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U Server Product List and Ranking from 10 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Aug 26, 2026~Sep 22, 2026
This ranking is based on the number of page views on our site.

U Server Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Aug 26, 2026~Sep 22, 2026
This ranking is based on the number of page views on our site.

  1. Wistech Ltd. Tokyo//Machine elements and parts
  2. ADLINKジャパン 東京本社 Tokyo//Industrial Electrical Equipment
  3. トゥモロー・ネット Tokyo//IT/Telecommunications
  4. 4 富士ソフト インダストリービジネス事業部 Kanagawa//software
  5. 5 Advanet Inc HQ Okayama//Industrial Electrical Equipment

U Server Product ranking

Last Updated: Aggregation Period:Aug 26, 2026~Sep 22, 2026
This ranking is based on the number of page views on our site.

  1. AMD Equipped 1U AI GPU Server [AXE-5100R7/R9] ADLINKジャパン 東京本社
  2. The world's first GPU server 'NVIDIA DGX A100' GDEPソリューションズ
  3. Xeon-equipped 4U Short AI GPU Server AXE-7420GWA ADLINKジャパン 東京本社
  4. GPU platform "NVIDIA HGX B300" トゥモロー・ネット
  5. 4 NVIDIA GPU Select Sale トゥモロー・ネット

U Server Product List

91~102 item / All 102 items

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[BTO6U GPU Server for AI Development / Ryzen / Liquid Cooling]

Customizable 6U rack GPU server for accelerating AI learning.

In AI development, the learning speed of models is a crucial factor that directly impacts development efficiency. Particularly when dealing with large datasets and complex models, high-speed computing power and efficient cooling are required. Reducing training time accelerates the trial-and-error cycle and enables the development of more accurate models. Our product, the "ZEUS BTO 6U Rack GPU Server/AMD Ryzen/AM5/CPU Liquid Cooling (Water Cooling) AIO," is designed to meet these AI development needs. 【Use Cases】 - Training deep learning models - Processing large datasets - Simulations using GPU computing 【Benefits of Implementation】 - Shortened AI model training time - Accelerated development cycles - Capability to handle more complex models and large-scale data

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[BTO6U Rack GPU Server for HPC/Ryzen/Liquid Cooling]

In 6U size, nVidia PRO Blackwell and Geforce can also be customized!

In the HPC field and for simulation purposes, high-performance servers capable of executing complex computational processes quickly and stably are required. Particularly in simulations dealing with large-scale datasets, high computational power and cooling performance are essential for reducing analysis time and improving accuracy. Our ZEUS BTO 6U rack GPU server is designed to meet these demands. 【Use Cases】 - Large-scale scientific and technical calculations - Engineering simulations - Training AI/machine learning models 【Benefits of Implementation】 - Reduction in computation processing time - Improvement in analysis accuracy - Acceleration of research and development cycles

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BTO6U Rack GPU Server for Bioinformatics

Liquid-cooled GPU server compatible with AMD Ryzen/AM5 that accelerates genome analysis.

In the field of bioinformatics, particularly in genome analysis, there is a demand for processing vast amounts of data and performing rapid analyses. To efficiently conduct complex calculations and simulations, high-performance GPUs and CPUs, as well as a stable cooling system, are essential. Reducing analysis time directly correlates with the progress of research and new discoveries, making servers with high processing power and reliability crucial. Our product, the 'ZEUS BTO 6U Rack GPU Server/AMD Ryzen/AM5/CPU Liquid Cooling (Water Cooling) AIO,' has been developed to meet these needs. 【Use Cases】 - Analysis of large-scale genomic data - Comparison and alignment of gene sequences - Protein structure prediction simulations - Bioinformatics research using machine learning 【Benefits of Implementation】 - Improved research efficiency through reduced analysis time - Accelerated processing of complex calculations - Reduced risk of research interruptions due to stable operation - Optimal environment construction through customization

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BTO6U Rack GPU Server for Financial Engineering / Ryzen / Liquid Cooling

6U rack server equipped with high-performance GPUs to accelerate risk calculations.

In the field of financial engineering, high computational power is required for the calculation and simulation of complex risk models. In particular, to process large amounts of data quickly and obtain highly accurate analytical results, high-performance GPUs and robust systems that support them are essential. Insufficient computational power can lead to delays in analysis and decreased accuracy, potentially hindering rapid decision-making. Our ZEUS BTO 6U rack GPU server, equipped with the AMD Ryzen AM5 platform and liquid-cooled CPU cooler, supports the efficiency of risk calculations in financial engineering with customizable high-performance GPUs. 【Use Cases】 - Pricing calculations for complex financial derivatives - Risk assessment through Monte Carlo simulations - Execution of portfolio optimization algorithms - Modeling of market risk and credit risk 【Benefits of Implementation】 - Support for rapid decision-making through reduced risk calculation time - Enhanced capability to execute larger and more sophisticated models - Improved analytical accuracy leading to more precise risk management - Customization to meet specific computational needs

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[BTO5U Rack GPU Server for HPC/Core Ultra/Liquid Cooling]

In size 5U, nVidia PRO Blackwell and Geforce can also be customized!

In the fields of HPC and scientific computing, high-performance computing resources capable of executing large-scale data processing and complex simulations quickly and stably are required. Particularly in processes with enormous computational loads, the cooling performance of CPUs and GPUs is directly linked to the stable operation and performance maintenance of the system. Insufficient cooling can lead to performance degradation and unexpected system downtime. Our BTO 5U rack GPU server is equipped with a CPU liquid cooling (water cooling) AIO, achieving high cooling performance to address these challenges. 【Usage Scenarios】 - Large-scale simulations - Training AI/machine learning models - Scientific and technical computing - Data analysis 【Benefits of Implementation】 - Reduction in computation processing time - Improvement in system stability - Maintenance of performance under high loads

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BTO5U Rack GPU Server for the Automotive Industry

Customizable GPU servers that support autonomous driving development.

In the automotive industry, the development of autonomous driving requires the processing of vast amounts of data and advanced simulations. In particular, high computational power GPUs are essential for real-time image recognition and training deep learning models. To shorten development cycles and improve accuracy, reliable hardware and flexible customization are crucial. Our BTO5U rack GPU server is designed to meet the needs of autonomous driving development. 【Use Cases】 - Algorithm development for autonomous driving systems - Training and validation of AI models - Real-time analysis of sensor data - Building simulation environments 【Benefits of Implementation】 - Shortened development cycles - Improved accuracy of AI models - Increased efficiency in complex computational processes - Cost optimization through flexible configurations

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BTO5U Rack GPU Server for Energy and Resource Exploration

Customizable GPU servers that accelerate data analysis for resource exploration.

In the energy industry, particularly in the field of resource exploration, there is a demand for the ability to efficiently process and analyze vast amounts of data. Quickly performing complex calculations on geological data and exploration data directly contributes to improved exploration accuracy and reduced time. Traditional systems may face challenges such as limitations in processing power and compatibility with specific analysis software. Our BTO5U rack GPU server is equipped with high-performance GPUs and can be customized to meet customer needs. This enhances the efficiency of data analysis in resource exploration and supports more accurate analysis. 【Use Cases】 - Processing large-scale geological datasets - Simulation and modeling of exploration data - Estimation of resource reserves using AI - Real-time data analysis and visualization 【Benefits of Implementation】 - Improved exploration efficiency through reduced data analysis time - Increased probability of resource discovery through high-precision analysis - Optimization for specific analysis workflows through customization - Continuous use due to future expandability

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BTO5U Rack GPU Server for Retail Industry / Core Ultra / Liquid Cooling

Size 5U, customizable with nVidia PRO Blackwell and Geforce!

In the retail industry, it is essential to accurately forecast future demand from vast amounts of sales data and optimize inventory management and sales strategies. In particular, systems with advanced data analysis capabilities are indispensable for responding to seasonal fluctuations and changes in trends. Delays in analysis or lack of accuracy increase the risks of missed opportunities and excess inventory. Our ZEUS BTO 5U rack GPU server supports rapid and high-precision demand forecasting analysis with its powerful GPU computing capabilities and the latest CPUs. 【Use Cases】 - Analysis of POS data, purchase history from e-commerce sites, and social media trends - Analysis of seasonality, events, and promotional effects - Improvement of inventory optimization and reorder point management accuracy - Demand forecasting by sales channel 【Benefits of Implementation】 - Acceleration and improvement of data analysis accuracy - Reduction of inventory risks and prevention of missed opportunities - Support for planning and executing sales strategies - Enhancement of profitability

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[BTO5U Rack GPU Server for AI Development / Ryzen / Liquid Cooling]

Liquid-cooled Ryzen AM5 compatible 5U rack GPU server for accelerating AI learning.

In AI development, shortening the training time of machine learning models using large-scale datasets is essential for accelerating the development cycle and fostering innovation. In particular, training complex neural networks requires high computational power from GPUs and cooling performance to ensure stable operation. Delays in training time can directly lead to project delays and increased costs. Our BTO5U rack GPU server is equipped with a high-performance AMD Ryzen AM5 CPU and a liquid cooling system, supporting the acceleration of AI training. 【Use Cases】 - Training deep learning models - Image recognition and natural language processing with large-scale datasets - Simulations and scientific computing 【Benefits of Implementation】 - Accelerated development cycle through reduced training time - Stable operation that maximizes GPU performance - Customization to meet diverse AI development needs

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[BTO5U Rack GPU Server for HPC / Ryzen / Liquid Cooling]

Perfect for simulations! Liquid-cooled Ryzen AM5 compatible 5U rack GPU server.

In the HPC field and simulation applications, high-performance computing resources are required to execute complex calculations quickly and stably. In particular, during long computations and large-scale data processing, the cooling performance of CPUs and GPUs is essential for maintaining system stability and performance. Insufficient cooling increases the risk of performance degradation due to thermal throttling and unexpected system downtime. Our BTO5U rack GPU server is equipped with a liquid-cooled CPU cooler, providing stable cooling performance even under heavy loads, thereby contributing to the efficiency and reliability of simulation tasks. 【Use Cases】 - Scientific and technical computing - Structural analysis - Fluid analysis - Training machine learning models - Rendering processes 【Benefits of Implementation】 - Reduction in computation time - Improvement in system stability - Acquisition of high-precision simulation results - Acceleration of research and development cycles

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[BTO5U GPU Server for CAD/CAM / Ryzen / Liquid Cooling]

Liquid-cooled Ryzen AM5 compatible 5U rack GPU server that accelerates design rendering.

In the CAD/CAM field, particularly in design rendering, there is a demand for fast and high-precision processing of complex 3D models. Delays in processing speed during the verification and modification of design data, as well as the final rendering work, can impact the progress of a project. When handling high-resolution models and complex textures, the performance of the GPU and stable cooling are essential. Our BTO5U rack GPU server utilizes a high-performance AMD Ryzen AM5 platform and a liquid-cooled CPU cooler, ensuring stable performance even during long hours of high-load work. This helps shorten design rendering times and contributes to increased productivity. 【Usage Scenarios】 - Design and editing of large-scale 3D models - Generation of photorealistic rendering images - Rapid creation of data for design reviews and presentations - Reduction of rendering time through parallel processing with multiple GPUs 【Benefits of Implementation】 - Increased productivity through reduced design rendering times - Processing power that smoothly handles high-resolution and complex models - Stable operation and extended lifespan due to the liquid cooling system - Optimal environment construction through customizable configurations

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[BTO5UGPU Server for Medical Imaging Diagnosis / Ryzen / Liquid Cooling]

High-performance Ryzen AM5 compatible 5U rack GPU server supporting medical image diagnosis.

In the medical imaging industry, high-precision and rapid data processing is required. Particularly, to analyze complex medical images and make accurate diagnoses, a GPU with high computational power and cooling performance to ensure stable operation are essential. Delays in processing speed or system instability can increase the risk of diagnostic delays and misdiagnoses. Our BTO5U rack GPU server delivers stable performance even under heavy loads, thanks to its liquid-cooled CPU cooler and dual power supply collaboration, meeting the advanced demands of medical imaging diagnostics. 【Use Cases】 - Real-time analysis of high-resolution medical images - Development of AI-assisted imaging diagnostic systems - Processing of large-scale medical datasets 【Benefits of Implementation】 - Improved and expedited diagnostic accuracy - Increased operational efficiency through reduced analysis time - Assurance of reliability through stable system operation

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