Neo NPUs form the backbone of Cadence's AI IP portfolio, designed with versatility in mind for diverse application environments. These neural processing units are capable of executing a broad range of AI and machine learning workloads, performing optimally across sectors such as IoT, wearables, automotive, and AR/VR systems. Neo NPUs are engineered to support up to 80 TOPS in a single core configuration, and when scaled, they can manage up to hundreds of TOPS, accommodating high-demand AI processing needs effectively.
The adaptability of Neo NPUs is evident in their scalability, which allows for increased processing power by integrating multiple cores. This flexibility helps in transitioning from traditional AI frameworks to more complex generative networks, including CNN, RNN, and Transformer models. Their architecture ensures that top-tier performance is achieved while maintaining efficiency in energy usage, a critical requirement for devices in power-sensitive environments.
Their integration with the NeuroWeave SDK provides a standardized platform for deployment, aiding developers in efficiently managing and optimizing neural network operations. This unified approach ensures a seamless translation of AI models across different hardware implementations, fostering innovation and accelerating product development cycles.
