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Liquid cooling challenges in AI data centers

  • By Victor Avelar
  • 21 Oct 2025
  • 4 min read
Key insights for AI data center cooling
  1. Why material compatibility matters in AI liquid cooling systems

    In DLC systems, incompatible metals can trigger galvanic corrosion, which risks damaging IT equipment. Selecting materials with similar electrochemical properties minimizes corrosion risks. 

  2. Balancing liquid and air cooling in AI data centers

    Deploying liquid-cooled IT alongside air-cooled systems demands trade-offs between energy efficiency and upfront capital costs. Analysing total cost of ownership can help make these decisions. 

  3. Direct coupling complexity

    DLC infrastructure connects coolant distribution directly to IT servers, making precision in piping, coolant treatment, and flow control essential to system reliability. 

  4. Vendor collaboration for reliable AI liquid cooling operations

    Warranty ambiguities and GPU power fluctuations require clear agreements with vendors and robust system monitoring to ensure consistent performance.

DLS specification: challenges and solutions for AI workloads
Installation: challenges and solutions
Operation: challenges and solutions

Liquid cooling success

Direct liquid cooling systems represent a transformative advance in data center cooling efficiency, but success depends on meticulous planning and vendor collaboration. By proactively addressing specification, installation, and operational challenges, stakeholders can realize DLC’s full potential while minimizing risk.


As industry standards evolve, DLC adoption will become smoother, offering a reliable and efficient cooling solution for AI and HPC workloads. The time to act is now. Partner with trusted vendors, implement proven best practices, and position your facility at the forefront of liquid cooling innovation.

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