gpu-host-tuning

# gpu-host-tuning Host-side tuning + audit for Linux GPU inference servers. Sits *beneath* any inference framework (vLLM, sglang, TensorRT-LLM, llama.cpp). **Assumes a working host.** Driver, `nvidia-fabricmanager`, and NVLink/NVSwitch must already be healthy — if `nvidia-smi` doesn't list every GPU, or fabricmanager isn't `active (running)`, that is a bring-up problem, not a tuning one: use `nvidia-datacenter-bringup` (same `inference-host` plugin) first. Tuning a half-initialised host produces numbers that describe the fault, not the hardware. Three modes: 1. **Audit** — read-only snapshot 2. **Bench** — ground-truth pinned-host↔GPU memcpy ceiling 3. **Tune** — apply individual levers from the cheat-sheet This file is a pointer map. The actual logic lives in `scripts/` and the authoritative references in `references/`. ## Quick start ```bash # From the skill directory — typically ~/.claude/skills/gpu-host-tuning # (personal) or .claude/skills/gpu-host-tuning (project install). # Audit (read-only, ~60s) ./scripts/collect.sh # Audit + pinned-memcpy bench (needs torch + CUDA, ~5 min) ./scripts/collect.sh --bench ``` The script prompts for the output parent dir on first interactive run and remembers the choice. Override via `--out <dir>` or `HOST_AUDIT_DIR=<dir>`. Default snapshot dirname is `gpu-host-tuning-<host>-<UTC>`. ## What the snapshot captures One file per probe, numbered by section. See [`references/probe-interpretation.md`](references/probe-interpretation...