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

Ray Summit 2023 Banner

Ray Summit 2023

PLEASE RSVP/REGISTER FOR THIS MEETUP AT THIS LINK

Ray LLM August Meetup

Bay Area Ray Meetup LLM Community Talks

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Databricks Data + AI 

Productionizing open source LLMs with LangChain & Ray

Robert Nishihara

Bay Area Ray Meetup Talks

Bay Area Ray Community Talks

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Emmy Li

Emmy Headshot

Adam Breindel 

Adam Briendel's Headshot

In-person Workshop: Build and deploy LLM-based applications

Prefect Joint Webinar

Alex Streed

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Toby Rahloff

Phi Nguyen


Watch this webinar hosted by Anyscale, the company behind Ray, the unified framework for scalable computing, and Prefect, the modern data workflow and observability for your data science. Learn how Ray and Prefect combine to provide orchestration and observability for your data workflow at any scale easily, and hear a live case study from LiveEO, the satellite based infrastructure monitoring service, on how they use Prefect and Anyscale to streamline their workloads for their customers.

Learn about key aspects of ML scaling:
- __Bridge the gap between development and production__
Understand how to scale ML workloads from your laptop to the cloud with no code changes. With a single script prepare data, tune, train and scale your workloads.

- __Scale across multiple dimensions__
Hear how organizations are benefitting from embarrassingly parallel experiments and scaling across multiple cores, nodes, and data sources

- __Increase developer velocity and speed experimentation__
See how to speed model development and iterations without scaling complexity. Visualize, optimize, collaborate and standardize models and data pipelines.

- __Orchestration as a service__
Operationalize, automate and manage your workflows without having to worry about moving your data.

- __Coordination plane__
Increase visibility across all of your data and ML workflows.


Orchestrate Your Data Science Workflows at Scale

AWS Loft Events (2)

See the full agenda for the March 23, New York and March 29, San Francisco events.

AWS and Anyscale Event: Scaling AI/ML with Anyscale and Ray

Ray NYC Meetup 

This is an exclusive Ray Meetup for the NYC and EDT timezone

Ray NYC Community March Meetup Talks

Building Generative AI on AWS

Hear Robert Nishihara, Anyscale CEO and Co-founder talk about using Ray and Anyscale as the underlying infrastructure for foundation models, as part of the recent livestream event, The Startups Behind Generative AI.


Ray and Anyscale: Infrastructure for Foundation Models

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Ray European Meetup Community Talks - February 2023

Arize Joint Webinar

Dat Ngo

dat-ngo

See how Ray and Arize combine to provide highly scalable and easily managed ML deployments, with automatic issue detection and quick troubleshooting. 

Watch this on-demand webinar hosted by Anyscale, the company behind Ray, the unified framework for scalable computing, and Arize, the leader in machine learning observability. See how Ray and Arize combine to provide ease of AI/ML development and observability along with the ability to understand performance, data quality and drift issues. 

Productionizing Machine Learning with Observability, Quality and Flexibility at Scale

Ray January Meetup 2023 

We are delighted to kick off New Year with our first January Ray Meetup with talks from Ray community users and committers. Join us to hear from the Ray team at Anyscale and Shopify about Ray and its usage.

Ray Meetup Community Talks - January 2023

W&B Joint Webinar

Anish Shah

Tricia Fu

Watch this on-demand webinar by Anyscale, the company behind Ray, the unified framework for scalable computing, and Weights & Biases, the leading developer-first MLOps platform. The webinar discusses how Ray and Weights & Biases are used together by developers and AI teams to ease AI/ML development, experimentation, experiment tracking, model scaling and model management. 


Simplify Building, Scaling, Tracking and Monitoring Your AI/ML Models

Use Cases Webinar (1)

Christy Bergman


Watch this on-demand webinar to see examples of how organizations successfully develop and deploy large-scale machine learning applications and address demand forecasting, NLP, scalable reinforcement learning, recommendation systems, estimated on-time arrival, dynamic pricing and more.

See examples of how organizations successfully develop and deploy large-scale machine learning applications using Ray, the Python-native unified distributed framework for AI/ML scaling:

- Scalable demand forecasting and the use of distributed time-series partitions
- Scalable reinforcement learning including use cases in gaming, trading, portfolio optimization, robotics, traffic optimization and more


How AI Teams Ease Scaling Popular AI/ML Use Cases

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 

November Meetup

Monthly Ray Community Meetup talks for the month of November

Ray Community Meetup Talks - November 2022

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Watch this on-demand webinar to learn how to make scaling ML and Python workloads a simple integrated experience. Watch the new Workspace Environment, powered by Ray, that makes it a simple developer experience to:
- Easily Scale any AI/ML and Python workloads without any complex infrastructure or scaling complexity
- Move and operationalize workloads to production without having to refactor any machine learning code
- Unify the deployment and scaling experience without having to stitch together many different AI/ML tools and frameworks 
- Scale any workload, even on large data, without consuming too much costly compute


Making ML Scaling a Simple Experience for Every Developer

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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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 

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From Unity Catalog to MLflow: Experiment Tracking and Lineage for Ray

Virtual Hands on Lab

 Live Virtual Hands On Lab: Building Scalable AI with Ray

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Event Types

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