Ray RLlib

Ray Train

Ray Datasets

RayDP

Retail

Gaming

Government

Financial

Ray Serve

Anyscale

Ray Core

Healthcare

Technology

Ray Roadshow

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

berte

Jonathan Berte

Scaling AI applications require a parallel pipeline approach. With the help of ray actors, Robovision created the concept of ML framework independent compute cells and pipelines. These cells can be reconfigured later into other pipelines and be published in a private or public AI store. The age of scalable AI has finally started. We explore scalable AI cases in agritech, healthcare, manufacturing and smart cities.


AI In Production Key Challenges and Use Cases 

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

Live Virtual Hands On Lab: Distributed Training at Scale with Ray and PyTorch

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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Multimodal data - Architecting pipelines that don’t break at scale

Multimodal data: Architecting pipelines that don’t break at scale

Hands on Workshop Scaling Vision-Language-Action (VLA) Models with Ray

Hands on Workshop: Scaling Vision-Language-Action (VLA) Models with Ray

From Prototype to Production: Securely Accelerating Physical AI with Vision-Language-Action (VLAs) Models

Promotional webinar graphic from Anyscale on a black background. Text reads ‘Scaling LLM Fine-Tuning with FSDP, DeepSpeed, and Ray.’ The date and times are shown as Feb 19, 8:30 AM PT, 11:30 AM ET, and 5:30 PM CET. The Anyscale logo appears at the top left with the word ‘Webinar’ at the top right. At the bottom left is a headshot of Suman Debnath, labeled Principal Developer Advocate at Anyscale.

Webinar: Scaling LLM Fine-Tuning with FSDP, DeepSpeed, and Ray

Scaling LLM Fine-Tuning with FSDP, DeepSpeed, and Ray

Thumbnail: Webinar: Getting Started with Distributed Training at Scale

Getting Started with Distributed Training at Scale

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 Live Virtual Hands On Lab: Building Scalable AI with Ray 

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

Event Types

All Products / Libraries

Anyscale Agent Skills for Ray is now generally available:

Powered by Ray, Anyscale empowers AI builders to run and scale all ML and AI workloads on any cloud and on-prem.

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Events

Events

See what AI teams can build

AI In Production Key Challenges and Use Cases

Ray Summit

Ray Tune and Ray Serve

Practical Reinforcement Learning

The Road to AutoML: Hyperparameter Tuning and Neural Architecture Search

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

Live Virtual Hands On Lab: Distributed Training at Scale with Ray and PyTorch

Live Virtual Hands On Lab: Distributed Training at Scale with Ray and PyTorch