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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.
Google's head of hardware Rick Osterloh explains how the company's first custom designed chip, Tensor, is all about AI.
The Pixel 7 and Pixel 7 Pro were previewed by Google on May 11, 2022, during the 2022 Google I/O keynote. [4] During the keynote, the company confirmed that the phones would feature the second-generation Google Tensor system-on-chip (SoC), [5] which had been in development by October 2021. [6]
The Google Brain project began in 2011 as a part-time research collaboration between Google fellow Jeff Dean and Google Researcher Greg Corrado. [3] Google Brain started as a Google X project and became so successful that it was graduated back to Google: Astro Teller has said that Google Brain paid for the entire cost of Google X.
The project was led by Google engineer Sebastian Thrun, director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley , which won the 2005 DARPA Grand Challenge and a US$2 million prize from the United States Department of Defense .[24]
Neoverse V2 (code named Demeter) is derived from the ARM Cortex-X3 and implements the ARMv9.0-A instruction set. It was officially announced by Arm on September 14, 2022. [9] [10] NVIDIA Grace, [11] AWS Graviton4 [12] and Google Axion [13] are based on the Neoverse V2.
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 ...
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.