Overview¶
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.
What is AUP Learning Cloud?¶
AUP Learning Cloud provides a multi-user Jupyter notebook environment optimized for AI and machine learning education on AMD hardware platforms.
Key Features¶
Hardware Acceleration¶
AMD GPU: Leverage ROCm for high-performance deep learning and AI workloads
AMD NPU: Utilize Ryzen™ AI for efficient neural processing unit tasks
AMD CPU: Support for general-purpose CPU-based computations
Flexible Deployment¶
Kubernetes provides a robust infrastructure for deploying and managing JupyterHub. We support both single-node and multi-node K3s cluster deployments.
Authentication¶
Seamless integration with GitHub Single Sign-On (SSO) and Native Authenticator for secure and efficient user authentication:
Auto-admin on install: Initial admin created automatically with random password
Dual login: GitHub OAuth + Native accounts on single login page
Batch user management: CSV/Excel-based bulk operations via scripts
Storage Management and Security¶
Dynamic NFS provisioning ensures scalable and persistent storage for user data, while end-to-end TLS encryption with automated certificate management guarantees secure and reliable communication.
Learning Solutions¶
AUP Learning Cloud offers the following Learning Toolkits:
Note
Only Deep Learning and Large Language Model from Scratch are available in the v1.0 release.
Computer Vision - 10 hands-on labs covering common computer vision concepts and techniques
Deep Learning - 12 hands-on labs covering common deep learning concepts and techniques
Large Language Model from Scratch - 9 hands-on labs designed to teach LLM development from scratch
Available Notebook Environments¶
Environment |
Image |
Version |
Hardware |
|---|---|---|---|
Base CPU |
|
v1.0 |
CPU |
CV COURSE |
|
v1.0 |
GPU (Strix-Halo) |
DL COURSE |
|
v1.0 |
GPU (Strix-Halo) |
LLM COURSE |
|
v1.0 |
GPU (Strix-Halo) |