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Practical guide to migrating your AI workflow to Linux for faster, more reliable, reproducible training: choose a supported distro, install GPU drivers (NVIDIA/AMD/Intel), set up isolated Python or conda envs, containerize with Docker/Podman + GPU, move code/data and automate jobs, follow a Windows-to-Linux PyTorch example, and avoid common driver/CUDA pitfalls.