nim-setup

Set up NVIDIA NIM on OpenShift AI with credentials and custom resources.

48|31|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/RHEcosystemAppEng/agentic-plugins --skill nim-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nim-setup
Source: https://github.com/RHEcosystemAppEng/agentic-plugins/tree/main/rh-ai-engineer/skills/nim-setup
Command: npx skills add https://github.com/RHEcosystemAppEng/agentic-plugins --skill nim-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires resources_get, resources_list, resources_create_or_update, events_list, list_data_science_projects, list_serving_runtimes, get_gpu_info, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the setup of the NVIDIA NIM platform on OpenShift AI, enabling optimized model inference.

Core Features & Use Cases

  • NIM Platform Setup: Automates the creation of NGC credentials and the NIM Account custom resource.
  • Pre-Deployment Validation: Checks for the presence of required operators and configurations.
  • User Input Collection: Collects NGC API keys and target namespaces for NIM resources.
  • Resource Creation: Creates image pull secrets, API key secrets, and the NIM Account CR.
  • Platform Readiness Check: Validates the readiness of the NIM platform for model deployments.

Quick Start

Use the nim-setup skill to configure NVIDIA NIM on your OpenShift AI cluster.

Frequently Asked Questions about nim-setup

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

FAQPage Schema
How do I set up NVIDIA NIM on OpenShift AI for model inference?

NVIDIA NIM setup on OpenShift AI automates the creation of NGC credentials, API key secrets, and the NIM Account custom resource. It validates platform prerequisites and resource readiness to enable optimized model inference deployments.

What prerequisites are required to configure NVIDIA NIM on an OpenShift cluster?

Configuring NVIDIA NIM requires an OpenShift AI cluster with necessary operators installed. You must supply an NGC API key and designate a target namespace to create the required image pull secrets and NIM Account custom resource.

How does the NIM Account custom resource validate platform readiness?

The NIM Account custom resource validates platform readiness by checking for the presence of required operators and configurations on OpenShift AI. It ensures all necessary credentials and resources are created before model inference deployment begins.

Do I need GPU resources available before deploying NVIDIA NIM on OpenShift AI?

GPU resources are required on OpenShift AI for NVIDIA NIM model inference. The setup process retrieves GPU information to validate cluster hardware readiness for optimized model deployment and serving runtime operations.

Can I automate the creation of NGC credentials for NVIDIA NIM?

Automating NGC credentials for NVIDIA NIM involves collecting your API key to automatically generate image pull secrets and API key secrets. This streamlines the creation of the NIM Account custom resource within your specified OpenShift AI namespace.

What is the best way to validate operators before starting NVIDIA NIM setup?

Validating operators before NVIDIA NIM setup involves performing a pre-deployment validation check on OpenShift AI. This verifies required operators and configurations are present, ensuring platform readiness for creating NIM custom resources.