The Xilinx® Deep Learning Processor Unit (DPU) is a programmable engine dedicated for convolutional neural network. Convolutional Neural Networks (CNNs) CNN 's, also known as ConvNets, consist of multiple layers and are mainly used for image processing and object detection. Tensor Processing Unit - Devopedia Xilinx deep learning processing unit (DPU) is a configurable IP core specially de- signed for convolutional neural network computation in Vitis-AI, which contains a set of highly optimized instructions and supports most convolutional neural networks. The deep-learning processor unit (DPU) is a programmable engine optimized for deep neural networks. In the last few years, artificial intelligence (AI), has mostly been in the research realm. PDF Introduction to Deep Learning - Stanford University And just like image processing, video processing uses established techniques like computer vision, object recognition, machine learning, and deep learning to enhance this . Furthermore, Nvidia has stated that it intends to launch Bluefield 3 in 2022 and Bluefield 4 in 2023. deep learning processing unit xilinx BriefCam analytics are enabled on the Axis deep learning cameras AXIS P3255 and AXIS Q1615 Mk III, which feature a dual chipset of ARTPEC-7 and a deep-learning processing unit (DLPU), as well as the ARTPEC 8 camera series. Importantly, for our purposes, this mammoth MPSoC also supports Xilinx's deep learning processing unit (DPU), which the company created for machine learning developers. Graphics Processing Unit - an overview | ScienceDirect Topics A high-performance network interface capable of parsing, processing and efficiently transferring data at line rate . Natural language processing is the ability of a computer program to understand human language as it is spoken. Due to the excellent energy efficiency and real-time performance, FPGA has gradually become an important computing platform for CNN inference. Compatibility The Larod API supports products with the following chips: ARTPEC-8; ARTPEC-7; Ambarella S5L; For products with a DLPU (Deep Learning Processing Unit), inference runs on the DLPU otherwise it runs on the CPU.