Introduction

Artificial intelligence workloads are pushing server density to levels that traditional cooling architectures weren't designed to handle. As processor thermal design power climbs, heat no longer stays confined to a single chip—it spreads across memory, networking, storage, and power components, creating a cascade of thermal challenges inside every rack.

What Happened

CoolIT, an Ecolab company, has spent six generations refining modular coldplate technology to capture heat at the source. Unlike conventional approaches that split airflow and liquid cooling, the goal is near-total liquid heat capture, pushing air's share below 1 percent. This enables fanless server designs and removes the cost and complexity of massive air-moving systems.

Why This Matters

Once rack power crosses the 250 kW threshold, a 70/30 liquid-to-air split leaves 75 kW of air load that requires a parallel cooling system few operators want to maintain. Near-total liquid capture eliminates that bottleneck. By directing almost all heat into a single liquid loop, servers can operate without fans, reducing energy use, noise, and failure points while supporting rack densities that approach 1 MW.

Key Takeaways

  • Near-total liquid heat capture is becoming the standard for AI racks exceeding 250 kW.
  • Modular coldplate blocks proven across six generations enable reliable, repeatable deployment.
  • Heat cascades from processors to memory, networking, storage, and power components, requiring component-level cooling solutions.
  • Fanless designs become feasible when air handling drops below 1 percent of total thermal load.
  • CoolIT's modeling predicts full liquid cooling will be the mainstream rack design through 2028 and beyond.

Conclusion

As AI workloads grow denser, the economics of air cooling no longer add up. Near-total liquid heat capture isn't just a premium option—it's becoming a design requirement for any server rack pushing toward megawatt-scale density. The shift toward fanless, liquid-cooled infrastructure is already underway, and the next generation of AI data centers will be defined by how effectively they move heat out of the rack.