AI’s workhorse: What is a GPU? How does it work? | Explained

Graphics Processing Units (GPUs) have emerged as crucial components in modern computing, particularly in the realm of artificial intelligence (AI) and machine learning. Unlike traditional Central Processing Units (CPUs), which are designed for sequential processing tasks, GPUs excel at handling multiple calculations simultaneously. This parallel processing capability allows GPUs to perform complex computations much faster, making them indispensable for tasks such as deep learning, image processing, and rendering graphics. The architecture of GPUs includes thousands of smaller cores that can operate concurrently, enabling them to tackle vast data sets efficiently. As AI technologies continue to evolve, the demand for powerful GPUs has surged, leading to innovations in their design and functionality. Understanding how GPUs work and their significant role in AI development is essential for grasping the future of technology and its applications across various industries, from gaming to healthcare. As companies invest in AI-driven solutions, the role of GPUs will only become more prominent in driving advancements and enhancing computational efficiency.