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cuopt-installation-api-python

Official

Install cuOpt Python API quickly and verify.

Software Engineering#pip#verification#docker#conda#install#python-api#cuopt
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Install cuOpt Python API and verify a working environment so developers can build and test GPU-accelerated routing solutions directly from Python. This skill covers setting up the Python client with pip or conda, optional Docker deployment, and validation steps for both client and server components.

Core Features & Use Cases

  • Install via pip or conda for Python environments, matching CUDA version (cu12/cu13) and cuOpt server compatibility.
  • Verify Python client functionality and server availability with provided commands.
  • Support Docker-based deployment for containerized workflows and quick experimentation.

Quick Start

Install cuOpt Python API using pip, conda, or Docker and verify the installation with the steps described above.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: cuopt-installation-api-python
Download link: https://github.com/NVIDIA/skills/archive/main.zip#cuopt-installation-api-python

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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