NestDaddy

StudioTV LLM VRAM Calculator

com.studiotvai/llm-vram ยท v1.0.0

Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.

Connect Remote server

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

Tools 3 found in our last check

  • estimate_vram

    GPU memory, number of GPUs, speed and rental cost to run an open LLM. Works for the models listed at https://studiotvai.com/api/models.json and any Hugging Face model id or link. Uses the real KV cache of each architecture (sliding window, hybrid linear attention, MLA).

  • models_that_fit

    Every listed open model that fits on the given GPU(s), largest first, with the most faithful weight format that fits.

  • gpu_prices

    Cheapest on-demand price per GPU-hour from AWS, Google Cloud, Azure, RunPod, Vast.ai, Oracle Cloud, OVHcloud, Scaleway, Verda, Akash and UpCloud, checked every hour.

Details

Endpointhttps://studiotvai.com/api/mcp (Streamable HTTP)
First published10 Oct 2026
Last updated10 Oct 2026
Registry namecom.studiotvai/llm-vram

More ai and media servers See all

Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.