Cornami built an architecture where systolic arrays can be built of any size, any shape, on demand. These systolic arrays can be dynamically re-arranged to strange new geometries that are not squares. The company aims to supply its chips to numerous markets. The list primarily includes “edge computing. Here automobiles and consumer electronics have a special need for chips that have very responsive performance and are energy-efficient in how they run neural networks.
Co-fonder and CTO, Paul Masters, described a novel way to arrange the elements of a chip to do machine learning. Here the neural network is developed as well as inference, where the neural network performs on a constant basis to provide answers. The chip developed by Cornami decreases reminiscence and cache references, and thereby “dramatically reinforce energy, latency ,and function.