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2019 GTC San Jose

S9983 - Edge to Core: A Meta Study of Data Complexity in AI (Presented by DDN)

Session Speakers
Session Description

We'll discuss the challenges uncovered in AI and deep learning workloads, discuss the most efficient approaches to handling data, and examine use cases in autonomous vehicles, retail, health care, finance, and other markets. Our talk will cover the complete requirements of the data life cycle including initial acquisition, processing, inference, long-term storage, and driving data back into the field to sustain ever-growing processes of improvement. As the data landscape evolves with emerging requirements, the relationship between compute and data is undergoing a fundamental transition. We will provide examples of data life cycles in production triggering diverse architectures from turnkey reference systems with DGX and DDN A3I to tailor-made solutions.


Additional Information
HPC and AI
HPC and AI, Supercomputing
Defense, Healthcare & Life Sciences, Telecommunications
All technical
Sponsored Talk
50 minutes
Session Schedule