Ceva, Inc. Unveils Neupro - A Family of Ai Processors for Deep Learning At the Edge
January 05, 2018 at 07:00 am EST
Share
Consumer Electronics Show- CEVA, Inc. unveiled NeuPro, a powerful and specialized Artificial Intelligence (AI) processor family for deep learning inference at the edge. The NeuPro family of processors is designed for smart and connected edge device vendors looking for a streamlined way to quickly take advantage of the significant possibilities that deep neural network technologies offer. NeuPro builds on CEVA's position and experience in deep neural networks for computer vision applications. Dozens of customers are already deploying the CEVA-XM4 and CEVA-XM6 vision platforms along with the CDNN neural network software framework in consumer, surveillance and ADAS products. This new family of dedicated AI processors offers aconsiderable step-up in performance, ranging from 2 Tera Ops Per Second (TOPS) for the entry-level processor to 12.5 TOPS for the most advanced configuration. The NeuPro processor line extends the use of AI beyond machine vision to new edge-based applications including natural language processing, real-time translation, authentication, work flow management,and many other learning-based applications that make devices smarter and reduce human involvement. The NeuPro architecture is composed of a combination of hardware-based and software-based engines coupled for a complete, scalable and expandable AI solution. Optimizations for power, performance, and area (PPA) are achieved using a precise mix of hardware, software and configurable performance options for each application tier. The NeuPro family comprises four AI processors offering different levels of parallel processing: NP500 is the smallestprocessor, including 512 MAC units and targeting IoT, wearables and cameras; NP1000 includes 1024 MAC units and targets mid-range smartphones, ADAS, industrial applications and AR/VR headsets; NP2000 includes 2048 MAC units and targets high-end smartphones, surveillance, robots and drones; NP4000 includes 4096 MAC units for high-performance edge processing inenterprise surveillance and autonomous driving. Each processor consists of the NeuPro engine and the NeuPro VPU. The NeuPro engine includes the hardwired implementation of neural network layers among which are convolutional, fully connected, pooling, and activation. The NeuPro VPU is a cost-efficient programmable vector DSP, which handles the CDNN software and provides software-based support for new advances in AI workloads. NeuPro supports both 8-bit and 16-bit neural networks, with an optimized decision made in real time in order to deliver the best tradeoff between precision and performance. The MAC units achieve better than 90% utilization when running, ensuring highly optimized neural network performance. The overall processor design reduces DDR bandwidth substantially, improving power consumption levels for any AI application. The NeuPro family, coupled with CDNN, CEVA's award winning neural network software framework, provides the ultimate deep learning solution for developers to easily and efficiently generate and port their proprietary neural networks to the processor. CDNN supports the full gamut of layer types and network topologies, enabling fastest time-to-market. In conjunction with the NeuPro processor line, CEVA will also offer the NeuPro hardware engine as a Convolutional Neural Network (CNN) accelerator. When combined with the CEVA-XM4 or CEVA-XM6 vision platforms, this provides a flexible option for customers seeking a single unified platform for imaging, computer vision and neural network workloads.
Ceva, Inc. is a licensor of silicon and software intellectual property (IP) that enables smart edge devices to connect, sense and infer data. The Company powers the connectivity, sensing, and inference in advanced smart edge products across consumer Internet of Things (IoT), mobile, automotive, infrastructure, industrial, and personal computing. Its application software IP is licensed primarily to original equipment manufacturers (OEMs) who embed it in their System on Chip (SoC) designs to enhance the user experience, and OEMs also license its hardware IP products and solutions for their SoC designs to create power-efficient, intelligent, secure, and connected devices. From Bluetooth connectivity, Wi-Fi, ultra-wide band (UWB) and fifth generation (5G) platform IP for communications, to scalable Edge AI neural processing unit (NPU) IPs, sensor fusion processors and embedded application software that make devices smarter, it has the portfolio of IP to connect, sense and infer data.