Theme: Powering the Metaverse: Building Sustainable AI Factories and Digital Twins

On the surface, a business meeting in the metaverse seems a lot more sustainable than everyone driving to the office. But what about all the computing power needed to build the AI factories and digital twins that will power tomorrow’s metaverse? Sustainable computing needs to be addressed as a data center scale problem. It can’t be solved just at the chip or server level. In a modern server, the power used for data movement far outpaces the power used for computation for most problems. And while high-level AI frameworks make it increasingly easy to develop AI software, at lower levels of the stack, someone needs to care about writing energy-efficient software.

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Marc Hamilton

Vice President, Solutions Architecture and Engineering

Marc leads the worldwide Solutions Architecture and Engineering team at NVIDIA, responsible for working with customers and partners to deliver the world’s best end-to-end solutions for artificial intelligence & deep learning, professional visualization, and high-performance computing. Before NVIDIA, Marc worked at HP in the Hyperscale Business Unit and 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 several 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 UCLA, an M.S. in electrical engineering from USC, and is a graduate of the UCLA Executive Management program.