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 ...

Google reached a settlement on Wednesday in a patent infringement lawsuit over the TPU chips powering its artificial intelligence (AI) technology, just hours before closing arguments were set to begin ...

Google is packing ample amounts of static random access memory into a dedicated chip for running artificial intelligence models, following Nvidia's plans.

Major artificial intelligence (AI) data center operators have stated they have no immediate plans to adopt Google’s ...

Nvidia may move over, but it won't roll over in the face of a formidable new rival.

Major artificial intelligence (AI) data center operators have stated they have no immediate plans to adopt Google’s ...

Google published details about its AI supercomputer on Wednesday, saying it is faster and more efficient than competing Nvidia systems. While Nvidia dominates the market for AI model training and ...

Integrated with LibTPU, the new monitoring library provides detailed telemetry, performance metrics, and debugging tools to help enterprises optimize AI workloads on Google Cloud TPUs. Google has ...

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, ...