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

panel

Zhe Zhang

Xu Ning, PhD

Xu Ning

Azeem Ahmed

Bhavya Agarwal

Zhe Zhang (Open Source Engineering Lead), Anyscale; Xu Ning, PhD, (Senior Engineering Manager), Uber; Azeem Ahmed (Director of Data Platform Engineering), Shopify; Bhavya Agarwal (ML Engineer), Robinhood

Panel: ML Platform on Ray

dong li

Dong Li

Dong Li, PMC Member, Apache Kylin | Founding Member & Product Head, Kyligence

Simplify Big Data & AI on Spark and Ray with MLSQL

k & l

Kai Huang

Luyang Wang

Luyang Wang 2

Kai Huang, Software Engineer, Intel & Luyang Wang, Director of Machine Learning Engineering & Data Science, Restaurant Brands International

Mobile Order Click-Through Rate (CTR) Recommendation with Ray on Apache Spark at Burger King

stefan

 Stefan Schneider

Stefan Schneider, PhD Candidate & Researcher, Paderborn University

DeepCoMP: Multi-agent Reinforcement Learning for Multi-cell Selection in 5G and Beyond

Hao Chen

Improving Ray for Large-scale Applications

feng

Fengbin Fang

Fengbin Fang, Software Engineer, Ant Group

Application of Online Resource Allocation Based on Ray

joseph

Joseph Suarez

Joseph Suarez, PhD Student, MIT | Creator, Neural MMO

Neural MMO: Building a Massively Multiagent Research Platform with Ray and RLlib

sang

SangBin Cho

Data Processing on Ray

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

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

hero2

How Torc Robotics Scales Multimodal AI for Autonomous Driving with Ray

Building a Multimodal Video Processing Pipeline with Ray

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

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

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

Event Types

All Products / Libraries

Visit Anyscale at Microsoft Build, Booth G201, June 2-3: 

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