Search results
Results from the WOW.Com Content Network
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 ...
TPU or tpu may refer to: Science and technology. Tensor Processing Unit, a custom ASIC built by Google, tailored for their TensorFlow platform;
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
network A collection of computers and other devices connected by communications channels, e.g. by Ethernet or wireless networking. network interface controller. Also LAN card or network card. [6] network on a chip (NOC) A computer network on a single semiconductor chip, connecting processing elements, fixed-function hardware, or even memories ...
Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.
A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit), and oriented toward using or running models rather than training them. Google announced they had been running TPUs inside their data centers for more than a year, and had found them to deliver an order of magnitude better ...
Intel FWIXP422BB. A network processor is an integrated circuit which has a feature set specifically targeted at the networking application domain.. Network processors are typically software programmable devices and would have generic characteristics similar to general purpose central processing units that are commonly used in many different types of equipment and products.
The CPU is responsible for processing input from the user and passing information to the GPU. The GPU does not have access to a computer's main memory so instead, graphical assets have to be loaded into VRAM which is the GPU's memory. The CPU is responsible for instructing the GPU while the GPU uses the information to render an image on to an ...