# StudioTV — Interactive Learning (studiotvai.com)

Estimates how many GPUs a language model needs and tracks hourly GPU rental prices across eleven cloud providers.

- Atlas card: https://inite.ai/en/atlas/studiotvai.com
- Site: https://studiotvai.com
- For: People sizing and renting cloud GPUs to run open LLMs, or learning how models work
- Categories: llmops
- Use not measured/100 · alive 100/100

## Used for

- estimate how many GPUs a model needs
- compare hourly GPU rental prices across providers
- work through interactive lessons on gradient descent

## Price

- no price printed, no free plan (read 2026-10-21 on https://studiotvai.com/gpu-prices)

## For developers

- MCP server: com.studiotvai/llm-vram (namespace; open on 2026-10-21, 3 tools)
- Read 2026-10-21

## MCP server, measured daily

Server: https://studiotvai.com/api/mcp, checked every day since 2026-10-21 (2 checks).

- Answered: measuring, 2 daily checks so far
- Median first answer: 698 ms
- Sign-in: none
- Context its tool definitions take: about 766 tokens (3 tools)
- Tool definitions: A, 100/100
- Method: https://inite.ai/en/atlas/mcp/report

## Your data

- Certifications stated: none
- Read 2026-10-21

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Source: INITE Atlas, https://inite.ai/en/atlas/studiotvai.com. JSON: https://inite.ai/api/atlas/studiotvai.com. MCP: https://inite.ai/api/mcp (atlas_lookup).