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This section provides an overview for gpu servers as well as their applications and principles. Also, please take a look at the list of 7 gpu server manufacturers and their company rankings. Here are the top-ranked gpu server companies as of July, 2025: 1.Advantech Co., Ltd., 2.Mantra Ventures Inc., 3.Microway.
Table of Contents
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.
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.
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.
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.
*Including some distributors, etc.
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Advantech Co., Ltd., established in 1981 in Neihu District, Taipei, is a pioneering manufacturer and designer of a range of products, solutions, and services. The company boasts an extensive product portfolio that includes system integration, customer-centric design services, cutting-edge embedded systems, automation products, and global logistics support. Its aim is to usher in an era of an intelligent planet through its automation and embedded computing products and solutions. These diverse products and services empower smarter ways of working and living to enhance the quality of life and productivity across various industries.
Super Micro Computer, Inc. was established in 1993 and is a manufacturer and supplier of IT infrastructure based in San Jose, California, United States. The company produces rackmount servers, data center solution engineering, and riser card matrix. The products are used in markets such as cloud computing, data center, and edge computing. The company also offers myriad of solutions including AI infrastructure, data analytics applications, and IoT edge solutions. The management system of the company is certified to ISO 9001:2015 and ISO 13485:2016 standards.
Ranking as of July 2025
Derivation Method| Rank | Company | Click Share |
|---|---|---|
| 1 | Advantech Co., Ltd. |
48.9%
|
| 2 | Mantra Ventures Inc. |
12.8%
|
| 3 | Microway |
11.2%
|
| 4 | Super Micro Computer, Inc. |
8.5%
|
| 5 | SAMSUNG SDS |
8.0%
|
| 6 | Mieux Technologies Pvt Ltd. |
5.3%
|
| 7 | Beijing Guangtian Runze Technology Co., Ltd. |
5.3%
|
Derivation Method
The ranking is calculated based on the click share within the gpu server page as of July 2025. Click share is defined as the total number of clicks for all companies during the period divided by the number of clicks for each company.Number of Employees
Newly Established Company
Company with a History
91 products found
91 products
Power Assist Co., Ltd.
200+ people viewing
Last viewed: 22 hours ago
This is a GPU machine equipped with QUADRO. Used for development computers, etc. A high-performance computer specialized for development purposes....
Power Assist Co., Ltd.
200+ people viewing
Last viewed: 22 hours ago
This is a GPU machine equipped with QUADRO. Used for development computers, etc. Adopts i7-13700E processor, provides excellent performance. Safet...
Mishu International Co., Ltd.
190+ people viewing
Last viewed: 53 minutes ago
■Multi-channel data acquisition device Data acquisition device with large capacity data and real-time analysis function This is a real-time analysi...
