Seems like Pytorch lightening is the only first-class citizen in your offering. Is that true? Or are there value-added features for TensorFlow and other non-DL libraries such as scikit-learn?

Also, is there support for distributed training for large datasets that don't fit into single instance memory? or just distributed grid-search/hyper-parameter optimization?