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A Bash-friendly, distro-agnostic guide to boosting AI training/inference on Linux by tuning the OS: install key tools, profile first, right-size and pin OpenMP/BLAS threads, bind CPU and memory with numactl, set performance governors/tuned profiles, refine NUMA and HugePages, use fast BLAS and clean I/O, then verify with perf/time; includes a quick-start script and troubleshooting to apply changes safely and repeatably.