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 is AUP Learning Cloud?
  • Key Features
  • Learning Solutions
  • Available Notebook Environments

Installation

• Quick Start
  • Prerequisites
  • Installation
  • Script Commands
  • Next Steps
• Single-Node Deployment
  • Prerequisites
  • Installation Steps
  • Access JupyterHub
  • Post-Installation
  • Troubleshooting
  • Upgrading
  • Uninstalling
  • Next Steps
• Multi-Node Cluster Deployment
  • Overview
  • Architecture
  • Prerequisites
  • Installation Steps
  • Access JupyterHub
  • High Availability Configuration
  • Monitoring and Maintenance
  • Troubleshooting
  • Scaling
  • Next Steps

JupyterHub Configuration

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

User Guide

• User Guide
  • Explanation for JupyterHub components
  • Workflow
  • For Administrators
  • For Users
  • Quick Links
  • Related Documentation

Contributing

• Contributing to AUP Learning Cloud

Indices and tables

• Index

• Search Page