For a growing range of applications, deploying AI in the real world means running various models at the edge. Fortunately, powerful edge processors are increasingly capable of handling demanding AI workloads. But performance alone is not sufficient. To meet the needs of real-world applications, edge AI processors must also deliver flexibility, accuracy and efficiency. In this talk, we will present DEEPX’s new M1 NPU. We’ll explain how its unique architecture provides exceptional flexibility, enabling it to handle new DNN models and layer types with ease. We’ll also show how our unique hardware/software co-design approach enables the M1 to deliver high performance with extreme cost- and energy-efficiency. And, finally, we’ll show how—despite its extreme efficiency—the new architecture achieves outstanding accuracy, comparable to that of GPUs.