Anyscale Academy Logo

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.

Introduction to Ray: Fast and Simple Distributed Computing

Mike-Jordan

Michael I. Jordan

Michael I. Jordan headshot

Ion Stoica

Ion Stoica headshot

Michael Jordan, Pehong Chen Distinguished Professor at UC Berkeley, offers his perspective on the current state and future of ML and AI, in his talk, “The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives”.

The Future of ML and AI with Michael Jordan and Ion Stoica

From the creators of Ray, Anyscale is a framework for building machine learning applications at any scale originating from the UC Berkeley RISELab.

Past Events

Introduction to Ray: Fast and Simple Distributed Computing

Anyscale Academy

The Future of ML and AI with Michael Jordan and Ion Stoica

Ray Summit Connect