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Jay Kim, Executive Vice President of DEEPX, presents the “DEEPX’s New M1 NPU Delivers Flexibility, Accuracy, Efficiency and Performance” tutorial at the May 2023 Embedded Vision Summit.

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, Kim presents DEEPX’s new M1 NPU. He explains how its unique architecture provides exceptional flexibility, enabling it to handle new DNN models and layer types with ease. Kim also shows how his company’s unique hardware/software co-design approach enables the M1 to deliver high performance with extreme cost- and energy-efficiency. And, finally, he shows how—despite its extreme efficiency—the new architecture achieves outstanding accuracy, comparable to that of GPUs.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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