The Hardware That Makes AI Possible

Advances in modern AI are possible because of specialized hardware, not just software breakthroughs. While general-purpose Central Processing Units (CPUs) manage system operations, Graphics Processing Units (GPUs) enabled the deep learning revolution with their ability to perform massive parallel computations for training. More specialized hardware includes Google's Tensor Processing Units (TPUs), which are optimized for large-scale machine learning, and Neural Processing Units (NPUs), which enable power-efficient AI inference on personal devices. Modern AI systems combine these components, selecting the appropriate hardware for specific tasks like training or on-device execution.