AI Processors
AI processors are specialized chips designed to accelerate artificial intelligence workloads, as opposed to general-purpose CPUs. They can take various forms such as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), and dedicated AI accelerators like Google's Tensor Processing Unit (TPU) or NVIDIA's Deep Learning Accelerator (DLA). These processors are optimized to handle matrix multiplication, convolution operations, and other mathematical computations that are critical for machine learning algorithms. By offloading these tasks from the CPU, AI processors enable faster, more power-efficient execution of AI workloads, improving performance in applications such as natural language processing, computer vision, and autonomous vehicles.