Local LLM / Local inference performance
Local LLM: NUMA placement measurement
On multi-socket hosts, compare supported CPU and memory placement policies.
Environment and inputs: Ollama, llama.cpp or vLLM serving; tune only features supported by the selected release and hardware.
When to use it
Compare performance with a fixed workload and a documented quality gate. Prompt processing, generation, queueing and model loading contribute different delays; isolate the stage that dominates the user-visible experience before changing configuration.
Check the result
Measure remote-memory effects using the same model and request mix.
Save and compare results
Save the test input, configuration and result. Fix the failing boundary, repeat the same test and compare it with the saved working configuration.
Scope and limits
These exercises have not been tested on your systems. Check feature support and configuration names against the installed release and linked documentation.