Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
Remote server: your requests and data go to getrigbase.com. Claude Code: claude mcp add --transport http rigbase https://getrigbase.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
search_builds — Search RigBase measured home AI builds. Filter by GPU name, model name, minimum VRAM (GB), and/or maximum build cost. Returns top matches wican_it_run — Ask whether a given GPU setup can run a model. Returns measured RigBase results when available; otherwise a VRAM-fit estimate clearly labellbest_gpu_for_model — Return the fastest measured RigBase result for a model, plus tok/s per euro where a build cost or known GPU street price exists. Includes soget_build — Fetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.