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An AI accelerator, deep learning processor or neural processing unit (NPU) 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
A floating-point unit (FPU), numeric processing unit (NPU), [1] colloquially math coprocessor, is a part of a computer system specially designed to carry out operations on floating-point numbers. [2] Typical operations are addition , subtraction , multiplication , division , and square root .
AMD Accelerated Processing Unit (APU), formerly known as Fusion, is a series of 64-bit microprocessors from Advanced Micro Devices (AMD), combining a general-purpose AMD64 central processing unit and 3D integrated graphics processing unit (IGPU) on a single die.
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]
Being a DSP however, it is much more dependent on the CPU to do useful work in a game engine, and would not be capable of implementing a full physics API, so it cannot be classed as a PPU. Also VU0 is capable of providing additional vertex processing power, though this is more a property of the pathways in the system rather than the unit itself.
Die shot of the RX 5500 XT's RDNA GPU. The architecture features a new processor design, although the first details released at AMD's Computex keynote hints at aspects from the previous Graphics Core Next (GCN) architecture being present for backwards compatibility purposes, which is especially important for its use (in the form of RDNA 2) in the major ninth generation game consoles (the Xbox ...
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