Why ChatGPT Needs GPUs | AI Hardware Explained

Why are GPUs used for Artificial Intelligence and Deep Learning? In this video, we visually explain why **GPUs (Graphics Processing Units)** are essential for training and running modern AI models. AI systems, especially Deep Learning and Large Language Models, require massive amounts of mathematical computations. GPUs are designed to handle thousands of calculations in parallel, making them significantly faster than traditional CPUs for AI workloads. Through simple visual animations, this video demonstrates how GPUs accelerate neural network training and why they are the backbone of modern AI infrastructure. In this video you will learn: • What a GPU is • Difference between CPU and GPU • Why AI workloads require parallel computation • How GPUs accelerate neural network training • Why Deep Learning models depend on GPUs Modern AI systems such as ChatGPT and advanced neural networks rely heavily on GPU computing to process large datasets and train massive models efficiently. This channel explains Artificial Intelligence concepts using clear visual explanations to make complex ideas simple and intuitive. Subscribe for more videos on: Artificial Intelligence, Machine Learning, Deep Learning, GPUs, and modern AI systems. #ArtificialIntelligence #MachineLearning #DeepLearning #GPU #AIExplained #genai #agenticai