This document discusses distributed deep learning on the MapR Converged Data Platform. It provides an overview of MapR's enterprise big data journey and capabilities for distributed deep learning. It describes using containers and Kubernetes for deep learning model development and deployment, with NVIDIA GPUs for computation. It presents architectures and patterns for separating or collocating MapR and GPU clusters. Finally, it previews demos of parameter server/workers and real-time face detection using streams.