Ray version 1.8 has been released! The distributed deep learning library Ray SGD has been rebranded to Ray Train, allowing easy scaling of model training using Pytorch, Tensorflow, or Horovod. A tight integration with Ray Datasets for distributed data loading while training is also a new feature, supporting use cases such as handling large datasets and minimizing cross-node data transfer. Additionally, experimental support has been added for Ray on Apple Silicon (M1 Macs), enabling optimal performance on these chips. The release includes various other features and enhancements, which can be learned about by visiting the release notes.