• benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
• sandbox — An isolated environment where AI-generated code or agent actions run without being able to touch anything real.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

Shows that splitting a sandboxed coding agent from its model server via a vsock bridge (rather than running both in the VM) keeps GPU-bound inference nearly full speed, with measured single-digit overhead under concurrent load.

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