Introduction to Ray: Fast and Simple Distributed Computing

*This tutorial was created in 2020. Our products move quickly, and some of the examples shown here might not work in newer versions.*

To view recordings and materials from the first Anyscale Academy, please visit the Anyscale Blog. 

Ray was created to make it easier to scale diverse computation tasks and distributed state across a cluster, with a minimum of distributed systems expertise and knowledge required. You’ll learn about the particular challenges Ray meets, how Ray works under the hood, how to use Ray in your own applications, and how to debug problems when they occur.