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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 ...
Google Tensor is a series of ARM64-based system-on-chip (SoC) processors designed by Google for its Pixel devices. It was originally conceptualized in 2016, following the introduction of the first Pixel smartphone , though actual developmental work did not enter full swing until 2020.
TPU or tpu may refer to: Science and technology. Tensor Processing Unit, a custom ASIC built by Google, tailored for their TensorFlow platform;
In May 2016, Google announced its Tensor processing unit (TPU), an application-specific integrated circuit (ASIC, a hardware chip) built specifically for machine learning and tailored for 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 ...
Accelerators are used in cloud computing servers, including tensor processing units (TPU) in Google Cloud Platform [10] and Trainium and Inferentia chips in Amazon Web Services. [11] A number of vendor-specific terms exist for devices in this category, and it is an emerging technology without a dominant design.
The report said Google's deliberations follow a standoff between the company and Broadcom over the price of the TPU chips. Google has also been working to replace Broadcom with Marvell Technology ...
In the period 2015–2017 Google invented the Tensor Processing Unit (TPU). [39] TPUs are dedicated, fixed function hardware units that specialize in the matrix multiplications needed for tensor products. Specifically, they implement an array of 65,536 multiply units that can perform a 256x256 matrix sum-product in just one global instruction ...
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