
Workload Example
A workload example demonstrating model training with PyTorch and Lightning.
In this module, you’ll learn when to use Ray Train to scale deep learning workloads and how to train a Stable Diffusion UNet with PyTorch Lightning. You’ll build a simple Parquet-backed PyTorch Dataset/DataLoader and run single-GPU training as a baseline before moving to distributed training on a multi-GPU Ray cluster.

Introduction to Ray Train
When to use Ray Train?
PyTorch Example
Introduction to Ray Train with PyTorch Lightning
Single GPU Training with PyTorch Lightning
Ray Train DDP with PyTorch Lightning