The Google Tensor G5 has been announced, and the company claims that it brings the biggest leap in performance yet, as far as Tensor chips are concerned. This is the first TSMC-made Tensor chip with a ...

A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...

Google is reportedly challenging Nvidia's AI chip dominance with its Tensor Processing Units (TPUs). Analysts predict a significant increase in TPU production and external sales, potentially ...

Scientists in China have developed a tensor processing unit (TPU) that uses carbon-based transistors instead of silicon – and they say it's extremely energy efficient. When you purchase through links ...

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 ...

Google recently announced at its I/O event its sixth tensor processing unit (TPU) called Trillium, and according to the company the new processor is designed for powerful next-generation AI models.