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Richard Liaw

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Cade Daniel

Jules S. Damji

Zhe Zhang

The Ray 2.3 release features exciting improvements across the Ray ecosystem. In this blog post, we will highlight new features, performance enhancements, and support for new platforms. 

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Announcing Ray 2.3: performance improvements, new features and new platforms

Eric Liang

Eric Liang headshot

This blog covers three methods of batch inference (distributed model evaluation) in Ray: from low-level using Ray Actors, to high-level using Ray Data.

We'll see how low-level Ray APIs allow you to control exactly "How" Ray is executing computations, while Ray's libraries enable you to specify just the "what" --- for a more out-of-the-box scalable experience.

3 ways of batch inference in Ray.

Model Batch Inference in Ray: Actors, ActorPool & Datasets

Model Batch Inference in Ray: Actors, ActorPool, and Datasets

Ion Stoica

Ion Stoica headshot

Ben Lorica

Ray For Success

Four Reasons Why Leading Companies Are Betting On Ray

Ray logo (webinar thumbnail)

Ray Forward 2022

Ray Distributed Library Patterns (Figure 2)

Ray Distributed Library Patterns

RaySummit2021

Ray Summit 2021 CFP Now Open!

The Ray Summit 2025 CfP is now open for submissions. The premier AI conference will be held November 3-5 in San Francisco, and the due date for CfPs is July 14th, 2025.  

Ray Summit 2025 CFP Open

Ray Summit 2025: Call for Proposals Closes on July 14th, 2025

Google + Anyscale

Google Cloud Integrates Anyscale's RayTurbo with GKE

Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE

At Ray Summit 2024, we brought together AI experts and practitioners to dive into the future of distributed AI and scalable machine learning.

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Ray Summit 2024: Breaking Through the AI Complexity Wall

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The Call for Speakers for Ray Summit 2025 has Been Extended!

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

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