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AI on Linux often collapses into dependency hell—GPU drivers, CUDA/ROCm, glibc and fast‑moving frameworks clash, and mixing system Python with pip makes it worse. This guide shows a repeatable escape: bootstrap minimal tools, isolate per‑project venvs, pin versions, use vendor wheels, build only when needed, containerize mixed stacks, and follow a paste‑ready debugging checklist with apt/dnf/zypper commands.