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Seiji Eicher

Abrar Sheikh

Alex Yang

Akshay Malik

Kourosh Hakhamaneshi

Spencer Peterson (Google)

Major upgrades to Ray Serve: Online Inference with 88% lower latency and 11.1x higher throughput

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Ray Serve’s New Grafana Dashboard: Debugging That Wasn’t Possible Before

Harshit Agarwal

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Ray Serve: Advancing Flexibility with Async Inference, Custom Request Routing, and Custom Autoscaling

Praveen Gorthy

Richard Liaw

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Announcing RayTurbo

Matt Connor

Cindy Zhang

Anyscale’s New Replica Compaction

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

Neelay Shah

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

Edward Oakes

Phi Nguyen

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

Anyscale on Azure Enters Public Preview- Build and Deploy AI at Scale Inside Your Own Azure Tenant

Anyscale on Azure Enters Public Preview: Build and Deploy AI at Scale Inside Your Own Azure Tenant

Reimagining ML Operations with Agent Skills- a New Maturity Model for On-Call

Reimagining ML Operations with Agent Skills: a new maturity model for on-call

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Introducing the Anyscale Agent Skill for LLM Post-Training

Announcing first-party service - Anyscale on Azure

Announcing Anyscale on Azure: Build, Run and Scale AI-Native Workloads Securely on Azure Infrastructure

Ray joins PyTorch Foundation

Ray is Joining The PyTorch Foundation

20x Faster Training Data Reads with Alluxio and Ray Data- A Cross-Region Benchmark

20x Faster Training Data Reads with Alluxio and Ray Data: A Cross-Region Benchmark

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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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Posts by Akshay Malik