Install NVIDIA cuOpt via pip, conda, or Docker with CUDA version matching.
npx skills add https://github.com/NVIDIA/cuopt --skill cuopt-install-nvidia
Please help me install this Agent Skill. Skill: cuopt-install Source: https://github.com/NVIDIA/cuopt/tree/main/skills/cuopt-install Command: npx skills add https://github.com/NVIDIA/cuopt --skill cuopt-install-nvidia
It removes uncertainty about how to correctly install NVIDIA cuOpt for GPU-accelerated optimization, including matching the right CUDA variant and choosing the right interface (Python, C, or REST server).
Tell me which interface you want (Python, C, or REST server), your CUDA major version (12 or 13), and whether you prefer pip, conda, or Docker, and I will give you the exact install command plus a short verification step.
High-intent search queries and answers about installing and using this skill.
To install NVIDIA cuOpt for Python without CUDA mismatch errors, select the cuopt-cuXX package variant matching your installed CUDA major version (12 or 13), then run the pip or conda install command followed by a quick import and version check.
Yes, you can deploy the cuOpt REST server using Docker on remote GPU workstations or cloud instances, ensuring the container has proper GPU access and the libcuopt-cuXX runtime variant matches the host CUDA major version.
The best way to verify cuOpt installation is by running interface-specific checks: executing import and version checks for Python, confirming C API linkage, and performing server health checks for the REST server to ensure full GPU compute access.
Your cuOpt setup fails with a runtime import error because of a CUDA major-version misalignment, meaning you likely installed a cuopt-cuXX or libcuopt-cuXX package variant that does not match your local GPU's CUDA driver.
cuOpt requires your installed CUDA major version to align with the package suffix, choosing between cu12 or cu13 variants for cuopt-cuXX and libcuopt-cuXX, preventing common environment mismatches and missing module issues.
To install the cuOpt C API for local GPU optimization, ensure your system has the correct CUDA major version, then install the libcuopt-cuXX package via pip or conda, verifying GPU compute capability and library linkage post-install.
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