Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
{ "mcpServers": { "io.nodegrove-vram-mcp": { "url": "https://mcp.nodegrove.io/mcp", "headers": {} } }}Power your agent
The publisher's own URL. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
https://mcp.nodegrove.io/mcpThe Claude button above opens Claude with the name and URL filled in. You still confirm it there.
claude mcp add --transport http io.nodegrove-vram-mcp https://mcp.nodegrove.io/mcpRun in a terminal.
{ "mcpServers": { "io.nodegrove-vram-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.nodegrove.io/mcp" ] } }}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchTools
No tool list yet. Remote servers get one after the first health check.
FAQ
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
Nodegrove VRAM: Can I Run It? is reached over HTTP.
Last checked 2026-10-26. Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
From the publisher
README is not crawled yet. Open the repository