This talk will cover the recently announced state-of-the-art GPU visualization and compute infrastructure in Microsoft's Azure cloud including how the GPUs are exposed using new capabilities in Hyper-V as part of Microsoft Server 2016, more importantly, the session will cover how you can leverage deep learning libraries such as CNTK on the N-Series GPUs. CNTK is an open source computational network toolkit that is designed for single GPU and Multi-GPU scenarios and is a highly flexible toolkit. This session is aimed at folks who would like to learn more about how to utilize and leverage Azure for deep learning, simulation, HPC, visualizing Open GL and DirectX applications.
This talk provides an overview of how Microsoft uses its open-source, distributed deep learning toolkit, CNTK, to make our products and services better. We'll show how you can use CNTK to train deep learning models of almost any topology and scale out to many GPUs. We'll review some of the challenges arising in scaling out deep learning workloads and CNTK way of solving them.