A Tensor Processing Unit (TPU) is an application-specific integrated circuit developed by Google to accelerate machine-learning workloads, particularly the tensor operations of neural networks. In data centers TPUs provide high throughput and energy efficiency for training and inference and are deployed in interconnected pods. They are a class of AI accelerator optimized for matrix math.
Category: IT & Compute Infrastructure · Subcategory: AI & HPC Infrastructure · Part of the AIDC Technical Terminology reference.