io throughput

GPUs idle? You’ve got a storage problem. This hands-on Linux guide shows how to baseline, tune, and scale I/O for AI: install fio/sysstat/nvme-cli; benchmark with fio and iostat; use XFS with noatime, tune readahead/scheduler/queues; stripe NVMe via LVM/mdadm; pre-stage datasets and shard tiny files; monitor iotop/NVMe SMART; mind PCIe and TRIM; optimize throughput, concurrency, and tail latency—test safely (mkfs/RAID destroy data).

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.