Neural networks are now being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. Optimized for vision, audio, radar/lidar, and fused-sensor applications, the Cadence®Tensilica® DNA processor family offers a much-needed breakthrough in terms of energy efficiency and performance to meet the requirements of on-device artificial intelligence (AI).

Our newly announced DNA 100 processor is well suited for on-device neural network inference applications spanning autonomous vehicles (AVs), ADAS, surveillance, robotics, drones, augmented reality (AR) /virtual reality (VR), smartphones, smart home and IoT. The DNA 100 processor delivers up to 4.7X better performance and up to 2.3X more performance per watt compared to other solutions with similar multiplier-accumulator (MAC) array sizes.