Featured Posts and News

Ray Summit 2025: Call for Proposals Closes on June 30th, 2025
05 . 30 . 2025

Ray Summit 2025: Call for Proposals Closes on June 30th, 2025

04 . 09 . 2025

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

10 . 03 . 2024

Ray Summit 2024: Breaking Through the AI Complexity Wall

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10 . 07 . 2024

Ray Compiled Graphs: Optimized AI Workloads with Native GPU Communication

By Sang Cho, 
Sam Chan and 
Stephanie Wang
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09 . 15 . 2023

Fast, flexible, and scalable data loading for ML training with Ray Data

By Stephanie Wang, 
Scott Lee, 
Cheng Su, 
Hao Chen and 
Eric Liang
featured image ml training with ray data

09 . 15 . 2023

Fast, flexible, and scalable data loading for ML training with Ray Data

By Stephanie Wang, 
Scott Lee, 
Cheng Su, 
Hao Chen and 
Eric Liang
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05 . 11 . 2023

Streaming distributed execution across CPUs and GPUs

By Eric Liang, 
Stephanie Wang and 
Cheng Su
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06 . 09 . 2022

Ray 1.13: Improving support for shuffling terabyte-scale and larger datasets

By Stephanie Wang, 
Jiao Dong, 
Dmitri Gekhtman and 
Sang Cho
Dask+Ray

06 . 29 . 2021

Analyzing memory management and performance in Dask-on-Ray

By Stephanie Wang
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03 . 22 . 2021

Executing a distributed shuffle without a MapReduce system

By Stephanie Wang
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02 . 16 . 2021

Data Processing Support in Ray

By Sang Cho, 
Alex Wu, 
Clark Zinzow, 
Eric Liang and 
Stephanie Wang