
brew install aeonmindai/tap/runcrate), Python (pip install runcrate-sdk) and TypeScript (npm i @runcrate/sdk) SDKs.
Try the models in the inference playground, or run the Colab quickstart (OpenAI client, LangChain, LlamaIndex, DSPy).
from openai import OpenAI
client = OpenAI(base_url="https://api.runcrate.ai/v1", api_key="RUNCRATE_API_KEY")
print(client.chat.completions.create(
model="deepseek-ai/DeepSeek-V3.2",
messages=[{"role": "user", "content": "Hello"}],
).choices[0].message.content)
Contact: hello@runcrate.ai