What Is a GPU Server?
A graphics processing unit (GPU) server, short for server, is a server outfitted with one or more GPUs. Connecting computers to these servers facilitates significant acceleration in data processing speeds. GPU servers enhance the processing capabilities of connected computers, making them essential for handling large-scale and complex tasks more efficiently than standalone computers.
Recently, there has been an increase in the exchange of large and complex datasets, such as in AI-based deep learning, 3D data processing, and VR development. This has led to growing demand for substantial computational processing, a need met by GPU servers.
Considering the high cost of GPU servers, rental options are available for those who find purchasing them financially challenging.
Uses of GPU Servers
GPU servers are used in environments requiring the parallel computation of vast amounts of data, thereby enhancing the processing speeds of computers. They are crucial in developing commercial AI through deep learning, which involves processing extensive data to predict outcomes and requires significant computational power provided by GPU servers.
Additionally, GPU servers are instrumental in scenarios where the capabilities of CPUs and GPUs alone are insufficient. They are used in various industries, including petroleum and gas for simulations, fluid dynamics calculations, advanced analytical systems, 3DCG production, and weather simulations. These servers excel in situations that demand precise and rapid calculations. They also support telecommuting and other remote work practices within companies, and are often used alongside supercomputers.
GPU servers have diverse applications and are nearly indispensable in developing VR, AR, and virtual spaces. They process instructions from controllers, handle image processing, and enable smooth movement of characters and elements on the screen. As the IT industry continues to evolve, GPU servers remain a vital component of technological progress.
Principle of GPU Servers
A GPU, initially designed for video processing, is a semiconductor chip commonly integrated into modern computers alongside CPUs. Unlike CPUs, which perform sequential calculations, GPUs are capable of parallel processing, achieving speeds several hundred times faster than standalone CPUs. This capability led to the emergence of general-purpose computing on graphics processing units (GPGPUs), allowing GPUs to handle a wide range of calculations beyond image processing.
GPU servers can be connected to individual computers to perform parallel computational tasks, thus significantly enhancing overall processing speed. The main program runs on the CPU, while the GPU server handles parallel execution of simpler tasks.
How to Choose a GPU Server
When selecting a GPU server, it is essential to consider the required capacity and the nature of tasks to be performed. The size of the server should also be factored in, as they can be relatively large. GPU servers are often quite expensive, with prices ranging from hundreds of thousands to millions, depending on capacity and the number of units to be installed. Therefore, budget considerations are necessary.
For those interested in using a GPU server, cloud services offering manageable initial costs and easy contracts are a convenient option. These services provide immediate usability without the need for installation, adding to their appeal for testing and trial use.