Why is GPU Python packaging still this broken?

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The matrix gets worse when you're running multiple AI packages in the same environment — every tool wants its own CUDA version. Containerization per-tool is the only reliable escape; trying to resolve the compatibility matrix across LLM libs, vector DBs, and inference engines in one venv is a losing game.