GPU

A GPU (Graphics Processing Unit) is a specialized processor optimized for the parallel processing of large data sets. Originally developed for image and graphics processing in computers, game consoles, and mobile devices, it is now also used for complex computations in fields such as Artificial Intelligence (AI), Machine Learning, video editing, and cryptocurrency mining.

In contrast to a CPU (Central Processing Unit), which is designed for sequential calculations, a GPU can perform thousands of calculations simultaneously. This makes it particularly efficient for applications that require high computational power and fast data processing. Modern GPUs feature multiple cores that are specifically optimized for graphic computations, deep learning, and simulations.

An example of GPU usage is the training of AI models. Companies like NVIDIA and AMD develop powerful GPUs that are used for neural networks and data-intensive analyses. A powerful GPU allows for training complex models in a few hours, while a CPU would take days or even weeks for the same task.

A major advantage of GPUs is their scalability and performance. Especially in data centers, cloud computing, and scientific simulations, they play a central role as they can efficiently process large data sets. Through advancements in parallel processing and hardware architecture, GPUs have become an essential component of modern high-performance computers and AI developments.