Find AI models fitting specific hardware
A list of AI models that fit within the memory constraints of a specific GPU for a given context length, including reasoning and recommendations.
How it works
The agent uses the 'find_fit' tool from the AI Compute Radar MCP server. It requires the user to specify the target hardware (e.g., 'rtx-4090') and the desired context length. The agent sends this request to the server, which returns a verdict including measured weights, computed context cache, overhead, and a plain-language explanation of whether the model fits. The agent should verify the 'meta' block to ensure the data source is 'live' and check the collection time to ensure freshness.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Find which AI models fit on an RTX 4090 with a 16K context window. Return the fit verdicts, including the reasons for any failures and the best recommendation.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Which tracked models fit an RTX 4090 at 16K context: curl "https://aicomputeradar.dev/api/v1/fit?hardware=rtx-4090&context=16384"Developers — JSON API and MCP server — AI Compute Radar