Content Deep Dive
Ray 1.13: Improving support for shuffling terabyte-scale and larger datasets
Blog post from Anyscale
Post Details
Company
Date Published
Author
Stephanie Wang, Jiao Dong, Dmitri Gekhtman, Sang Cho
Word Count
680
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Source URL
Summary
Ray 1.13 has been released, featuring improvements in scalable shuffle for large-scale datasets, performance fixes and enhancements to the Ray Serve Deployment Graph API, enhanced stability of autoscaling support through KubeRay, usage stats data collection now on by default, Python 3.10 support, and various other features and enhancements.
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