TPUs, or Tensor Processing Units, are Google's custom ASICs designed for high throughput and energy efficiency, particularly in AI applications. They utilize a unique architecture featuring systolic arrays and a co-design with the XLA compiler to achieve scalability and performance, contrasting significantly with traditional GPUs. The article explores the TPU's design philosophy, internal architecture, and their role in powering Google's AI services.