This technical session will explore the objectives for building the DGX-2, along with the inspired, innovative technology and architecture used to eliminate traditional bottlenecks and to enable multi-GPU training at unprecedented scale. This talk led by the DGX product team will present on the following topics:
-the innovation and architecture found in NVSwitch, which enables the AI network fabric for the DGX-2 platform
-the design challenges and hardware architecture employed to enable 16 V100's to operate as one
-feature by feature walkthrough highlighting the most important innovations that accelerate deep learning workflow and training performance
-use cases that were previously unaddressable on a GPU platform, now solved with DGX-2
NVIDIA DGX is making its way into mission-critical use cases in every industry, while democratizing AI with purpose-built solutions that make it easier, faster, and more cost-effective to develop, deploy, and manage deep learning environments in business and scientific research. Learn (1) how organizations just like yours are scaling their deep learning practice, and gaining competitive advantage with DGX systems, (2) how you can apply DGX systems to various use cases in your organization, and accelerate your time-to-insights, and (3) a roadmap of what's next for AI supercomputing solutions built on DGX.
Customers are looking to extend the benefits beyond big data with the power of the deep learning and accelerate the insights they can get from data. The NVIDIA® DGX-1™ is the platform of AI Pioneers, which integrates power of deep learning and accelerated analytics together in a single hardware and software system. This session will cover the learnings and successes of real world customer examples for deep learning and accelerated analytics.