Modern System-on-Chip architectures deploy complex algorithms that mix traditional C++ based code with newly emerging and fast-changing machine learning (ML) inference code.  Only Quadric’s GPNPU architecture can deliver high ML inference performance and run complex C++ code on the same fully programmable processor without forcing the developer to artificially partition code between two or three different kinds of processors.  Quadric’s GPNPU is a licensable processor that scales from 1 TOP to 64 TOPs and seamlessly intermixes scalar, vector and matrix code.