nemotron-customizer-airgap

Plan and build Nemotron Customizer airgap image bundles from airgap.yaml.

1.8k|373|Updated Oct 3, 2025
One-click install
npx skills add https://github.com/NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nemotron-customizer-airgap
Source: https://github.com/NVIDIA-NeMo/Nemotron/tree/main/deploy/nemotron-customizer/airgap
Command: npx skills add https://github.com/NVIDIA-NeMo/Nemotron --skill nemotron-customizer-airgap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams running Nemotron Customizer in disconnected environments need a reliable way to package the right launcher and execution container images, along with all required offline Python dependencies and baked-in git repo overlays, without downloading models or code from the internet at runtime.

Core Features & Use Cases

  • Plans airgap bundles from a single YAML: validates selected step targets, expands declared dependencies, groups steps into minimal execution-image sets, and produces an airgap manifest.
  • Generates offline-ready container artifacts: builds a launcher image plus one or more execution-image tarballs suitable for loading on airgapped clusters.
  • Bakes repo overlays for auto_mount inputs: treats ${auto_mount:git+...} as a connected-machine input and bakes pinned repo overlays into derivative execution images so airgapped jobs do not clone from GitHub.
  • Supports resumable builds: uses airgap-build-state.yaml to resume long-running probe/build phases after failures.
  • Applies runtime overlay configs: provides guidance and example overlays that clear runtime git auto-mounts while preserving persistent storage mounts.

Quick Start

Use the nemotron-customizer-airgap skill to first plan your bundle by running the airgap runner in plan mode and reviewing deploy/nemotron-customizer/airgap/out/airgap-manifest.yaml before executing any Docker build.

Frequently Asked Questions about nemotron-customizer-airgap

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

FAQPage Schema
How do I build offline container images for an airgapped cluster?▼

To build offline container images, you define an airgap.yaml workflow to plan and validate selected step targets, then generate a launcher image and execution-image tarballs suitable for loading on disconnected clusters.

Can I bake git repository overlays into container images for offline deployment?▼

Yes, you can bake git repository overlays into derivative execution images by treating auto_mount inputs as connected-machine inputs, pinning repo overlays so airgapped jobs avoid cloning from GitHub.

How do I package Python dependencies for disconnected environments without internet access?▼

You package Python dependencies for disconnected environments by probing and expanding declared dependencies during the build phase, grouping steps into minimal execution-image sets containing all required offline modules.

Does Nemotron Customizer support resumable build phases for long-running container image generation?▼

Yes, Nemotron Customizer supports resumable builds by using an airgap-build-state.yaml file to automatically resume long-running probe and build phases after failures occur.

What is the best way to handle persistent storage mounts when preparing airgap artifacts?▼

The best way to handle persistent storage mounts when preparing airgap artifacts is applying runtime overlay configs that clear git auto-mounts while safely preserving models, datasets, and checkpoints on persistent storage.