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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

By Christina Zhu
04 . 09 . 2025

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

By Gabe Monroy, VP & GM Cloud Runtimes and
By Keerti Melkote, CEO of Anyscale
10 . 03 . 2024

Ray Summit 2024: Breaking Through the AI Complexity Wall

By The Anyscale Team
RayTurbo Data blog header image

05 . 20 . 2025

RayTurbo Data Improvements Deliver Up to 5x Faster Data Processing for AI Workloads

By Alexey Kudinkin, 
Hao Chen, 
Praveen Gorthy and 
Richard Liaw
Group 464 (1)

10 . 01 . 2024

Ray Data GA

By Hao Chen, 
Richard Liaw and 
Praveen Gorthy
Untitled design (43)

10 . 01 . 2024

Accelerated Metadata Fetching in Ray Data up to 4.5x Faster on Anyscale

By Balaji Veeramani, 
Hao Chen, 
Richard Liaw, 
Matthew Connor and 
Praveen Gorthy
Scalable and Cost-Efficient Stable Diffusion Pre-training with Ray

05 . 09 . 2024

Reducing the Cost of Pre-training Stable Diffusion by 3.7x with Anyscale

By Yunxuan Xiao and 
Hao Chen
blog-anyscale-pincone

01 . 16 . 2024

RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone

By Scott Lee, 
Kyle Huang, 
Cheng Su and 
Hao Chen
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
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
bytedance-actor-pool

08 . 14 . 2023

How ByteDance Scales Offline Inference with multi-modal LLMs to 200 TB Data

By Amog Kamsetty, 
Hao Chen and 
Liguang Xie

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