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Practical Linux AI ops checklist to turn flaky, ad-hoc setups into reproducible, GPU-ready stacks. Walks you through hardware checks, driver/CUDA install and validation, pinned Python envs, GPU-aware containers (Docker/Podman with NVIDIA toolkit), and performance/monitoring/I/O/systemd hygiene. Includes copy-paste commands for apt/dnf/zypper, a 60-second CUDA sanity test, and guidance to standardize via scripts and golden images.