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Intelligent Two-Phase Immersion Cooling System for AI Servers

Fully automated and with no human intervention, integrated with a centralized situation room platform, and designed for fully airtight operation—enhancing the sustainability and efficiency of data centers.

  •   • Intelligent Coolant Management 

    • Replenishment & Recovery Cart: A high-capacity transport system equipped with a pneumatic diaphragm pump and a low-noise air compressor enables automated coolant refilling and recovery.  
    • Filtration and Inspection Functions: The system features built-in coolant filtration and manual sampling for quality assurance.
     

  • Intelligent Handling Framework

    • Server Gripping & Transport: Capable of automatically gripping servers weighing up to 30 kg and handling 1OU/2OU units for insertion and removal. 
    • Airtight Enclosure Module: Ensures airtight conditions during operation to prevent coolant leakage.  
    • Overhead Hoist Transport (OHT) System: Supports elevated transport operations, expanding system deployment flexibility.
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產品介紹及應用
 

Application Scenarios  

1. Application Scenarios  
  • Efficient Heat Dissipation: Designed to meet the thermal demands of high-density servers, enhancing overall computing performance.  
  • Energy Saving & Carbon Reduction: Achieves over 30% energy savings compared to traditional air cooling systems, lowering operational costs. 
2.Artificial Intelligence (AI) and Machine Learning Centers  
  • Stable Operation: Maintains system stability during intensive AI and ML model training, minimizing thermal-related disruptions.  
  • Intelligent Management: Enables remote monitoring through the situation room platform, improving management efficiency.  
 

Advancing Sustainability

Mirle is committed to helping customers enhance the sustainability of their data centers through high-efficiency, eco-friendly cooling technologies. Our goal is to support global clients in reducing their data center PUE to below 1.1, empowering them to meet energy and environmental challenges and move toward a greener, smarter future.
 
 
Table 1. Power Usage Effectiveness (PUE) Comparison in Data Centers
*PUE (Power Usage Effectiveness) is a standard metric for measuring energy efficiency in data centers.
It is defined as the ratio of a data center’s total energy consumption to the energy consumed by its IT equipment.
 

Careers

MIRLE has a variety of positions available,both technical and non-technical for talented professionals at all experience levels.

Investors

More financial details.

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