We look at Google’s TPUs – tensor processing units – and ask what makes them different to CPUs, GPUs and DPUs, as well as how you can take advantage of them in AI processing.

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. When Google unveiled its Tensor Processing Unit (TPU) during this year's Google I/O ...

A Tensor Processing Unit (TPU) is a specialized chip designed to accelerate AI and machine learning (ML) tasks. Unlike traditional computer processors (CPUs) or graphics processing units (GPUs), TPUs ...

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OpenAI said it has no active plans to use Google's in-house chip to power its products, two days after Reuters and other news ...

Back in 2015, Google began putting its own custom machine learning accelerator in its data centers, claiming significant improvements over off the shelf gear. Since then, details on the Tensor ...

Back in 2015, Google began putting its own custom machine learning accelerator in its data centers, claiming significant improvements over off the shelf gear. Since then, details on the Tensor ...