Live Virtual Hands On Lab: Distributed Training at Scale with Ray and PyTorch

Ready to move beyond single-GPU limits and master distributed systems? Join us for a live virtual hands on lab where ML and platform engineers will explore how to scale model training from a single node to a massive cluster using PyTorch and Ray. In this virtual session you will learn: - What is distributed Training ? And do we need it? - Introduction to Distributed Data Parallel (DDP) - Utilize advanced DDP techniques with ZeRO-1, ZeRO-2, ZeRO-3, and FSDP - Introduction to Ray and how you can use Ray Train to train models at scale - Training a model at scale using Ray Train and PyTorch at scale This free lab is more than a webinar. You’ll leave with a working understanding of Ray, a reusable project you can build on, and a clear view of how Ray and Anyscale work together to accelerate AI development.