Graphics processing technology has evolved to deliver unique benefits in the world of computing. The latest graphics processing units (GPUs) unlock new possibilities in gaming, content creation, machine learning, and more. A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles. Modern GPUs are very efficient at manipulating computer graphics and image processing. Their highly parallel structure makes them more efficient than general-purpose central processing units (CPUs) for algorithms that process large blocks of data in parallel. In a personal computer, a GPU can be present on a video card or embedded on the motherboard. In certain CPUs, they are embedded on the CPU die.
A GPU (Graphics Processor Unit) is a familiar term – it’s the component that enables video and sophisticated graphics, such as video games, to run on the PC. GPU Cloud Computing is a fast, stable, and elastic computing service based on GPU ideal for various scenarios such as deep learning training/inference, graphics processing, and scientific computing. GPU Cloud Computing can be managed just like a standard Cloud Virtual Machine instance with speed and ease. GPU is used together with a CPU to accelerate deep learning, analytics, and engineering applications for platforms ranging from artificial intelligence to cars, drones, robots, search engines, interactive speech, video recommendations and much more.
Intel Iris Pro 5200
The Intel Iris Pro Graphics 5200 (GT3 + eDRAM), also called the HD Graphics 5200, is a processor graphics card that is included in some of the Haswell processors of 2013 (e.g. Core i7-4750HQ). ... This makes the Iris Pro even faster than AMDs Radeon HD 8650G and the fastest integrated GPU of 2013.