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AI workloads often stall on storage, not GPUs. This guide for Linux admins distills case studies into reproducible Bash: diagnose I/O with fio/iostat, stage vision datasets to local NVMe (XFS,noatime,nconnect), tune vector stores for low-latency random I/O (RAID10, TRIM, dirty ratios, tuned), protect edge flash (overlayfs/tmpfs, volatile logs, atomic updates), and enable cost‑safe archival/recovery with MinIO + restic/rclone—plus apt/dnf/zypper installs and a validation checklist.