Ray RLlib

Ray Train

Ray Datasets

RayDP

Retail

Gaming

Government

Financial

Ray Serve

Anyscale

Ray Core

Healthcare

Technology

Ray Tune

Press Interview

On-Demand Webinar

Webinar

RL Summit

Weekly Demo

Anyscale's webinars provide Ray users the opportunity to connect and learn from the global community of Ray experts.

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Anyscale Connect

Ray Meetup

Anyscale GA Launch

Anyscale Academy provides training on the Ray ecosystem, tailored for data scientists, data engineers, and MLOps engineers.

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Anyscale Academy

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.

Ray Summit

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.

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Ray Tune and Ray Serve

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Eric Liang

Eric Liang headshot

Anna Luo

Anna Luo headshot

Max Pumperla

Max Pumperla headshot

Practical Reinforcement Learning

Richard Liaw

Richard Liaw headshot

Liam Li

Liam Li headshot

Meghana Ravikumar

Meghana Ravikumar headshot

The Road to AutoML: Hyperparameter Tuning and Neural Architecture Search

Mike-Jordan

Michael I. Jordan

Michael I. Jordan headshot

Ion Stoica

Ion Stoica headshot

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

A one stop shop for all events, past and future, to connect and learn from the global community of Ray experts.

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Robert Nishihara on theCUBE

Watch the interview with Anyscale CEO Robert Nishihara and John Walls from theCUBE as part of their coverage of AWS re:Invent 2022 

TheCube Interviews Anyscale CEO at AWS re:Invent 2022 

Ray Meetup-July 25

Through a demo using XGBoost for classification, we will demonstrate how you can scale training, hyperparameter tuning, and inference with Ray — all from a single node to a cluster, with tangible improvements in performance.

Ray Meetup @ SF Bay ACM: Scaling ML/AI workloads with the Ray Ecosystem

Ray Meetup-June 22

It’s time for our June meetup, a monthly series, where we get together to discuss Ray and Ray’s native libraries for scaling machine learning workloads. This month, we have invited Ray community speakers from IBM and Stanford/ETH to share how they use Ray to solve challenging ML problems. Join us to learn about Ray community use cases.

Ray Community Talks: IBM Research and Stanford

Ray Meetup-May 25

Each month we get together to discuss Ray and Ray’s native libraries for scaling machine learning workloads. For May’s meetup, we have invited Ray community members Stanley Bishop (DeepChem.io), Jiaxin Shan (ByteDance), and Aniket Maurya (Grid.ai) to share how they use Ray to solve challenging ML problems.

Ray Community Talks: Grid.ai, DeepChem.io, and ByteDance

This section is used to order the "Types" and "Tags" that show up for filters on the Event Index

Event Types

All Products / Libraries

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

Events

Scalable AI and Python

Events

No events found