User Guide#
This section provides end-user guides for AUP Learning Cloud.
For Users#
Start with Platform Basics for login, environment selection, storage, and server lifecycle. Then use JupyterLab Guide or Code Server Guide depending on the environment you launch. For authentication details, see the Authentication Guide. Your administrator can provide the JupyterHub URL; once logged in you can:
Launch notebook environments (Base CPU, GPU Base, CV/DL/LLM/PhySim courses)
Use hardware acceleration options (CPU, GPU) as allowed for your account
Manage your workspace and files in JupyterLab
Stop your server when finished to free resources
Detailed end-user documentation may be expanded in future releases; contact your system administrator or see the repository for updates.
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
GPU Base: Basic ROCm + PyTorch environment with Git Repo cloning
CV Course: Computer Vision with GPU acceleration
DL Course: Deep Learning with GPU acceleration
LLM Course: Large Language Model development with GPU acceleration
PhySim Course: Genesis-based physical simulation with GPU acceleration
Getting Help#
For technical support:
Check the relevant documentation section
Contact your system administrator
Report issues on the GitHub repository