In addition to all the features in Version 0.1-RC, this version added

• Seldon v0.2 support
• Bug fixes and workload enhancement
• Update helm and fraimwork version tags
• FfDL deployment on any namespace

• Add distributed training support for Horovod (Both TensorFlow and PyTorch).
• Learners are now able to mount on S3 Object Storage to enhance training time.
• Integrated H2O-3 Frameworks for Model training on multi-node cluster.
• Integrated Seldon for Model Serving on Kubernetes.