Design Considerations for Achieving Faster Time to Result in Drug Discovery

How to achieve faster time to result in drug discovery?

Watch this 26-minute on-demand webinar and take a deep dive into how design choices can be cost-efficient and still support and accelerate modern HPC drug discovery applications. The session will also include a demonstration of workloads running on optimized, GPU-accelerated computing and software defined storage (SDS).

You will learn about:

-- The best practices for AI in private or hybrid cloud

-- Enabling fast I/O for large, heterogeneous datasets

-- Scaling deployments for future expansion

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.

Curtis Elgin

Engineer

Silicon Mechanics

Curtis Elgin has been with Silicon Mechanics since 2014 and has over a decade of information technology expertise.

Elgin started in a support technician role at Silicon Mechanics and worked his way up to become a support engineer before becoming a solutions engineer. He also served as a plant technology analyst at J.R. Simplot Company, and worked at HPE before that.

Elgin holds a bachelor’s degree in information systems security from the ITT Technical Institute.