David is the Founder and Head of MLPerf at MLCommons, where he leads efforts to standardize machine learning benchmarks and create tools for data-centric AI. Previously, as Executive Director of MLCommons, he collaborated with industry leaders to drive innovation in ML benchmarking and datasets. With over two decades as President of Real World Insights, David has advised top tech companies like Intel, Nvidia, and Microsoft on IP strategies and performance analysis. A University of Chicago graduate with honors in Mathematics and Economics, he specializes in AI benchmarking, semiconductor economics, and scalable tech solutions
As the AI industry shifts from centralized cloud models to edge-native intelligence, a new era is emerging—one where powerful AI models can be trained, fine-tuned, and deployed directly on personal devices. This panel, featuring industry pioneers Hina Dixit (CEO, Decompute), David Kanter (Founder, MLCommons), and Aishwarya Srinivasan (AI Leader, Fireworks AI), explores the technological breakthroughs, infrastructure evolution, and ethical imperatives of decentralizing AI. Together, they’ll discuss how on-device AI is unlocking new frontiers for privacy, autonomy, and performance. This session will uncover how decentralized AI empowers individuals and developers alike, how open standards and benchmarks are shaping performance at the edge, and why the next generation of AI will be personalized, private, and truly yours.