Ray RLlib

Ray Train

Ray Datasets

RayDP

Retail

Gaming

Government

Financial

Ray Serve

Anyscale

Ray Core

Healthcare

Technology

Here you can find where the Anyscale and Ray teams will be in attendance at industry events across the globe. 

Industry Event

Press Interview

On-Demand Webinar

Webinar

RL Summit

Weekly Demo

Ray Meetup

Anyscale GA Launch

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

Anyscale Academy Logo

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

Watch on-demand

ray serve

Tricia Fu

Ray Serve is a framework-agnostic and Python-first model serving library built on Ray. In this introductory webinar on Ray Serve, we will highlight how Ray Serve makes it easy to deploy, operate and scale a machine learning API. 

The core of the webinar will be a live demo that shows how to build a scalable API using Natural Language Processing models. 


Building a scalable ML model serving API with Ray Serve 

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Robert Nishihara

Bill Chambers

Modern machine learning (ML) workloads, such as deep learning and large-scale model training, are compute-intensive and require distributed execution. Ray was created in the UC Berkeley RISELab to make it easy for every engineer to scale their applications, without requiring any distributed systems expertise. 

Join Robert Nishihara, co-creator of Ray, and Bill Chambers, product lead for Ray, for an introduction to Ray for scaling your ML workloads. Learn how Ray libraries (eg. Ray Tune, Ray Serve, etc) help you easily scale every step of your ML pipeline — from model training and hyperparameter search to production serving. 

__[View Slides >>](https://speakerdeck.com/anyscale/webinar-an-introduction-to-ray-for-scaling-machine-learning-ml-workloads)__

An introduction to Ray for scaling machine learning (ML) workloads

Archit Kulkarni

Seamlessly Scaling your ML Pipelines with Ray Serve

Roger Ng, MD

Roger Ng

Transforming Medicine - Machine Learning Takeover

Ameer Haj Ali

A Glimpse Into the Ray Autoscaler

Chris Nicholson

AI Use Cases in Industrial Operations and Supply Chain

Anyscale logo

Dan Wallach

The design of Arlo-e2e (and how Ray helped save the day).

Encrypting and Tabulating Big Elections

Ray Summit Connect

Amog Kamsetty

Population Based Training with Ray Tune

RSC3

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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Why RAG Breaks at Scale cover

Why RAG Breaks at Scale: The Data Pipeline Problem

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Best Practices for Ray in Production

google next 2025

Google Next - April 9 - 11

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

Event Types

All Products / Libraries

Don't miss out! Join us for the Ray + AI Infra Summit in NYC on May 20.

Anyscale is the leading AI application platform. With Anyscale, developers can build, run and scale AI applications instantly.

Events