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With Aart de Geus (CEO, Synopsys), Carole Wu (Research Scientist, Facebook), Cheng Wang (SVP Engg, Flex Logix), Greg Diamos (Engg Lead, Landing AI), Norman Jouppi (Enggr, Google), Gajinder Panesar (Fellow, Siemens).
Monday, September 13, 2021 at 08:00 AM   Not Known   Online
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AI Hardware is evolving - & so are we! As machine learning models continue to grow in size & complexity, & more & more models enter production in enterprises worldwide, the way we approach accelerating these workloads is changing.

At the front end, data-centricity is taking precedence over model-centricity. At the back end, AI practitioners want systems that are performant & efficient, but also sustainable, explainable & accountable.

From massive research models like GPT-3, to day-to-day models deployed by enterprises around the world, we are lifting the hood on how to make AI fast, efficient & affordable.

AI Hardware Summit is evolving, we continue our mission to help those who are accelerating AI workloads in the cloud & at the edge, & this year is all about systems level AI acceleration.
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