Book - Learning Ray

Learning Ray is the first and only comprehensive book on Ray and its growing ecosystem. Whether you are new to Ray or looking to go deeper on a specific libraries, this will serve as a helpful resource to jumpstart your learning.

Learning Ray is authored by core members of the Ray engineering team: Max Pumperla, Richard Liaw, and Edward Oakes.

In this book, you’ll learn:

• Internal workings of Ray
• How to use Ray locally and on a cloud/cluster
• Scaling machine learning workloads using Ray
• Deep dives on Ray libraries for distributed training, reinforcement learning, hyperparameter tuning, and model serving.

Download your free copy today!