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Akshay Malik

Praveen Gorthy

Richard Liaw

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Explore RayTurbo, Anyscale's optimized Ray runtime. Best price-performance and developer capabilities for AI workloads, built by the team that built Ray.

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Announcing RayTurbo

Matt Connor

Cindy Zhang

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Solve resource fragmentation with Anyscale's new Replica Compaction feature.  Easily optimize resource usage for online inference replication.

Anyscale’s New Replica Compaction

Introducing Anyscale’s New Replica Compaction

Deploy Ray Serve with up to 50% fewer nodes using Anyscale Replica Compaction

Neelay Shah

Anyscale is teaming with NVIDIA to combine the developer productivity of Ray Serve and RayLLM with the cutting-edge optimizations from NVIDIA Triton Inference Server software and the NVIDIA TensorRT-LLM library.

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Low-latency Generative AI Model Serving with Ray, NVIDIA Triton Inference Server, and NVIDIA TensorRT-LLM

Edward Oakes

Phi Nguyen

Learn how Ray Serve & Anyscale solves common challenges of serving AI in production - improving time to market, reducing cost, and ensuring reliability.

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Tackling the Cost & Complexity of Serving AI in Production

Ray Serve: Tackling the cost and complexity of serving AI in production

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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Call for Papers for the vLLM Featured Track at Ray Summit is now Open!

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