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

Sign up here to access the webinar

  By registering, you agree to the processing of your personal data by Silicon Mechanics as described in the Privacy Statement.  

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
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.