Welcome to AUP Learning Cloud Documentation

AUP Learning Cloud is a tailored JupyterHub deployment designed to provide an intuitive and hands-on AI learning experience. It features a comprehensive suite of AI toolkits running on AMD hardware acceleration, enabling users to learn and experiment with ease.

Introduction

• Overview
  • What It Provides
  • Deployment Modes
  • Learning Solutions
  • Acknowledgment

Installation

• Quick Start
  • Prerequisites
  • Install
  • Common Variants
  • Uninstall
  • Next Steps
• Single-Node Deployment
  • What The Installer Does
  • Prerequisites
  • Standard Install
  • Important Defaults In This Repository
  • Installer Command Matrix
  • Common Install Flags
  • Offline And Portable Workflows
  • Common Day-2 Operations
  • Local Configuration Files
  • Verification
  • Troubleshooting Notes
• Multi-Node Cluster Deployment
  • Overview
  • Prerequisites
  • 1. Prepare SSH Access
  • 2. Configure Inventory
  • 3. Build The Cluster
  • 4. Install kubectl / Helm On The Operator Machine
  • 5. GPU Device Plugin And Labels
  • 6. Storage
  • 7. Prepare Images
  • 8. Prepare The Multi-Node Values File
  • 9. Deploy JupyterHub
  • 10. Verify Deployment
  • Access JupyterHub
  • Operational Notes
  • Troubleshooting
  • Notes On Scope

Learning Toolkits

• Learning Toolkits

JupyterHub Configuration

• JupyterHub Configuration
  • Configuration Reference: runtime/values.yaml
  • JupyterHub Configuration Guide
  • Authentication Guide
  • User Management Guide
  • User Quota System
  • How to Setup GitHub App for JupyterHub
  • Quick Links

User Guide

• User Guide
  • Admin Manual
  • For Administrators
  • For Users
  • Quick Links
  • Related Documentation

Contributing

• Contributing to AUP Learning Cloud

Indices and tables

• Index

• Search Page