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

jaeyun

Jaehyun Sim

Amar Shah

Jaehyun Sim (Software Engineering Manager) & Amar Shah (Cloud Architect/Infrastructure Engineer), Ikigai Labs

Achieving Scalability and Interactivity with Ray Serve

carson wang

Carson Wang

Carson Wang, Software Engineering Manager, Intel Data Analytics Software Group

RayDP: Build Large-scale End-to-end Data Analytics and AI Pipelines Using Spark and Ray

richard decal

Richard Decal

Richard Decal, Lead ML Engineer, Dendra Systems

How Ray and Anyscale Make it Easy to do Massive-scale ML on Aerial Imagery

stephanie and yi

Stephanie Wang

Yi Cheng

Stephanie Wang, PhD Student, UC Berkeley | Software Engineer, Anyscale & Yi Cheng, Software Engineer, Anyscale

Ray Internals: Object Management with the Ownership Model

tengwei

Tengwei Cai

Tengwei Cai, Software Engineer, Ant Group

Building High Availability and Scalability Online Computing Applications on Ray

domingo

Juan Roberto Honorato

Domingo Ortuzar

Juan Roberto Honorato, AI Tech Lead, Anastasia

The Quick Journey to Using Ray: How We Implement Ray and Anyscale to Speed up our ML Processes

srini

Srinivasa Rao Aravilli

Srinivasa Rao Aravilli, Director of Engineering & Data Platforms, AI/ML & Privacy Engineering, Visa

Detection of Sensitive Personal Data in Large Data Sets Using Ray with Deep Learning

rob and dan

Daniel Imberman

Rob Deeb

Daniel Imberman (PMC Member, Apache Airflow | Software Engineer) & Rob Deeb (Senior Data Analytics Engineer), Astronomer.io

Data Science at Scale: From Notebook to Production with Airflow and Ray

devin

Devin Petersohn

Devin Petersohn, PhD Student, UC Berkeley

Scaling Interactive Data Science with Modin and Ray

chris van p

Chris Van Pelt

Chris Van Pelt, Co-founder, Weights & Biases

W&B Tables and Ray

clark

Clark Zinzow

Clark Zinzow, Software Engineer, Anyscale

Per-epoch Shuffling Data Loader: Mix It Up As You Train!

wildlife

Emiliano Castro

Vinicius Alves

Felipe Antunes

Emiliano Castro (Principal Data Scientist), Vinicius Alves
(Data Scientist), & Felipe Antunes (Staff Data Scientist), Wildlife Studios

Using Reinforcement Learning to Optimize IAP Offer Recommendations in Mobile Games

NAME

EMAIL

COMPANY

Register to watch

travis

Travis Addair

End-to-End AutoML with Ludwig on Ray

patrick 

Patrick Ames

Patrick Ames, Senior Software Engineer, Amazon

Petabyte Scale Datalake Table Management with Ray, Arrow, Parquet, and S3

simon

Simon Mo

Ray Serve: Patterns of ML Models in Production

kai and michael

Michael Mui

Kai Fricke

Michael Mui, Senior Software Engineer, Uber ML & Kai Fricke, Software Engineer, Anyscale

Distributed XGBoost on Ray

edi 

Edi Palencia

Edi Palencia, Principal AI Engineer, Microsoft

Offline RL with RLlib

raoul

Raoul Khouri

Raoul Khouri, Quantitative Software Engineer, Two Sigma

A 24x Speedup for Reinforcement Learning with RLlib + Ray

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

hero2

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

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

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

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

121125 1500x1000 2x

 Live Virtual Hands On Lab: Building Scalable AI with Ray 

Lineage Tracking webinar cover photo

From Unity Catalog to MLflow: Experiment Tracking and Lineage for 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

Catch Ray on the roads - Register for your city

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

Learn why Anyscale is best place to run Ray

Free, self-paced curriculum for practitioners

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Events

Ray Summit

Achieving Scalability and Interactivity with Ray Serve

Ray Summit

RayDP: Build Large-scale End-to-end Data Analytics and AI Pipelines Using Spark and Ray

Ray Summit

How Ray and Anyscale Make it Easy to do Massive-scale ML on Aerial Imagery

Ray Summit

Ray Internals: Object Management with the Ownership Model

Ray Summit

Building High Availability and Scalability Online Computing Applications on Ray

Ray Summit

The Quick Journey to Using Ray: How We Implement Ray and Anyscale to Speed up our ML Processes

Ray Summit

Detection of Sensitive Personal Data in Large Data Sets Using Ray with Deep Learning

Ray Summit

Data Science at Scale: From Notebook to Production with Airflow and Ray

Ray Summit

Scaling Interactive Data Science with Modin and Ray

Ray Summit

W&B Tables and Ray

Ray Summit

Per-epoch Shuffling Data Loader: Mix It Up As You Train!

Ray Summit

Using Reinforcement Learning to Optimize IAP Offer Recommendations in Mobile Games

Ray Summit

End-to-End AutoML with Ludwig on Ray

Ray Summit

Petabyte Scale Datalake Table Management with Ray, Arrow, Parquet, and S3

Ray Summit

Ray Serve: Patterns of ML Models in Production

Ray Summit

Distributed XGBoost on Ray

Ray Summit

Offline RL with RLlib

Ray Summit

A 24x Speedup for Reinforcement Learning with RLlib + Ray