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An alternate way to install using conda on Windows could be to install it in `WSL2 with CUDA support <https://learn.microsoft.com/en-us/windows/ai/directml/gpu-cuda-in-wsl>`_. Depending on your hardware and workload, WSL2 may offer improved performance for some Python workflows, and therefore we **recommend** this option.
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Using uv
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--------
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To install using `uv <https://docs.astral.sh/uv/>`_, a fast Python package and project manager, written in Rust.
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