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nvcf-self-managed-installation

Automate deployment, upgrades, and teardown of the NVCF self-managed stack on Kubernetes clusters.

195|43|Updated Apr 1, 2026
Search Tags:#kubernetes#infrastructure#kubectl#helmfile#nvcf#self-managed
One-click install
npx skills add https://github.com/NVIDIA/nvcf --skill nvcf-self-managed-installation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nvcf-self-managed-installation
Source: https://github.com/NVIDIA/nvcf/tree/main/ai-tooling/user/skills/nvcf-self-managed-installation
Command: npx skills add https://github.com/NVIDIA/nvcf --skill nvcf-self-managed-installation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a repeatable, end-to-end workflow to install, upgrade, teardown, and debug the NVCF self-managed stack on Kubernetes clusters.

Core Features & Use Cases

  • Automated deployment and teardown of the nvcf-self-managed-stack helmfile bundle for self-hosted deployments.
  • Support for helm value overrides, image pull secrets, fake GPU operator setup for non-GPU environments, and debugging installation failures.
  • Guidance for clean installation, teardown, and post-install remediation to ensure a healthy self-managed control plane.

Quick Start

Install and configure the self-managed NVCF control plane on your cluster by following the documented helmfile workflow and validation steps.

Frequently Asked Questions about nvcf-self-managed-installation

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

FAQPage Schema
How do I install the NVCF self-managed stack on a Kubernetes cluster?▼

To install the NVCF self-managed stack, use the documented helmfile workflow to automate end-to-end deployment on your Kubernetes cluster, applying validation steps to ensure a healthy self-managed control plane.

What are the prerequisites for deploying an NVCF self-hosted stack?▼

Deploying an NVCF self-hosted stack requires helmfile >= 1.1.x, helm >= 3.12, helm-diff >= 3.11, and kubectl compatibility, along with proper structure checks before initiating the helmfile bundle installation.

Can I deploy the NVCF self-managed stack on a non-GPU Kubernetes cluster?▼

Yes, you can deploy the NVCF self-managed stack on non-GPU clusters by configuring a fake GPU operator setup during the helmfile deployment workflow to simulate GPU resources.

How do I override helm values for an NVCF self-managed installation?▼

You can override helm values for an NVCF self-managed installation by passing inline values as needed during the helmfile workflow to customize chart behavior for image pull secrets and other configurations.

What is the best way to teardown and debug an NVCF self-hosted stack?▼

The best way to teardown and debug an NVCF self-hosted stack is using the automated helmfile teardown workflow, which provides guidance for clean removal and post-install remediation of installation failures.

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