A CPU provides instructions to a computer, GPU renders images, and TPU handles ML tasks. This post covers all these processors in detail.

Tensor Processing Unit (TPU) is an application-specific integrated circuit, to accelerate the AI calculations and algorithm. Google develops it specifically for neural network machine learning for the ...

The Tensor G2's AI acceleration enables features like processing photos and translating languages. With it, converting speech to text is 70% faster.

In the case of Google's design, the eight-core CPU is integrated with a 20-core Arm Mali-G78 MP20 GPU, a Tensor Processing Unit machine learning engine, an advanced image signal processor for ...

Google's head of hardware Rick Osterloh explains how the company's first custom designed chip, Tensor, is all about AI.

The initial reveal of the Pixel 6 and the Tensor chip was largely centered on its AI-focused TPU (Tensor processing unit) and how the custom hardware would help Google differentiate itself from ...

A faster CPU will help your device do almost everything faster and more efficiently. GPU: A graphics processing unit, sometimes called a graphics card in desktop PCs.

I've benchmarked the Pixel 10 and Pixel 10 Pro XL against their biggest rivals to see how Google's new Tensor G5 stacks up.

Google has announced the use of custom machine learning hardware - the tensor processing unit.

The Tensor CPU + GPU At the Pixel Launch Event, Google went into Tensor and explicitly touted the inclusion of two high-performance ARM Cortex-X1 cores at 2.8 GHz.