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Technology Forum with NVIDIA

November 12, 2020 @ 9:00 am - 10:00 am

NVIDIA Ampere GPU Architecture – A Giant Leap Forward for AI and HPC
Marc Hamilton, NVIDIA


Around the world, a new breed of AI Supercomputer is being deployed outside of traditional supercomputer centers. Two of the three fastest new supercomputers on the Top500 this year were installed at industrial companies, not supercomputer centers. The power of AI is increasingly being applied alongside traditional scientific simulation by scientists, researchers, and engineers working to solve the world’s most important scientific, industrial, and big data challenges with AI and HPC. Meanwhile businesses and even entire industries seek to harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. The NVIDIA Ampere GPU architecture, designed for the age of AI and HPC computing, delivers the next giant leap by providing unmatched acceleration at every scale, enabling these innovators to do their life’s work. Grab a cup of coffee to sit in on an overview of the Ampere architecture, its record breaking performance, and capabilities to democratize AI and accelerated HPC adoption at any scale.

Marc Hamilton
Vice President, Solutions Architecture and Engineering, NVIDIA
Marc Hamilton is a vice president, solutions architecture and engineering, at NVIDIA, where he leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end-to-end solutions for artificial intelligence and deep learning, professional visualization, and high performance computing. Prior to NVIDIA, Marc worked at HP in the Hyperscale Business Unit and at Sun Microsystems in the HPC and data center groups. Marc also worked at TRW developing HPC applications for the U.S. aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems.” Marc holds a B.S. in math and computer science from the University of California, Los Angeles, an M.S. in electrical engineering from the University of Southern California, and is a graduate of the UCLA Executive Management program.

Registration is required. This is a virtual event that will be hosted by Zoom. Connection details will be send the day prior to event.


November 12, 2020
9:00 am - 10:00 am


San Diego Supercomputer Center (SDSC)


Webinar (Pacific Time)