Graphical Processing Unit, or GPU, has become one of the most important types of computing technology, both for personal and business computing. Designed for parallel processing, GPUs are used in a variety of applications, including graphics and video rendering.
Although they are renowned for their gaming capabilities, GPUs are becoming more popular for use in creative production and Artificial intelligence (AI).
GPUs were originally designed to speed up rendering of 3D graphics. Over time, they become more flexible and programmable, increasing their capabilities. This allows graphic programmers to create more interesting visual effects and realistic scenes with advanced lighting and shadowing techniques. Other developers are also starting to harness the power of GPUs to dramatically accelerate additional workloads in high-performance computing (HPC), deep learning, and more.
What is the Graphical Processing Unit (GPU) Used For?
- GPU for Games
Video games are becoming more computationally intensive, with hyperrealistic graphics and vast and complex in-game worlds. With advanced display technologies, such as 4K displays and high refresh rates, along with the advent of virtual reality gaming, the demands on graphics processing are growing rapidly. The GPU is capable of rendering graphics in 2D and 3D. With better graphics performance, games can be played at a higher resolution, at a faster frame rate, or both.
- GPU for Video Editing and Content Creation
For years, video editors, graphic designers, and other creative professionals have struggled with long rendering times that hog computing resources and impede creative flow. Now, the parallel processing offered by GPUs makes it faster and easier to render videos and graphics in high definition formats.
In terms of performance, Intel provides a no-compromise solution for CPU and GPU. With Intel® Iris® Xe graphics, gamers and content creators can now get even more performance and new capabilities. Optimized for 11th Gen Intel® Core™ processors and perfect for ultra-thin and light laptops, Intel® Iris® Xe graphics are integrated into the processor. Select laptops also include Intel® Iris® Xe MAX, Intel’s first discrete graphics product in 20 years.
- GPU for Machine Learning
Some of the most interesting applications for GPU technology involve AI and machine learning. Because GPUs incorporate incredible computing capabilities, they can provide exceptional acceleration in workloads that take advantage of GPU parallel properties, such as image recognition. Many deep learning technologies today rely on the GPU working in conjunction with the CPU.