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NGC CLI installation: Quick Reference — Control Plane Installation and Configuration (NVIDIA-Certified Professional: AI Infrastructure)
NGC CLI Installation — Quick Reference The NGC CLI (NVIDIA GPU Cloud Command Line Interface) is a critical tool for managing NVIDIA AI resources...
NGC CLI Installation — Quick Reference
The NGC CLI (NVIDIA GPU Cloud Command Line Interface) is a critical tool for managing NVIDIA AI resources, including containers, models, and datasets. This quick reference provides essential facts, commands, and configuration tips for efficient installation and use within AI infrastructure deployments.
Key Concepts
NGC CLI : Command-line interface to interact with NVIDIA's NGC catalog for AI containers, models, and other resources.Authentication : Requires an API key from the NVIDIA NGC website for secure access.Compatibility : Supports Linux distributions commonly used in AI infrastructure environments.
Prerequisites
Linux OS with internet connectivity Python 3.6+ installed Docker installed and configured for GPU support Valid NVIDIA NGC account and API key
Installation Steps
Download the NGC CLI binary: wget https://ngc.nvidia.com/downloads/ngccli_linux.zip Unzip the package: unzip ngccli_linux.zipMove binary to a directory in PATH: sudo mv ngc /usr/local/bin/Make executable: chmod +x /usr/local/bin/ngc
Configuration
Generate API key: Log in to NGC website > User Profile > API KeyConfigure CLI with API key: ngc config set and enter the API key when promptedVerify configuration: ngc config list to confirm settings
Common Commands
ngc registry image list — List available container images ngc registry image pull IMAGE_NAME — Pull container image locally ngc catalog model list — List AI models available ngc catalog model download MODEL_NAME — Download AI model ngc config set — Update configuration settings
Best Practices
Keep NGC CLI updated regularly to access latest features and fixes Secure API keys and avoid sharing them publicly Integrate NGC CLI usage with container orchestration tools like Slurm for streamlined workflows Use GPU-enabled Docker with NVIDIA Container Toolkit for optimal performance
Troubleshooting Tips
Permission errors: Ensure ngc binary has executable permissionsAuthentication failures: Verify API key validity and reconfigure if neededNetwork issues: Confirm internet access and proxy settings if applicable
Worked Example: Installing and Configuring NGC CLI
Step 1: Download and unzip CLI
wget https://ngc.nvidia.com/downloads/ngccli_linux.zip
unzip ngccli_linux.zip
Step 2: Move and set permissions
sudo mv ngc /usr/local/bin/
chmod +x /usr/local/bin/ngc
Step 3: Configure with API key
ngc config set (enter API key when prompted)
Step 4: Verify configuration
ngc config list
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Category: NVIDIA-Certified Professional: AI Infrastructure
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