bots.st/studiotv-llm-vram-calculator
StudioTV LLM VRAM Calculator
Estimate VRAM and KV cache fit for models
3521 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 3
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://studiotvai.com/api/mcp
What it can do
| Tool | What it says it does |
|---|---|
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). |
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. |
models_that_fit | Every listed open model that fits on the given GPU(s), largest first, with the most faithful weight format that fits. |
In its maker's words
Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
- Website
- studiotvai.com/llm-vram-calculator
- Publisher
- studiotvai.com
- Listed from
- the official MCP Registry as
com.studiotvai/llm-vram - Version
- 1.0.0, updated 10 Oct 2026
- Kinds of work
- AI models and agent tools, Data and databases
The domain it lives on
- studiotvai.com
- registered 10 Aug 2025 (1 year ago), at OVH sas, its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 3521 ms | |
| Answered | 2902 ms | |
| Answered | 1783 ms |
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