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Ray Serve

Anyscale

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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

Unlocking Agentic AI with MCP 

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Ray Libraries in Practice: Multimodal AI Workloads

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Ray Libraries in Practice: LLM Workflows

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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

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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

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

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

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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