Quickstarts and Walkthroughs

Use this section to get started with NVIDIA AI Workbench. These quickstarts and walkthroughs cover both basic and advanced tasks, including creating projects, writing code in JupyterLab, managing environments, and publishing to a Git server.

Quickstarts are designed to help you quickly become familiar with the AI Workbench desktop application, command line interface (CLI), and NVIDIA-created example projects. You can complete them in any order.

To get hands-on experience with AI Workbench, start with the Tutorial Project, which guides you through core features step by step. You can find it in your local AI Workbench under available projects.

Quickstart Guides

• The AI Workbench Onboarding Project – A step-by-step guided project covering AI Workbench basics.

• Basic Quickstart – Learn the core workflow: create a project, write code in JupyterLab, and push changes to Git.

• Basic Quickstart (CLI) – Use the AI Workbench command line interface (CLI) to manage projects, environments, and containers.

• Walkthrough: Project Dashboard for Onboarding, Monitoring and Managing Your Project – Use the Project Dashboard to monitor GPU usage, track project changes, and manage running applications.

• Walkthrough: Customize Your Environment – Modify project environments, install dependencies, and configure resource settings.

• Walkthrough: Customize Your Environment (CLI) – Manage project environments via the CLI, including package installation and container customization.

• Walkthrough: Add a Custom Application – Add and configure custom applications inside your AI Workbench project.

• Advanced Walkthrough: Hybrid RAG – Set up and run the Hybrid RAG example project, showcasing retrieval-augmented generation workflows.

• Advanced Walkthrough: Use Your Own Container – Bring your own container (BYOC) and integrate it into an AI Workbench project.

Next Steps

• Start with Basic Quickstart to familiarize yourself with the workflow.

• If you prefer the command line, go to Basic Quickstart (CLI).

• Do the Onboarding Project to get an interactive introduction to AI Workbench.

• Learn how to customize environments in Walkthrough: Customize Your Environment or Walkthrough: Customize Your Environment (CLI).

• Explore NVIDIA-created example projects like Advanced Walkthrough: Hybrid RAG.

For additional support, visit the NVIDIA Developer Forum.