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Data Centers at Scale in the Age of Accelerated Computing

Tuesday, April 15, 2025 
Walter E. Washington Convention Center

The rise of AI is reshaping the data center landscape, creating a demand for faster, more energy-efficient facilities capable of supporting 100,000 GPUs or more. In this keynote, Marc Hamilton, Vice President of Solutions Architecture and Engineering, explores how NVIDIA is tackling this challenge with innovative approaches, including digital twin technology. This powerful tool enables comprehensive modeling of data center infrastructure, from cooling systems to resource allocation, helping operators optimize designs, reduce energy consumption, and bring data centers online in weeks rather than years.

Marc will delve into how NVIDIA’s digital twin simulations empower data centers to enhance operational efficiency through holistic energy management. Attendees will learn how scalable design and precise planning have enabled them to set up high-performance centers in as little as 19 days and how these innovations support the faster, more efficient deployment needed to meet AI-driven market demands.

He will reveal advancements in rack-level supercomputing designed to optimize energy use and processing power across next-gen facilities. Attend this keynote to discover how NVIDIA’s strategic focus on accelerated computing and holistic energy solutions drives the data center industry toward unprecedented efficiency, speed, and sustainability.

About Marc Hamilton

Vice President of Solutions Architecture and Engineering, NVIDIA

Marc Hamilton leads the worldwide solutions architecture and engineering team at NVIDIA. He is responsible for working with 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 joining NVIDIA in 2013, Hamilton worked at HP in the hyperscale business unit and at Sun Microsystems in the HPC and data center groups. He also worked at TRW, developing HPC applications for the U.S. aerospace and defense industry. 

Hamilton has published several technical articles and a book on software development.

Hamilton holds a Bachelor of Science in math and computer science from UCLA, and a Master of Science in electrical engineering from the University of Southern California.