Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network machine learning. [2]

Learn more. A TPU is an application-specific integrated circuit (ASIC) designed by Google for neural networks. TPUs possess specialized features, such as the matrix multiply unit (MXU) and...

Jun 10, 2025 · As artificial intelligence (AI) keeps advancing, the need for faster and more efficient processors is growing fast. That’s where TPUs, or Tensor Processing Units, come in. Built by Google …

Jul 11, 2025 · What is a Tensor Processing Unit? With machine learning gaining its relevance and importance everyday, the conventional microprocessors have proven to be unable to effectively …

Jul 16, 2024 · What is a tensor processing unit (TPU)? A tensor processing unit (TPU) is an application-specific integrated circuit (ASIC) specifically designed to accelerate high-volume mathematical and …

Mar 1, 2021 · TPUs are hardware accelerators specialized in deep learning tasks. In this code lab, you will see how to use them with Keras and Tensorflow 2. Cloud TPUs are available in a base …

Nov 20, 2025 · Tensor processing units (TPUs) are specially designed AI accelerators. They are a type of application-specific integrated circuit (ASIC), or chips designed for specific tasks. For TPUs, that …

Jan 10, 2026 · A TPU is an AI accelerator that executes large-scale tensor operations—primarily matrix multiplication and convolution—using a hardware matrix engine and a dataflow model optimized for …

ABSTRACT Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC—called a Tensor …

Mar 23, 2024 · This guide demonstrates how to perform basic training on Tensor Processing Units (TPUs) and TPU Pods, a collection of TPU devices connected by dedicated high-speed network …