MQD/MQDB Coupling (NVIDIA Standard)

As Artificial General Intelligence (AGI), large language models, and high-performance computing continue to evolve, computing power has become one of the most critical resources in the AI industry. Modern AI clusters are no longer simply collections of processors—they are highly coordinated computing ecosystems operating at unprecedented power densities.
With the continuous increase in GPU performance, thermal management has emerged as one of the key factors limiting computing efficiency. As a result, advanced cooling technologies are becoming essential for unlocking the next generation of AI computing capabilities.
At CES 2026, NVIDIA CEO Jensen Huang introduced the latest NVIDIA Vera Rubin NVL72 system, which utilizes a fully liquid-cooled architecture. This milestone highlights a clear industry trend: liquid cooling is rapidly becoming the preferred thermal management solution for high-density AI servers and data centers.
 

Why Liquid Cooling Matters

Liquid cooling removes heat from high-performance processors far more efficiently than traditional air cooling. In cold plate liquid cooling systems, heat generated by GPUs and CPUs is transferred to the cold plate, then carried through cooling loops and fluid connectors to manifolds and heat exchangers before being discharged from the rack.
Within this process, fluid connectors play a critical role. They must provide reliable sealing, fast connection and disconnection, high-pressure resistance, and simplified maintenance while minimizing the risk of coolant leakage.

This is where the MQD and MQDB Series Couplings deliver outstanding value.