What problem does it solve?
This Skill helps teams prepare Nemotron Customizer workflows for airgapped environments, removing the uncertainty of which images, dependencies, and runtime overlays are needed before offline deployment.
Core Features & Use Cases
- Airgap Planning: Select workflow stages, expand dependencies, and validate required step files and configs before building.
- Image Assembly: Group selected steps into execution images, discover missing Python packages, and build launcher and execution containers on a connected machine.
- Offline Submission: Save tarballs, review manifests, and run Nemotron steps in an airgapped cluster using the baked images and persistent storage mounts.
- Use Case: An operator wants to run SFT Megatron-Bridge offline, so the skill plans the bundle, bakes repo overlays into the execution image, and generates the runtime overlay config to prevent GitHub cloning.
Quick Start
Ask the AI to plan and prepare an airgap bundle for the selected Nemotron Customizer steps, then report the required execution images, saved tarballs, and offline runtime settings.