cuopt-install

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Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.

AI & Automation 3,042 stars 352 forks Updated today Apache-2.0

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# cuOpt Install (user) Install cuOpt to *use* it from Python, C, or as a REST server. For building cuOpt from source to contribute or modify it, see `cuopt-developer`. ## System requirements - **GPU**: NVIDIA Compute Capability ≥ 7.0 (Volta or newer). Examples: V100, A100, H100, RTX 20xx/30xx/40xx. Not supported: GTX 10xx (Pascal). - **CUDA**: 12.x or 13.x. The package CUDA suffix must match the runtime CUDA (e.g. `cuopt-cu12` / `libcuopt-cu12` with CUDA 12). - **Driver**: NVIDIA driver compatible with the CUDA version. - `cuopt-cuXX` (Python) depends on `libcuopt-cuXX` (C), so installing the Python package also installs the C library and headers. Installing `libcuopt-cuXX` on its own does **not** install the Python API. ## Required questions Ask these if not already clear: 1. **Interface** — Python, C, or REST server? Server can be called from any language via HTTP. 2. **CUDA version** — What is installed? Check with `nvcc --version` or `nvidia-smi`. 3. **Package manager** — pip, conda, or Docker preferred? 4. **Environment** — Local machine with GPU, cloud instance, Docker/Kubernetes, or remote/server (no local GPU)? ## Python API **Choose one** — do not run both. The second install would override the first and can cause CUDA / package mismatch. ### pip - **CUDA 13.x:** ```bash pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu13 ``` - **CUDA 12.x:** ```bash pip install --extra-index-url=https://pypi.nvidia.com 'cuopt-cu12==26.2.*' ``` ###...

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Author
NVIDIA
Repository
NVIDIA/skills
Created
5 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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