The opportunity of Edge AI is clear - it is bringing real-time, personalized, scalable, and secure AI to resource constrained devices, unlocking the next wave of intelligent devices. Optimizing AI performance whilst operating economically at the edge remains the elusive holy grail. For four years, the Edge AI Summit has aided enterprise adopters, OEMs, AI software, and hardware providers in their pursuit of deploying AI at the edge, by helping them form partnerships that will improve the performance of embedded hardware, optimize models, and compress workloads to enable high-performing and low-footprint AI to exist at the edge. The 5th Annual Edge AI Summit (September 13, 2022) unites the technologists from around the world tasked with designing and developing real-world use cases that bring real-time and secure AI to low-power applications from the sensor-edge to device-edge, and to areas that have limited connectivity to the cloud.

AI Hardware is evolving – and so are we! As machine learning models continue to grow in size and complexity, and more and 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 and efficient, but also sustainable, explainable and 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 and affordable. AI Hardware Summit is evolving, we continue our mission to help those who are accelerating AI workloads in the cloud and at the edge, and this year is all about systems level AI acceleration.