GPUs (Graphics Processing Units) were initially designed to accelerate computer graphics and the processing of pixels for images. These days, scientists have found that GPUs excel in data science and image analysis because of their parallel processing capability, which makes them suitable for accelerated computing tasks, including AI and ML.

The CPU (Central Processing Unit) is the brain of a computing unit, it’s designed for versatile operations and uses a series of instructions to perform tasks sequentially, only one instruction can be executed at a time.

A CPU is like a generalist, while a GPU is like a specialist, neither is dispensable. A GPU can execute and compute specific tasks, while the CPU acts as a taskmaster. When a GPU co-works with a CPU, they can accelerate the workflow and unleash the power of AI.