User Guide¶
This section provides guides for users and administrators of AUP Learning Cloud.
- Explanation for JupyterHub components
- Workflow
- Workflow 1: Apply config changes
- Workflow 2: add a new resource image
- Workflow 3: update a existing image
- Workflow 4: edit resource-limitation of an existing image (backend and frontend)
- Workflow 5: change login settings (methods, account, password, localAccount…)
- Workflow 6: change announcement on login page
For Administrators¶
Explanation for JupyterHub components - Comprehensive guide for system administrators
For Users¶
The user documentation covers:
Accessing JupyterHub
Launching notebook environments
Using different hardware acceleration options (CPU, GPU, NPU)
Managing your workspace and files
Best practices for resource usage
Quick Links¶
Common Tasks¶
Login: Use GitHub OAuth or native credentials
Start Server: Select your desired environment and resources
Stop Server: Always stop your server when finished to free up resources
File Management: Use the file browser in JupyterLab
Terminal Access: Available in all notebook environments
Resource Selection¶
When starting your server, you can choose from:
Base CPU: General-purpose computing
CV Course: Computer Vision with GPU acceleration
DL Course: Deep Learning with GPU acceleration
LLM Course: Large Language Model development with GPU acceleration
Getting Help¶
For technical support:
Check the relevant documentation section
Contact your system administrator
Report issues on the GitHub repository