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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 Ryzen 8040 series (codenamed "Hawk Point"), a refresh of the Ryzen 7040 series, features a higher-clocked XDNA NPU providing 16 TOPS of performance. [ 2 ] XDNA is also used in AMD's Alveo V70 datacenter AI inference processing card.
As early as 2006, researchers at Georgia Tech published a field programmable neural array. [15] This chip was the first in a line of increasingly complex arrays of floating gate transistors that allowed programmability of charge on the gates of MOSFETs to model the channel-ion characteristics of neurons in the brain and was one of the first cases of a silicon programmable array of neurons.
Intel on Thursday took the wraps off of its new Core Ultra processors for ultrathin laptops during its AI Everywhere event in New York.The chips, which are available in new laptops starting today ...
(Reuters) -Intel will invest more than $28 billion to construct two new chip factories in Ohio, the company said on Friday, in a latest step to build out its contract manufacturing business and ...
The Intel Corporation's January 2022 announcement of its plans to build a $20 billion computer chip manufacturing operation just south of Johnstown was clearly the top story of 2022 in Licking ...
Micro-architecture is the physical structure of a chip or chip component that makes it possible for a device to carry out the instructions. A given instruction set can be implemented by a variety of micro-architectures. The buses – data transfer channels – for Hexagon devices are 32 bits wide.
TPU v4 improved performance by more than 2x over TPU v3 chips. Pichai said "A single v4 pod contains 4,096 v4 chips, and each pod has 10x the interconnect bandwidth per chip at scale, compared to any other networking technology.” [31] An April 2023 paper by Google claims TPU v4 is 5-87% faster than an Nvidia A100 at machine learning ...