Generative AI workloads are breaking every aspect of the data center. As the capabilities of AI increase, so does its demand. The conventional path of performance improvement in legacy processors has stagnated, providing diminishing returns. This raises concerns on whether we may ever fully realize the potential of AI. In this talk we will share how combining our software-first methodology and novel computer arithmetic leads to breakthrough performance gains in general purpose accelerated computing, pushing developers to the limit of physics.
Jay Dawani
Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.