Why Machine Learning Loves GPUs: Moore’s Law, Dennard Scaling, and the Rise of CUDA & HIP

Moore’s Law and Dennard Scaling drove explosive growth in computing power. But in the early 2000s, things hit a wall when transistors became so tiny. Multi-Core Processors let chip work on multiple tasks at once. This led to the rise of GPUs, which are built to handle thousands of tasks in parallel.