Fast and Scalable Model Training with PyTorch and Ray

Explore distributed model training techniques using PyTorch and Ray in this 58-minute webinar from Anyscale's Virtual AI Tutorial Series. Learn how to migrate code from pure PyTorch to Ray Train and Ray Data for scalable and efficient AI workflows. Discover reference implementations for common PyTorch+Ray scenarios and gain insights into performance and cost efficiency optimizations for distributed model training on Anyscale. Understand core concepts of modern AI applications, with a focus on large-scale computing and cost-effectiveness in the context of GenAI and LLMs.