GPU (Graphics Processing Unit), also known as a visual processing unit, is a specialized electronic circuit designed to rapidly process visual and graphics information. GPUs are most commonly used in computing devices such as computers, video game consoles, and mobile devices.

GPUs are composed of hundreds of cores designed to process data in parallel. Due to its architecture, GPUs are ideal for handling many calculations simultaneously which allows for faster processing of large amounts of data. For this reason, GPUs are frequently used in applications such as video encoding, artificial intelligence (AI) and machine learning, and computer graphics.

The development of GPUs began in the 1990s as a response to the need for more advanced visual and graphics capabilities. This was due to the increasing demand for high quality graphics in video games. With the development of 3D graphics technology in the early 2000s, GPUs quickly expanded to other high-end applications. Currently, GPUs are widely used in virtualization, augmented reality, and neural networks.

GPUs operate differently than traditional CPUs. While CPUs are used to interpret instructions line-by-line, GPUs uses threads which enable them to process multiple tasks simultaneously. This is known as SIMD (Single Instruction, Multiple Data) architecture.

GPUs are also power efficient and more affordable than traditional central processors, making them an attractive solution for developers and users alike.

In recent years, GPUs have become increasingly popular for cryptocurrency miners due to their ability to quickly solve complex mathematical equations. As cryptocurrencies continue to grow in popularity, specialized GPUs have been developed to meet the needs of miners.

GPUs continue to reshape computing in a variety of fields and are expected to be a vital component of future technologies.

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