Quickstart Guide#

NVIDIA cuOpt provides C API for LP and MILP. This section will show you how to install cuOpt C API and how to use it to solve LP and MILP problems.

Installation#

pip#

This wheel is a Python wrapper around the C++ library and eases installation and access to libcuopt. This also helps in the pip environment to load libraries dynamically while using the Python SDK.

# This is a deprecated module and no longer used, but it shares the same name for the CLI, so we need to uninstall it first if it exists.
pip uninstall cuopt-thin-client

# CUDA 13
pip install --extra-index-url=https://pypi.nvidia.com 'libcuopt-cu13==25.10.*'

# CUDA 12
pip install --extra-index-url=https://pypi.nvidia.com 'libcuopt-cu12==25.10.*'

Note

For development wheels which are available as nightlies, please update –extra-index-url to https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/.

# CUDA 13
pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
  'libcuopt-cu13==25.10.*'

# CUDA 12
pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
  'libcuopt-cu12==25.10.*'

Conda#

NVIDIA cuOpt can be installed with Conda (via miniforge) from the nvidia channel:

# This is a deprecated module and no longer used, but it shares the same name for the CLI, so we need to uninstall it first if it exists.
conda remove cuopt-thin-client

# CUDA 13
conda install -c rapidsai -c conda-forge -c nvidia libcuopt=25.10.* cuda-version=13.0

# CUDA 12
conda install -c rapidsai -c conda-forge -c nvidia libcuopt=25.10.* cuda-version=12.9

Please visit examples under each section to learn how to use the cuOpt C API.

Note

For development conda packages which are available as nightlies, please update -c rapidsai to -c rapidsai-nightly.

On this page