Designed from the ground up to address significant machine learning (ML) inference deployment challenges facing system on chip (SoC) developers, Quadrics General Purpose Neural Processing Unit (GPNPU) has a simple yet powerful architecture with demonstrated improved matrix-computation performance over the traditional approach. Its crucial differentiation is its ability to execute diverse workloads with great flexibility all in a single processor.