The emergence of Artificial Intelligence is the “next big thing” in the overall economy and presents a unique opportunity for disruptive semiconductor development. End applications could range from ADAS, to 3D facial recognition, to voice and image processing, or to intelligent search. The ASICs for machine learning applications whether targeted for training or inference will have their own unique characteristics but will nevertheless present quite common and extreme verification challenges that we will present in this session. Supporting designs as big as 15 billion gates, Mentor’s Veloce Strato has unique virtualization capabilities that enable highly accurate pre-silicon execution of machine learning benchmarking applications like MLPerf. The Veloce Power App enables analysis of peak and average power. We will cover how Veloce Strato and its supporting solutions are the best tool to help address the verification challenges of ASICs targeted for AI.