Harnessing the Aerospace & Defense Data

Explosion with Well Designed AI Infrastructure

Learn how aerospace and defense data works with AI infrastructure

Watch this 30-minute on demand webinar and learn how new technologies can simplify deployment, management, and scaling of aerospace/defense AI infrastructure to ensure long-term ROI. This session will also include a demonstration of workloads running on GPU accelerated computing and storage software.

You will learn about:

--The demands AI places on hardware

-- How to accelerate training and improve performance of inference

-- How to remove I/O bottlenecks with flexible integrated storage

Watch this on demand webinar

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Matt Ritter
Director of Engineering
Silicon Mechanics

Matt Ritter joined Silicon Mechanics in 2013 and is the director of engineering. He started as a lead product manager, eventually moving to director of product management and then director of operations before being promoted to his current role. Prior to Silicon Mechanics, Matt served as a partner operations lead at Google. He has an Accredited WekaFS Sales and Marketing Professional certification, as well as AWS Business Professional and AWS Technical Professional certifications. He holds a master’s degree in business administration from Golden Gate University in California and a B.A. from American Military University in West Virginia.



Gary Keen
Director of Product Engineering
Silicon Mechanics

Gary Keen has over twenty years of engineering experience and serves as the director of product engineering at Silicon Mechanics. He was a senior systems administrator at medical equipment provider Physio Control before joining Silicon Mechanics in 2014. In addition, he was an IS systems engineer at Medtronic Emergency Response Systems. Keen has expertise in Linux, networking, storage, and high-performance computing. He studied TCIP/IP protocol analysis at Bellevue College and local area networking at Edmonds College.