Mesosphere technical lead Joerg Schad looks at the complete deep learning pipeline. In these slides, Joerg addresses commonly asked questions, such as: 1. How can we easily deploy distributed deep learning frameworks on any public or private infrastructure? 2. How can we manage different deep learning frameworks on a single cluster, especially considering heterogeneous resources such as GPUs? 3. What is the best UI for a data scientist to work with the cluster? 4. How can we store & serve models at scale? 5. How can we update models that are currently in use without causing downtime for the service using them? 6. How can we monitor the entire pipeline and track performance of the deployed models?