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

Supercharging AI Platforms with Anyscale

Optimized AI Workloads on Anyscale with RayTurbo

Fast and Scalable Model Training with PyTorch and Ray

Adam Breindel 

Adam Briendel's Headshot

End-to-End-LLMs-Workflows-with-Anyscale

Robert Nishihara

Goku Mohandas

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End to End LLMs Workflows with Anyscale

blog-ai-deep-dives-with-anyscale

Marwan Sarieddine

Screenshot 2024-05-06 at 3.11.06 PM

Yunxuan Xiao

771b7d9216ffb9c9f04e8521d896b37a

AI Deep Dives with Anyscale

Anyscale - images

Scaling AI Workloads Efficiently and Reliably with Ray on EKS

Anysacale+Pinecone

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

anyscale x llamaindex

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

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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ray compiled graphs

[Ray Meetup] Ray Compiled Graphs Deep Dive

Call for Proposals is open Blog Post

Ray Summit 2024

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Anyscale is the leading AI application platform. With Anyscale, developers can build, run and scale AI applications instantly.

Events

Featured Events

Ray Meetup

[Ray Meetup] Ray Compiled Graphs Deep Dive

Latest Events

Webinar

Supercharging AI Platforms with Anyscale

Webinar

Optimized AI Workloads on Anyscale with RayTurbo

Webinar

Supercharging AI Platforms with Anyscale

Webinar

Optimized AI Workloads on Anyscale with RayTurbo

Webinar

Fast and Scalable Model Training with PyTorch and Ray

Webinar

End to End LLMs Workflows with Anyscale

Webinar

AI Deep Dives with Anyscale

Webinar

Scaling AI Workloads Efficiently and Reliably with Ray on EKS

Webinar

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

Webinar

Building LLM Apps for Production, Part 1

Webinar

Orchestrate Your Data Science Workflows at Scale

Webinar

Productionizing Machine Learning with Observability, Quality and Flexibility at Scale

Webinar

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

Webinar

How AI Teams Ease Scaling Popular AI/ML Use Cases