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StudioTV LLM VRAM Calculator

by FastDrop

MCP Verified 2 hours ago Registry import free

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

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Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model. Official MCP Registry: com.studiotvai/llm-vram@1.0.0. Remote endpoint: https://studiotvai.com/api/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.studiotvai/llm-vram and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 10 Oct 2026. Not supplied by the maker.

  • 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 cach

  • 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 RunPod, Vast.ai, Verda and Azure, checked every hour.

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Matched on shared tags and the tools their MCP servers actually expose.

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