How GPUs power deep learning for product managers

Discover how GPUs power deep learning and why choosing the right chip dictates your cloud budget and feature speed as a product manager. Understanding the difference between a CPU and a GPU is critical for AI products. Think of a CPU as a math professor solving complex logic one problem at a time, while a GPU acts like a thousand clerks doing simple addition simultaneously. Deep learning breaks giant tasks into billions of tiny math problems, making parallel processing essential. When training an AI to recognize images, a GPU checks every pixel at once, reducing hours to seconds. However, GPUs are terrible at complex logic. As a product manager, you must match the hardware to the task to avoid runaway cloud costs and slow delivery. In this lesson: - The CPU versus GPU analogy for parallel math - How graphics chips process millions of pixels - Matching hardware to training versus logic tasks - Managing cloud bills by optimizing chip usage U2xAI Academy - AI skills for product managers.