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Why Machine Learning Loves Gpus: Moore’s Law, Dennard Scaling, And...
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.
Source: HackerNoon
