memory bandwidth

A practical, Bash-first Linux checklist to quickly validate AI hardware before training: inventory CPU/NUMA/BIOS, confirm GPU drivers and PCIe link width/speed, sanity-check RAM, NVMe health and disk I/O, verify CPU instruction sets and thermals, and test containers (incl. GPU). Includes copy-paste commands, a one-shot snapshot script, what 'good' looks like, and common fixes, preventing slowdowns, driver mismatches, and I/O bottlenecks.

A practical Linux/Bash playbook for diagnosing and eliminating AI performance bottlenecks: measure first, then optimize data I/O and file formats, CPU/threading and NUMA placement, GPU utilization/precision, and network/NCCL. Includes distro-agnostic installs, actionable commands (sar/iostat, perf, nvidia-smi, fio, iperf3), a 15-minute baseline profile, and quick wins (packing, staging, mixed precision, pinning) to ship faster.