Understand the Basics – CPUs are great for general tasks, GPUs are built for parallel processing.
Project Size Matters – Small AI projects can run on CPUs, but large models work better on GPUs.
Speed & Performance – GPUs train AI models much faster than CPUs due to more cores.
Cost Factor – CPUs are cheaper, GPUs can be costly but save time for big projects.
Energy Use – GPUs consume more power, CPUs are more energy-efficient for light tasks.
Scalability – GPUs are better when you need to scale AI workloads across big datasets.
Best Choice – Choose CPU for simple AI or testing, GPU for deep learning and heavy training.