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.


We are excited to share early release chapters, raw and unfiltered, to the global Ray community. The book is scheduled for release in April 2023.We will update the early release edition as new material becomes available.

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