StudioTV LLM VRAM Calculator
by FastDrop
Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
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.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
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Read directly from the endpoint on 10 Oct 2026. Not supplied by the maker.
estimate_vramGPU 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_fitEvery listed open model that fits on the given GPU(s), largest first, with the most faithful weight format that fits.
gpu_pricesCheapest on-demand price per GPU-hour from RunPod, Vast.ai, Verda and Azure, checked every hour.
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