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 ...

Dan Fleisch briefly explains some vector and tensor concepts from A Student’s Guide to Vectors and Tensors. In the field of machine learning, tensors are used as representations for many applications, ...

Will Google’s TPU (Tensor Processing Unit) emerge as a rival to NVIDIA’s GPU (Graphics Processing Unit)? Last month, Google announced its new AI model ‘Gemini 3,’ stating, “We used our self-developed ...

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 ...