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  2. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_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 ...

  3. Data processing unit - Wikipedia

    en.wikipedia.org/wiki/Data_processing_unit

    Unlike traditional processors, a DPU typically resides on a network interface card, allowing data to be processed at the network’s line rate before it reaches the CPU. This approach offloads critical but lower-level system duties—such as security, load balancing, and data routing—from the central processor, thus freeing CPUs and GPUs to ...

  4. TPU - Wikipedia

    en.wikipedia.org/wiki/TPU

    TPU or tpu may refer to: Science and technology. Tensor Processing Unit, a custom ASIC built by Google, tailored for their TensorFlow platform;

  5. Domain-specific architecture - Wikipedia

    en.wikipedia.org/wiki/Domain-specific_architecture

    Google's TPU was developed in 2015 to accelerate DNN inference since the company projected that the use of voice search would require to double the computational resources allocated at the time for neural network inference. [13] The TPU was designed to be a co-processor communicating via a PCIe bus, to

  6. Simultaneous and heterogeneous multithreading - Wikipedia

    en.wikipedia.org/wiki/Simultaneous_and...

    The hardware was Nvidia's Jetson Nano module containing a quad-core ARM Cortex-A57 processor (CPU) and 128 Maxwell architecture GPU cores. A Google Edge TPU was connected via its M.2 Key E slot. The processors communicated via an onboard PCI Express (PCIe) interface. Shared data was hosted in a 4 GB 64-bit LPDDR4. The Edge TPU adds an 8 MB ...

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    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 ...

  8. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    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).

  9. Glossary of computer hardware terms - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_computer...

    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 ...