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Presented By 
Keith Ober, Systems Engineer at Pure Storage

Date: 12/11/2018
Time: Networking starts 7:30 AM, Presentation from 8:00-9:00 AM

Praxis Engineering – 135 National Business Parkway, 3rd Floor, Annapolis Junction, MD 20701 TOB is a free event and you do not have to be an AFCEA member to attend.

AIRI AI Ready Infrastructure
Abstract: Recent advances in AI and deep learning hold tremendous promise for a new wave of innovation for the Federal Government, turning their data into intelligent applications and products. Researchers have fueled these advancements using high-performance GPUs and leveraging massive growth in available datasets. While enterprises seek to get started on their AI journey, they are stuck with legacy technologies like CPUs and spinning disk, and the complexities of building an AI-ready infrastructure with them. Designing, configuring, and maintaining infrastructure to satisfy the challenges of large-scale deep learning requires a significant investment of time and resources to avoid unforeseen delays, bottlenecks, or downtime. Engineers at NVIDIA and Pure Storage collaborated to address many of the complexities that come with scale-out infrastructure for AI workloads.

Speaker Bio
Keith Ober began his career in the US Army. Followed more than a decade at the National Cancer Institute (NCI). Built and maintained HPC equipment supporting the Division of Cancer Epidemiology and Genetics. Followed by a number of years working with a mixture of small and large technology companies. Currently a system engineer for FlashBlade supporting the entire federal government.

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