Graphics Processing Units (GPUs)

Graphics Processing Units (GPUs) are specialized hardware designed to quickly process and render images for computer graphics applications. However, in recent years, GPUs have become an integral part of the AI landscape due to their ability to handle massive amounts of data and perform complex computations in parallel. GPUs excel in running deep learning models, which require extensive matrix operations and optimization algorithms. They also offer significant performance improvements over traditional Central Processing Units (CPUs), which are designed for sequential processing.

GPUs in AI are used for a wide range of applications, including image and speech recognition, natural language processing, and autonomous vehicles. The ability of GPUs to handle large amounts of data and perform computations in parallel has made it possible to train deep learning models much faster than before. This has led to significant advances in AI, including the development of self-driving cars, virtual assistants, and medical diagnosis systems. GPUs are now an essential part of the AI infrastructure, providing the necessary computational power for many AI applications.