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

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Why RAG Breaks at Scale: The Data Pipeline Problem

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Best Practices for Ray in Production

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Adam Breindel 

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Introduction to Ray Data - Processing Large Datasets on Heterogeneous Clusters

Introduction to Anyscale and Ray AI Libraries

Supercharging AI Platforms with Anyscale

Optimized AI Workloads on Anyscale with RayTurbo

Fast and Scalable Model Training with PyTorch and Ray

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Robert Nishihara

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End to End LLMs Workflows with Anyscale

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Marwan Sarieddine

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Yunxuan Xiao

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AI Deep Dives with Anyscale

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Scaling AI Workloads Efficiently and Reliably with Ray on EKS

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Build a chat assistant fast using Canopy from Pinecone and Anyscale Endpoints

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Building LLM Apps for Production, Part 1

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

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

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

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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

Simplify Scaling Machine Learning

Antoni Baum

Watch this on-demand webinar to learn how to simply scale any AI or Python workload using Ray, the fastest growing unified compute framework for scaling machine learning workloads.

Learn how users are using Ray to build, manage and deploy scalable ML workloads.

See more highlights below: 

Simplify Scaling Machine Learning and Python Workloads

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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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

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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

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Event Types

All Products / Libraries

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

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

One-click to launch. Start fast, make it yours

Events