A custom-built AI chip from Google. Introduced in 2016 and used in Google Cloud datacenters, the Tensor Processing Unit (TPU) is designed for matrix multiplication, which is the type of processing ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Rick Osterloh casually dropped his laptop onto the couch and leaned back, satisfied. It’s not a mic, but the effect is about the same. Google’s chief of hardware had just shown me a demo of the ...

A new RISC-V Tensor Unit, based on fully customizable 64-bit cores, claims to provide a huge performance boost for artificial intelligence (AI) applications compared to just running software on scalar ...

At Google I/O, the company shared their next generation AI processing chip, the Tensor Processing Unit (TPU) v4. Machine learning has become critically important in recent years, powering critical ...

Google is ready to open up its Cloud TPU platform to developers and researchers looking to test machine learning workloads -- and it's got a new, more powerful Cloud TPU design than the chips we've ...

Google introduced a third generation of the machine learning chips installed in its data centers and increasingly available over its cloud. The company said that the new tensor processing unit, which ...