Introduction to Ray Core and its Ecosystem

This is an introductory and interactive session on concepts and code on Ray Core and Ray’s Ecosystem. The session covers why use and adopt Ray, touches upon Ray’s Ecosystem for scaling machine learning (ML) workloads, and provides an overview of Ray’s architecture and components.

We’ll also cover Ray Core APIs to write remote functions, actors and understand Ray’s basic design patterns for writing distributed Python applications.

By the end of this session, you will learn:

• Why distributed computing is a necessity today
• What Ray native libraries to use to scale your ML workloads
• How to use Ray Core APIs