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Development wheels are available as nightlies, please update `--extra-index-url` to `https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/` to install latest nightly packages.
cuOpt can be installed with conda (via [miniforge](https://github.com/conda-forge/miniforge)):
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Users can pull the cuOpt container from the NVIDIA container registry.
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```bash
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# For CUDA 12.x
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docker pull nvidia/cuopt:latest-cuda12.9-py312
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# For CUDA 13.x
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docker pull nvidia/cuopt:latest-cuda13.0-py312
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```
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Note: The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
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Note: The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py312``or ``<version>-cuda13.0-py312``tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` or ``25.5.0-cuda13.0-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
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More information about the cuOpt container can be found [here](https://docs.nvidia.com/cuopt/user-guide/latest/cuopt-server/quick-start.html#container-from-docker-hub).
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