Ray Summit brings together the community of architects, machine learning engineers, researchers, and other developers building the next generation of scalable, distributed, high-performance Python and machine learning applications. The conference will include those who are already using Ray platform and those who are interested in learning how Ray can meet their needs.

nachi

Nachi Mehta

Ray and Anyscale: An Optimization Journey

pieter

Pieter Abbeel

Pieter Abbeel, Professor, UC Berkeley | Founder, Covariant | Host, The Robot Brains Podcast

Human-in-the-Loop Reinforcement Learning

sarah

Sarah Bird

Sarah Bird, Principal Program Manager, Responsible AI Lead, Emerging Technology & Research Strategy Lead, and Azure AI, Microsoft

Responsible AI at Scale

Ion Stoica, co-founder, executive chairman & president, Anyscale

[Opening Keynote] Making Distributed Computing Easy

robert

Robert Nishihara, co-founder and CEO, Anyscale

[Opening Keynote] State of Ray

RaySummit Banner Virtual Snackable

Ray Summit is about Ray, the open-source Python framework for building distributed applications that run at any scale. This inaugural, two-day conference showcases Ray best practices, real-world case studies, and the latest research in AI and other scalable systems built on Ray.

Ray Summit

Ray version 1.8 is here! Ray SGD has been renamed to Ray Train, Ray Datasets is now in beta, and more. Read the blog!

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

Ray Summit

Ray Summit

Ray and Anyscale: An Optimization Journey

Ray Summit

Human-in-the-Loop Reinforcement Learning

Ray Summit

Responsible AI at Scale

Ray Summit

[Opening Keynote] Making Distributed Computing Easy

Ray Summit

[Opening Keynote] State of Ray

Ray Summit

Ray Summit

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