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Workstation Product List and Ranking from 67 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Jul 01, 2026~Jul 28, 2026
This ranking is based on the number of page views on our site.

Workstation Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Jul 01, 2026~Jul 28, 2026
This ranking is based on the number of page views on our site.

  1. アプライド Fukuoka//IT/Telecommunications
  2. オカムラ スマートロジテック事業本部 Tokyo//Other manufacturing
  3. Wistech Ltd. Tokyo//Machine elements and parts
  4. 4 Axuas Co., Ltd. Aichi//Consumer Electronics
  5. 5 テカンジャパン Kanagawa//Pharmaceuticals and Biotechnology

Workstation Product ranking

Last Updated: Aggregation Period:Jul 01, 2026~Jul 28, 2026
This ranking is based on the number of page views on our site.

  1. NVIDIA Alpamayo compatible HPC workstation アプライド
  2. Workstation "Workman Fort V" オカムラ スマートロジテック事業本部
  3. Workstation "Your Fit" オカムラ スマートロジテック事業本部
  4. 4 Recommended Workstation for the Computational Chemistry Software 'VASP' アプライド
  5. 4 HPC for AI models that accurately predict the structures and interactions of complex molecules. アプライド

Workstation Product List

211~220 item / All 220 items

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【For CAD/CAM】Xeon W/4677/PR

Professional GPU server that accelerates high-precision design.

In the field of CAD/CAM, high-precision design requires high processing power and stability for creating complex 3D models and conducting detailed analyses. In particular, rapid feedback during the design phase and handling large-scale data are essential for improving project efficiency and quality. Delays in design or interruptions in work due to insufficient processing power increase the risks of cost overruns and deadline delays. The Xeon W/4677/Professional is equipped with the Intel Xeon W processor family and nVidia RTX PRO 4000 Blackwell to address these challenges, providing powerful computational capabilities. 【Usage Scenarios】 - Complex 3D CAD modeling - Design and analysis of large assemblies - Running simulations - Rendering tasks 【Benefits of Implementation】 - Acceleration of design work - Achievement of high-precision modeling and analysis - Reduction of project deadlines - Promotion of focus on creative tasks

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  • server
  • Industrial PCs
  • Workstation

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【For Big Data】Xeon W/4677/PR

Powerful GPU servers that accelerate big data processing and analysis.

In big data processing and analysis, the ability to process vast amounts of data quickly and accurately is essential. In particular, high-performance hardware is indispensable for analyses using complex algorithms and real-time data processing. Insufficient processing power can lead to delays in analysis results and the loss of business opportunities. Our product, 'Xeon W/4677/Professional', is designed to address these challenges with a focus on AI, deep learning, simulation, and high-speed computing. 【Use Cases】 - Building machine learning models for large-scale datasets - Real-time anomaly detection and predictive analysis - Executing complex simulations 【Benefits of Implementation】 - Faster decision-making due to reduced analysis time - Achieving more advanced and precise data analysis - Discovering new business insights

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  • server
  • Industrial PCs
  • Workstation

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Neuro AI

The types of emotions, which were only 7 kinds, have been subdivided into 22 kinds! Real-time emotion prediction can be done through facial expressions and eye movements.

Roboken Inc. is engaged in AI development inspired by neuroscience. "NeuroAI" contributes to improving the quality of corporate HR strategies. By achieving real-time emotion prediction through facial expressions and eye movements, we have expanded the types of emotions from the traditional 7 to 22. Combining this with brainwave analysis allows for high-precision emotion analysis. 【Features】 ■ Real-time emotion prediction through facial expressions and eye movements ■ High-precision emotion analysis made possible by combining with brainwave analysis ■ Broad deployment prioritized based on market size, growth potential, and needs in areas beyond HR *For more details, please refer to the PDF document or feel free to contact us.

  • Other core systems
  • Other information systems
  • Workstation

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Medical Data Mining AI

Cutting-edge initiatives utilizing AI in the medical field! We will promote innovation in healthcare.

Roboken Co., Ltd. is engaged in AI development inspired by neuroscience. The "Medical Data Mining AI" promotes innovation in healthcare through advanced initiatives utilizing AI in the medical field. Using AI trained on medical administrative data from the past 10 years after inspections, we analyze medical administrative data before and after inspections and apply it to business systems. We provide this as a SaaS solution to hospitals and clinics. 【Features】 ■ By monitoring clinical activities and patient vital signs with AI, we contribute to the medical platform by predicting beneficial clinical actions and providing information to healthcare professionals. ■ Using AI trained on medical administrative data from the past 10 years after inspections, we analyze medical administrative data before and after inspections and apply it to business systems. ■ Provided as a SaaS solution to hospitals and clinics. *For more details, please refer to the PDF document or feel free to contact us.

  • Other core systems
  • Other information systems
  • Workstation

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Trend Prediction AI

Market forecasting system! It will bring a new breeze to the financial sector.

Roboken Co., Ltd. is engaged in AI development inspired by neuroscience. The "Trend Prediction AI" brings a new breeze to the financial sector. We have devised a new feature extraction method called "optimization of mathematical models." This enables objective and logical predictions that do not rely on experience or skills. By changing predictions from regression problems to classification problems, we achieve highly accurate trend predictions in very challenging markets. 【Features】 ■ Enables objective and logical predictions that do not depend on experience or skills ■ Predicts the principal components that drive future price fluctuations ■ Achieves highly accurate trend predictions in very challenging markets *For more details, please refer to the PDF document or feel free to contact us.

  • Other core systems
  • Other information systems
  • Workstation

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AI Image Processing Deep Learning Workstation RTX4090

(Released in December 2023) Pre-configured products for "Improving the learning speed of deep learning" and "Proof of concept for AI inspection and AI image processing."

Main Use Cases ■ Deep Learning ■ Machine Learning ■ Natural Language Processing ■ Image Recognition and Image Processing ■ Demand Forecasting ■ Speech Recognition and Emotion Recognition ■ Edge AI and AI Inspection ■ Proof of Concept (PoC) ■ Generative AI ■ Defective Product Detection and Anomaly Detection 【Features】 ■ Equipped with a single RTX 4090 that offers excellent cost performance ■ Compatible with NGC (NVIDIA GPU Cloud) and includes setup services ■ Mid-tower size that can be installed beside a desk ■ Replacement of older generation products and improvement in learning speed

  • Industrial PCs
  • Workstation

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[Research and Development PC Configuration Example] Machine for Multi-Body Dynamics

This is an example of a machine for structural analysis (motion analysis) using CAE software "RecurDyn."

In the design of machine systems, which are assemblies of components, it is necessary to evaluate not only the individual components but also the interactions between components that change during operation. This is a consultation case from a customer involved in research and development in the field of mechanical engineering. The software being used includes "RecurDyn" and "Matlab." The customer expressed a preference for high computational speed and optimization of the number of cores for SMP (symmetric multiprocessing). After investigating SMP parallel processing, it was determined that a maximum of 16 cores is optimal for "8-core and 16-core parallel processing (SMP)," and we proposed the "Core i9-12900K" with a configuration of 8 high-performance cores and 8 high-efficiency cores. Additionally, since the customer plans to conduct big data analysis using Matlab, we ensured the expandability of the storage. Our company can propose custom PCs tailored to your applications, budget, and software needs. We also accept inquiries regarding the introduction, customization, and operation of PCs, such as: - I would like the necessary software to be set up and delivered. - I want to upgrade parts with the budget for the next fiscal year. - I want to know the compatibility with software that will be used concurrently. Please feel free to contact us.

  • Other analyses
  • Workstation

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[Research and Development PC Configuration Example] Machine for Metal Complex Calculations

This is an example of a machine for calculating metal complexes, designed for use with the scientific computing software "Gaussian."

This is a machine designed for calculations of metal complexes using Gaussian. Based on the customer's consultation, it is generally assumed that 8 CPU cores will be used, and there may be cases where two calculations are performed simultaneously as needed, with a total of 20 threads being sufficient for the entire CPU. Our proposal is to configure a system with higher CPU performance within the budget. The CPU is equipped with the Ryzen 9 7950X, the top model of the Ryzen 7000 series, which has 16 cores (32 threads). There are lower models with 12 cores/24 threads, but the Ryzen 9 7950X has a higher maximum clock speed when the boost clock is activated, so we have selected it with an emphasis on CPU speed. The configuration in this case is based on the conditions provided by the customer. If you are considering different conditions than those listed, please feel free to consult with us.

  • Desktop PC
  • Workstation

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[Research and Development PC Configuration Example] Machine for Robot Control Simulation

A machine for scientific simulations that emphasizes the number of cores.

This is a case where we received an inquiry from a customer involved in research on robot control regarding a machine for scientific simulations. We proposed a configuration that emphasizes the number of cores with a 1 CPU specification and a memory capacity of 512GB. The customer also asked about points to consider regarding the installation environment. Since the installation location is a room with 24-hour air conditioning, we requested that the machine be set up in a layout that allows air to be drawn in from the front of the unit, aside from the surrounding temperature. Although heat inside the chassis is expelled from the rear, if the hot air that has been expelled circulates back to the front of the unit, it can cause cooling issues. Therefore, we recommend considering a layout that does not draw in the expelled air. Additionally, we conduct a pre-shipment test in a room temperature environment of around 25°C, confirming operation at 100% CPU load for over 12 hours to ensure there are no issues with the operating temperature before providing the unit.

  • Desktop PC
  • Workstation

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[PC Example] Deep Learning Machine Equipped with GeForce RTX 4090

A machine learning machine equipped with an RTX 4090.

This is a proposal example when consulting about a machine aimed at machine learning for audio language. Regarding the installation of Ubuntu 18.04, we have communicated the following information for your consideration: - Ubuntu 18.04 is an older version and has not been confirmed to work with the latest hardware configurations, making it difficult to guarantee its operation. - There is no problem in attempting to install Ubuntu 18.04. - If there are no critical hardware recognition errors, we could ship with Ubuntu 18.04, and if errors occur and cannot be resolved, we could consider switching to 20.04 or 22.04. - If Ubuntu 18.04 is installed, there is a possibility of errors occurring related to LAN peripherals, CPU, and low-power board components. Additionally, the GPU RTX 4090 has a large physical size and generates significant heat, so it is essential to pay close attention to the airflow inside the case. This example is for a hardware configuration that supports up to one GPU, so it is compatible with the internal exhaust type RTX 4090. Therefore, if there are no restrictions regarding the GPU on the software side, higher processing performance than the older RTX 3090 can be expected.

  • Desktop PC
  • Workstation

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