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Outlines a practical plan for upgrading Linux in AI environments: audit hardware and dependencies (GPU drivers, CUDA, Python libs), verify kernel/glibc compatibility, use containers and version pinning, stage and benchmark models, automate with IaC, schedule maintenance and backups, define rollback paths, patch and harden, and monitor post-upgrade to ensure stability and performance.