Company
Date Published
Author
Asawari Samant
Word count
799
Language
English
Hacker News points
None

Summary

The new version 1.6 of Ray includes several key updates, including the introduction of Ray Datasets for large-scale data loading, Runtime Environments for better dependency packaging, support for GCP TPU VMs in the Autoscaler, and the addition of Ray Lightning as a plugin for PyTorch Lightning to enable parallel training. These features aim to address interoperability issues, provide high-level abstractions, and simplify the process of running large-scale data processing applications on Ray. The updates are designed to make it easier for users to work with Ray and take advantage of its distributed computing capabilities.