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 ...

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 ...

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, ...

Google announced the sixth generation of its Tensor Processing Unit (TPU) for data centers, codenamed Trillium, at its I/O 2024 Developer Conference today. While a specific launch date wasn’t revealed ...

For the past five years, Google Pixel phones have been powered by an in-house system-on-a-chip (SoC) designed by Google. The company's chips have come a long way since then, culminating in the Tensor ...