ADI

Paul Golding | VP of Edge AI

Physical AI and edge supercomputing are both concerned with the timely delivery and processing of physical measurements on GPU to build the future of autonomous decision-making across industries and domains—from scientific instruments to industrial robotics. During this talk, we will hear from leading sensor manufacturers who are building real-time AI solutions with NVIDIA and the Holoscan platform; they'll share their best practices and their vision, and highlight transformational work toward a future of AI-powered instruments. - The world's leading sensor manufacturers are building on NVIDIA and Holoscan for real-time AI solutions. - Physical AI starts where data is generated—the edge of the edge; a tight integration of data acquisition systems, sensors, networking, and GPUs is essential for autonomous systems and experiments. - Edge computing can span from embedded computing (small size, weight, and power) to large-scale data center deployments—as long as there's a tight coupling between compute and the instrument. - Edge supercomputing is an emerging domain where high-speed sensors need data center-like GPU resources and networking for real-time processing.