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Neural processing unit

A neural processing unit (NPU), also known as an AI accelerator or deep learning processor, is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and computer vision. NPU can be standalone, a part of a CPU or a part of a GPU.

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Neural processing unit

Nodes75
Edges74
Triples17
Avg. degree1.97
Density0.026667
Components1

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used ai npu operations use consumer gpu nvidia gpus neural processing hardware devices also npus accelerators using fp64 specialized computer

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
CNNinstance ofin real-time.Vision processing units are accelerators specialized for machine vision algorithms0.80text
AR headsetsinstance ofThey are used in devices that need to keep track of objects visually0.80text
drones.It is more recentlyinstance ofThey are used in devices that need to keep track of objects visually0.80text
INT4instance ofTo do this they are designed to support low-bitwidth operations using data types0.80text
INT8instance ofTo do this they are designed to support low-bitwidth operations using data types0.80text
FP8instance ofTo do this they are designed to support low-bitwidth operations using data types0.80text
and FP16instance ofTo do this they are designed to support low-bitwidth operations using data types0.80text
Nvidiainstance ofgraphics processing units designed by companies0.80text
AMD often include AI-specific hardware in the form of dedicated functional units for low-precision matrix-multiplication operationsinstance ofgraphics processing units designed by companies0.80text
TensorFlow with LiteRT Nextinstance ofProgrammingAn operating system or a higher-level library may provide application programming interfaces0.80text
ONNX are used to represent trained neural networks.Consumer CPU-integrated NPUs are accessible through vendor-specific APIsinstance ofFormats0.80text
CUDAinstance ofwhich can be built upon by a higher-level library.GPUs generally use existing GPGPU pipelines0.80text

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