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Rack-mounted U server Product List

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BTO5U Rack GPU Server for Autonomous Driving / Ryzen / Liquid Cooling

BTO5U Rack GPU Server for Autonomous Driving / Ryzen / Liquid Cooling

Optimized for deep learning. 5U rack GPU server with liquid cooling.

In the field of autonomous driving, recognition learning requires the ability to process vast amounts of data quickly and accurately. In particular, high-performance GPUs and cooling systems to ensure stable operation are essential for real-time situational judgment and the execution of complex algorithms. Insufficient processing power or inadequate cooling can increase the risk of decreased learning accuracy and system downtime, potentially leading to development delays. Our BTO5U rack GPU server is equipped with high-performance CPUs and GPUs, as well as a liquid cooling system, to address these challenges in recognition learning. 【Use Cases】 - Recognition learning for autonomous driving systems - Development and validation of AI models - Processing large volumes of image and video data 【Benefits of Implementation】 - Acceleration and improvement of recognition learning - Enhanced development efficiency through stable system operation - Future-proofing with the latest GPUs

  • Industrial PCs
  • Rack-mounted U server

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

[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

  • Industrial PCs
  • Rack-mounted U server

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

[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

  • Industrial PCs
  • Rack-mounted U server

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