Michael Stewart
Márton Fehér
Justin Butler
Jonathan Ross
Jonathan Ross is Groq’s technical founder and CEO. Prior to founding Groq he began what became Google’s TPU effort as a 20% project where he designed and implemented the core elements of the original chip. Jonathan next joined Google X’s Rapid Eval Team, the initial stage of the famed “Moonshots factory”, where he devised and incubated new Bets (Units) for Google’s parent company, Alphabet. Jonathan studied mathematics and computer science at NYU’s Courant Institute, and in his second year was the first Computer Science undergraduate to complete courses restricted to PhD students.
John Lee
Jimmy Pike
Jimmy D. Pike is a Senior Vice President and Senior Fellow at Dell EMC and serves as a senior system architect and technologist in the office of Dell’s Server and Infrastructure System’s CTO. In addition to his duties as an “at large” technologist, he focuses on high-performance computing, machine learning, and edge computing.
A longtime industry figure with more than 50 patents, Jimmy has served in various executive and technology roles:
• An analyst at the analyst firm of Moor Insights & Strategy
• Chief Architect of Dell’s Enterprise Solutions group and HPC lead technologist
• Chief Architect and Technologist for Dell’s Data Center group.
Jimmy has as also served in various other leadership roles at Intel, AT&T, NCR, and Harris Corporation.
Gregor Stewart
Eric Chung
David Kanter
David co-founded and is the Head of MLPerf for MLCommons, the world leader in building benchmarks for AI. MLCommons is an open engineering consortium with a mission to make AI better for everyone through benchmarks and data. The foundation for MLCommons began with the MLPerf benchmarks in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 125+ members, global technology providers, academics, and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire AI industry through benchmarks and metrics, public datasets, and measurements for AI Safety. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.
