gpu benchmarks

Practical, bash-first guide to reproducible AI hardware benchmarking on Linux: what to measure (throughput, latency, power/efficiency, memory, accuracy), how to normalize runs, install prerequisites across distros, prep systems, run llama.cpp kernel and ONNX Runtime inference tests, log telemetry with nvidia-smi/turbostat/perf, and compare results for real workloads (low-latency, offline, LLM serving), with MLPerf as context and clear next steps.