com.studiotvai/llm-vram
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Publisher-provided title
StudioTV LLM VRAM Calculator
Publisher-provided description
Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
Summary by lookupd
Estimates VRAM, GPU count, speed and rental cost for running open LLMs, and lists models that fit a given GPU.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http llm-vram https://studiotvai.com/api/mcp
Codex, remote (streamable-http)
codex mcp add llm-vram --url https://studiotvai.com/api/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"llm-vram": {
"url": "https://studiotvai.com/api/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (3 tools)
Publisher-provided text
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 Facemodels_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 AWS, Google Cloud, Azure, RunPod, Vast.ai, Oracle Cloud, OVHcloud, Scaleway, Verda, Akash and UpCloud, checked every
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 811 ms
- First indexed:
- Last seen in registry:
- Website: https://studiotvai.com/llm-vram-calculator
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- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp