skills.rest
yo-steven
yo-stevenCOMMUNITY
Explore all skills by this author →
GitHub

cuopt-install

Guide NVIDIA cuOpt installation for Python, C, or REST server use.

Updated May 23, 2026
Search Tags:#verification#docker#nvidia#cuopt#cuda versioning#python installation#rest server
One-click install
npx skills add https://github.com/yo-steven/skills-exploration-20260522 --skill cuopt-install
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cuopt-install
Source: https://github.com/yo-steven/skills-exploration-20260522/tree/main/skills/cuopt/cuopt-install
Command: npx skills add https://github.com/yo-steven/skills-exploration-20260522 --skill cuopt-install

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you install NVIDIA cuOpt for Python, C/C++, or a REST server by guiding you through system requirements and choosing the correct prebuilt package for your CUDA version and environment.

Core Features & Use Cases

  • Dependency-aware installs (Python, C, Server, Docker): Ensures you install the right package variant (cuXX) and understands how Python installs the corresponding C library.
  • System requirement checks: Covers GPU compute capability, CUDA/driver compatibility, and CUDA major version matching.
  • Verification and troubleshooting: Provides targeted verification steps (import/runtime checks and server health checks) and common fixes for environment mismatch and missing modules.

Use case: you have a GPU machine with CUDA 12.x and want to install cuOpt for Python and confirm it can access the GPU before you start solving routing problems.

Quick Start

Ask an agent to install cuOpt for Python using pip for your CUDA 12.x environment and then verify the install by importing cuopt and constructing a small routing DataModel.

Frequently Asked Questions about cuopt-install

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I install NVIDIA cuOpt for Python with the correct CUDA version?▼

To install cuOpt for Python, you must match your system's CUDA major version to the correct prebuilt package and use the proper NVIDIA extra index for pip. This ensures the Python package and its underlying C library align with your GPU.

Can I deploy the cuOpt REST server inside a Docker container?▼

Yes, you can deploy the cuOpt REST server in Dockerized deployments. The installation process applies to cloud instances and Docker environments, requiring you to select the server interface path and run explicit health checks to confirm runtime GPU access.

Do I need a specific GPU compute capability to run cuOpt?▼

Yes, running cuOpt requires checking your GPU compute capability and ensuring CUDA and driver compatibility. You must match your installed CUDA major version to the correct prebuilt cuOpt packages to guarantee consistent runtime GPU access.

What is the best way to verify a cuOpt installation and GPU access?▼

The best way to verify a cuOpt installation is by running explicit verification commands, such as importing the cuopt Python package and constructing a small routing DataModel to confirm the package, shared library, and runtime GPU access are consistent.

Why does my cuOpt Python installation fail to find the correct C library?▼

cuOpt installation fails when there is an environment mismatch between your selected CUDA version and installed packages. You must select exactly one interface path and use the proper NVIDIA extra index for pip installs to ensure Python correctly installs the corresponding C library.

Related Skills

Explore More Software Engineering Skills→
NVIDIANVIDIA
2.8k

cuopt-installation-common

Identify cuOpt system requirements for GPU, CUDA, and deployment environments.

Official
Intermediate
NVIDIANVIDIA
2.8k

cuopt-server-api-python

Deploy cuOpt REST server and access routing endpoints with Python clients.

Official
Intermediate
vm0-aivm0-ai
76

browserless

Execute Puppeteer and Playwright scripts in the cloud via REST endpoints.

Official
Intermediate
NVIDIANVIDIA
1.0k

cuopt-install

Install NVIDIA cuOpt via pip, conda, or Docker with CUDA version matching.

Official
Intermediate