Deep learning practitioners have traditionally been forced to spend protracted cycle time cobbling together platforms using consumer-grade components and unsupported open source software. Learn (1) the benefits of rapid experimentation and deep learning framework optimization as a precursor to scalable production training in the data center, (2) the technical challenges that must be overcome for extending deep learning to more practitioners across the enterprise, and (3) how many organizations can benefit from a powerful enterprise-grade solution that's pre-built, simple to manage, and readily accessible to every practitioner.