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Jules S. Damji

Richard Liaw

Ray 2.8 blog post

Ray 2.8 features Ray Data extensions, AWS Neuron cores support, and Dashboard improvements

ray 2-7 annoucement

Ray 2.7 features major stability improvements to Ray AI Libraries and KubeRay and introduces RayLLM

2.6 animations

Ray 2.6 features streaming for Serve and Train and new Multi-GPU Learner API

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Ray 2.5 features training and serving for LLMs, Multi-GPU training in RLlib, and enhanced Ray Data support

Ben Lorica

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10 must-attend Ray Summit sessions: Generative AI, scalable ML workloads, and more

Amog Kamsetty

Eric Liang

Figure 1

Offline Batch Inference: Comparing Ray, Apache Spark, and SageMaker

Jiajun Yao

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Announcing Ray 2.4.0: Infrastructure for LLM training, tuning, inference, and serving

Jiao Dong

Hao Zhang

Lianmin Zheng

Jun Gong

Phi Nguyen

Figure-5

Training 175B Parameter Language Models at 1000 GPU scale with Alpa and Ray

Clarence Ng

Figure 2

Automatic and optimistic memory scheduling for ML workloads in Ray

Cade Daniel

Zhe Zhang

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

Antoni Baum

NYC taxi dirver data sete

Many Models Batch Training at Scale with Ray Core

CfP Main page

Ray Summit 2023 Call for Proposals is now open

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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Anyscale

Posts by Jules S. Damji