This document summarizes a presentation about H2O's machine learning platform and Deep Water distributed deep learning capabilities. The presentation introduces H2O, its open source in-memory machine learning platform, performance advantages, and interfaces for R, Python and Flow. Deep Water is introduced as H2O's integration with TensorFlow, MXNet and Caffe that provides a unified interface for distributed deep learning on GPUs. Examples are shown training convolutional neural networks on image datasets using Deep Water with different backends.