skills.rest
NVIDIA
NVIDIAOFFICIAL
Explore all skills by this author →
WebsiteGitHub

cuopt-installation-common

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

2.8k|332|Updated Feb 25, 2026
Search Tags:#environment#gpu#installation#cuda#system-requirements#cuopt
One-click install
npx skills add https://github.com/NVIDIA/skills --skill cuopt-installation-common
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cuopt-installation-common
Source: https://github.com/NVIDIA/skills/tree/main/skills/cuopt/cuopt-installation-common
Command: npx skills add https://github.com/NVIDIA/skills --skill cuopt-installation-common

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Install cuOpt — system and environment requirements only. Domain concepts; no install commands or interface guidance.

Core Features & Use Cases

  • Define system prerequisites (GPU capability, CUDA version, driver compatibility).
  • Outline the environment questions to determine deployment context (Environment, CUDA version, Usage, Package manager).
  • Note that Python API and C API are separate installation paths and that server deployments typically use Docker or a dedicated server package; client can be any language.

Quick Start

Assess your environment and verify GPU capability, CUDA version, and driver compatibility before starting cuOpt installation.

Frequently Asked Questions about cuopt-installation-common

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

FAQPage Schema
What are the system requirements for installing cuOpt?▼

cuOpt installation requires verifying GPU capability, CUDA 12.x or 13.x compatibility, and driver versions. You must also determine your deployment context, such as local, cloud, or container environments, before proceeding.

Do I need Docker to deploy a cuOpt server?▼

Server deployments typically use Docker or a dedicated server package. The client communicating with the server can be written in any programming language, separating the deployment environment from the client interface.

Can I install cuOpt using both Python and C APIs?▼

Python API and C API are separate installation paths. You must choose the specific API path that matches your intended usage and development requirements before starting the cuOpt installation process.

How do I prepare my environment before installing cuOpt?▼

Assess your environment by answering questions about your deployment context, CUDA version, intended usage, and package manager. Verify your GPU capability and driver compatibility to ensure proper cuOpt installation.

Does cuOpt work with container environments in the cloud?▼

cuOpt supports deployments on local, cloud, and container environments. You must ensure your chosen cloud or container setup meets the specified GPU capability, CUDA version, and driver compatibility prerequisites.

Related Skills

Explore More Software Engineering Skills→
smith6jt-copsmith6jt-cop
3

windows-cupy-nvrtc

Configure Windows PATH to resolve CuPy NVRTC compilation errors.

Community
Intermediate
sayalinvidiasayalinvidia

cuopt-install

Guide cuOpt installation via pip, conda, or Docker with CUDA checks.

Community
Intermediate
sayalinvidiasayalinvidia

holoscan-install-container

Install Holoscan SDK in a Docker container and validate GPU-enabled execution.

Community
Advanced
NVIDIANVIDIA
2.8k

cuopt-server-api-python

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

Official
Intermediate