When most people speak about server capacity, it's about the CPU (or processor) built. However, another server class can significantly improve performance while reducing power usage: a GPU server. Switching to use graphics cards for specific tasks demonstrates how GPU servers can support your company.
How GPU servers can benefit your business – What is a GPU server?
CPUs are designed for general-purpose computing, capable of handling anything thrown at them. They are suitable for running a versatile variety of programs, such as an email server, a web client, or a word processing program. However, if you concentrate on a particular mission, the custom hardware built to do the job would be faster than the CPU. An excellent example of this is Graphics Processing Units (GPUs), designed differently from CPUs. Designed specifically to produce realistic 3D graphics at speed, the GPUs are designed to process fast and accurate floating-point arithmetic numbers. Usually, GPUs have slower core speeds than CPUs, but they can run thousands of cores in parallel.
As a consequence, certain mathematical operations will run faster on a GPU than a CPU. As the name implies, GPU servers are servers filled with graphics cards designed to leverage this raw processing power. Using the unloading mechanism, the CPU may deliver unique tasks to the GPUs, increasing performance. Benchmarks using the TensorFlow machine learning system reveal that the Nvidia GeForce 1070 graphics card is around 16x faster than the Intel Core i7-7500U CPU. And as well as being faster, relative efficiency requires less energy to help minimize heat and power consumption.
How GPU servers can benefit your business – What can GPU servers do?
GPUs are optimized for high-speed graphics, but their architecture and high-speed mathematical processing make them well suited for specific high-performance computing tasks. Using a GPU means using programs that are written to download particular functions to the CPU. It's similar to how games run: on a PC, the graphics rendering process is moved to the GPU, while the CPU manages other aspects of the game. The secret to the performance of the GPU is the way it contains parallel computing. Thanks to thousands of cores, more critical tasks can be broken down into smaller, parallel-run computations. As a result, a GPU can perform a specific task a lot faster than a CPU. A lot of conversation about GPUs revolves around their use in supercomputers, which help forecast weather or are used for DNA sequencing. However, GPU servers have a proven track record for general business use and can be used to accelerate compatible database queries, big data modeling, and statistical analysis. GPUs are also powering the next wave of AI applications and have proven to be successful with cryptocurrency mining. As well as using applications designed to use GPUs, Nvidia also has its CUDA platform, which allows you to create your GPU-accelerated applications. GPU servers are not the solution to every business query. With the right software and applications, they can speed up the business and perform complex queries faster than a CPU, all while using fewer resources.