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A practical, Bash-first guide to AI/ML-driven Linux storage tuning: install cross-distro tools, collect lightweight I/O telemetry (iostat, iotop, pidstat, bpftrace, fio), analyze with Python to rank hot directories, cluster load, and flag anomalies, then apply safe, reversible tweaks (relatime/noatime, readahead, schedulers, fstrim), place/compress data smartly, automate monitoring, and iterate to cut latency spikes.