When Liquid Cooling Takes the Spotlight, It’s Cabling That Truly Powers AI

In the past, discussions around structured cabling focused on transmission speed and distance.
But in the era of AI large models, heat has become the biggest bottleneck—and the traditional logic of “copper to fiber replacement” is now evolving into a new paradigm: fiber and copper working in parallel.

Today, two keywords dominate the conversation:
AI computing power and liquid-cooled data centers.

From large-scale model training to AI-driven computing hubs, power density continues to rise. Traditional air cooling is approaching its limits, while liquid cooling—whether cold plate or immersion—is rapidly becoming the industry consensus, driving PUE lower than ever.

Yet behind this wave of innovation lies an often-overlooked question:

Computing power can scale. Cooling can evolve.
But has the foundation of data transmission kept up?

In many cases, the answer is: not necessarily.

And that foundation is structured cabling (fiber + copper).

1. Liquid Cooling Solves Heat—Cabling Determines Whether Compute Can Run

At its core, liquid cooling addresses thermal challenges in high-density environments.

But in the AI era, a data center is built on the coordination of three pillars:

Compute (GPU / CPU)
Energy (power supply + cooling)
Connectivity (network + cabling)

Among them, cabling is the only infrastructure that simultaneously impacts: