Soeteck 排内 CDU 冷却液分配装置

数益的 Soeteck 排内 CDU 冷却液分配装置 is an advanced in-row liquid cooling solution crafted for modern data center environments. It is meticulously engineered to address the needs of cold-plate liquid-cooled data centers, especially those suitable for modular deployment with a scale of single-row cabinets and above (applicable to setups with more than 10 liquid-cooled cabinets).

This unit is also well-suited for HPC (High-Performance Computing) clusters, which involve dense CPU/GPU configurations in scientific research computing, such as weather simulation and gene sequencing. Additionally, it fits perfectly into intelligent computing centers that house medium-to-large-scale GPU clusters used for training both large and small AI models.

At its core, the product comes with a suite of advanced technologies. It possesses a high cooling capacity, ranging from 200kW to 550kW, and can adapt to various cabinet sizes. The system integrates redundancy and monitoring mechanisms; key components adopt redundant configurations, including pumps, control sensors, filters, and an independent leak detection system. This ensures continuous cooling supply even during maintenance or when faults occur.

From a commercial standpoint, the Soeteck 排内 CDU 冷却液分配装置 brings considerable value. Its online maintenance capabilities, like real-time online water quality detection and online coolant replacement, minimize downtime and keep the system operating at its best. Moreover, it integrates industrial communication protocols such as Modbus and BACnet, enabling remote data monitoring and fault early warning, which enhances the management efficiency of data centers.

High Cooling Capacity

• Provides a powerful cooling capacity range of 200kW-550kW, which is crucial for effectively handling the heat produced by computing equipment in cold-plate liquid-cooled data centers, HPC clusters, and intelligent computing centers. This ensures that servers and other hardware operate within optimal temperature ranges, avoiding overheating and potential performance issues.

Superior System Reliability

• Key components utilize redundant configurations, including pumps, control sensors, filters, and an independent leak detection system. This redundancy means there are backup components ready to take over in case of a failure, guaranteeing uninterrupted cooling supply during maintenance or when faults happen.

Convenient Online Maintenance

• Enables real-time online water quality detection, allowing administrators to constantly monitor the condition of the coolant. This helps in maintaining the coolant in an optimal state for efficient heat transfer.
• Supports online coolant replacement, meaning the system can be serviced and the coolant refreshed without shutting down the entire unit. This reduces downtime and ensures the system operates at peak performance at all times.

Advanced Remote Management

• Integrates industry-standard communication protocols such as Modbus 和 BACnet, allowing for seamless integration with existing building management systems.
• Facilitates remote data monitoring, enabling operators to track critical parameters like temperature, pressure, and flow rate from a central location.
• Offers fault early warning capabilities, sending alerts when potential issues are detected. This allows for proactive maintenance and reduces the risk of unexpected system outages.

• Cold-plate liquid-cooled data centers
• HPC (High-Performance Computing) clusters
• Intelligent computing centers for AI model training

数益的 Soeteck 排内 CDU 冷却液分配装置 is available in multiple models to meet different cooling requirements. The RLL00600 model offers a heat exchange capacity of 600kW, with a primary-side circulating water flow rate of 52.26 m³/h and a rated power of 11.6kW, making it suitable for larger-scale installations. The RLL00350 model provides a heat exchange capacity of 350kW, a primary-side flow rate of 30.387 m³/h, and a rated power of 4.8kW, ideal for smaller or moderately sized setups. All models share common design principles in terms of reliability features like redundant components and leak detection, while differing in key performance parameters to offer flexibility in meeting various data center and computing cluster needs.