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A neural processing unit (NPU), also known as AI accelerator or deep learning processor, is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
The RK1808 is Rockchip's first chip with Neural Processing Unit (NPU) for artificial intelligence applications. [10] The RK1808 specifications include: Dual-core ARM Cortex-A35 CPU; Neural Processing Unit (NPU) with up to 3.0 TOPs supporting INT8/INT16/FP16 hybrid operation; 22 nm FD-SOI process; VPU supporting 1080p video codec
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Intel CEO Pat Gelsinger says the company isn't nervous about competition from Nvidia and Qualcomm in the PC chip space. ... Meteor Lake also includes a NPU, or neural processing unit, to power AI ...
Qualcomm announced Hexagon Vector Extensions (HVX). HVX is designed to allow significant compute workloads for advanced imaging and computer vision to be processed on the DSP instead of the CPU. [19] In March 2015 Qualcomm announced their Snapdragon Neural Processing Engine SDK which allow AI acceleration using the CPU, GPU and Hexagon DSP. [20]
Nvidia Jetson is a series of embedded computing boards from Nvidia. The Jetson TK1, TX1 and TX2 models all carry a Tegra processor (or SoC) from Nvidia that integrates an ARM architecture central processing unit (CPU). Jetson is a low-power system and is designed for accelerating machine learning applications.
Network processing unit, hardware for networking; Neural processing unit, hardware for artificial intelligence; Numeric processing unit or floating-point unit, ...
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...