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Cheap GPUs

com.cheap-gpus/cheap-gpus · v1.0.0

Live GPU rental and LLM inference prices across dozens of providers, plus GPU price forecasts.

Connect Remote server

Terminal
claude mcp add --transport http cheap-gpus https://cheap-gpus.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "cheap-gpus": {
      "url": "https://cheap-gpus.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "cheap-gpus": {
      "type": "http",
      "url": "https://cheap-gpus.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://cheap-gpus.com/mcp

Tools 7 found in our last check

  • list_gpu_families

    List every GPU family tracked on cheap-gpus.com, with VRAM, live cheapest on-demand price (USD per GPU-hour), and how many providers currently offer it.

  • cheapest_gpu

    Cheapest current rental offers for one GPU family (e.g. "H100", "RTX 5090", "b200"), in USD per GPU-hour, cheapest first, one row per provider. pricing_type is "on_demand" (default; can't be interrupted) or "spot" (cheaper, the provider can reclaim the machine). limit: 1-10.

  • gpu_price_history

    Daily price history for one GPU family: each day's median across providers of each provider's cheapest offer (USD per GPU-hour). days: 1-90.

  • find_model

    Search the LLM catalog by name (e.g. "deepseek v3", "gpt-oss", "llama 70b"). Returns model slugs to pass to cheapest_model_route / gpus_needed_for_model, most widely offered first. limit: 1-10.

  • cheapest_model_route

    Cheapest inference providers for one LLM (e.g. "deepseek-v3", "gpt-oss-120b"; use find_model if unsure of the name). Prices are USD per 1M tokens; estimated_cost_usd is for the given input/output token counts. One row per provider, cheapest first. limit: 1-10.

  • gpu_price_forecast

    Market-implied future rental price for one GPU family (USD per GPU-hour), from prediction markets (Kalshi, Polymarket) and ICE futures, plus today's compute-index benchmarks and cheap-gpus.com's own current median price. Covers H100, H200, B200, A100, RTX 5090 and RTX PRO 6000.

  • gpus_needed_for_model

    How many GPUs it takes to self-host an open-weight LLM at a given quantization, and the cheapest rental setups for it right now. quant is one of: fp16, bf16, fp8, mxfp8, int8, q6, fp6, q5, q4km, nvfp4, awq, mxfp4, gptq, int4, q3, q2, iq2, iq1. Estimates memory only (weights + 20…

Details

Endpointhttps://cheap-gpus.com/mcp (Streamable HTTP)
First published3 Nov 2026
Last updated3 Nov 2026
Registry namecom.cheap-gpus/cheap-gpus

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