Yair Siegel, Senior Director for Wireless and Emerging Markets at Ceva, presents the “NPU IP Hardware Shaped Through Software and Use-case Analysis” tutorial at the May 2025 Embedded Vision Summit.
True innovation in tiny machine learning (tinyML) emerges from a synergy between software ingenuity, real-world application insights and leading-edge processor IP. In this presentation, Siegel explores the process of integrating these elements to shape the design of Ceva’s latest NPU IP—the Ceva-NeuPro-Nano. Through real-world use cases, he examines how software architecture and detailed analysis of use cases were pivotal in guiding the NPU architecture design process, yielding a versatile and efficient single-core solution capable of handling control, digital signal processing and neural network inference tasks.
Software is crucial in unlocking the potential of hardware and adapting to diverse application demands, and Siegel shows how Ceva’s software innovations, harnessing the capabilities of leading neural network inferencing frameworks, ensure that Ceva-NeuPro-Nano is highly effective in practical scenarios. He concludes by reviewing the exciting hardware and software extensibility features of NeuPro-Nano, which push the boundaries of customizability.
See here for a PDF of the slides.
