AI factories need power, not promises, as cooling becomes the silent bottleneck

The rapid rise of AI workloads has made power and cooling critical challenges for data centers, as traditional systems struggle with GPUs exceeding 1,200 watts and growing global demands. ZutaCore’s two-phase liquid cooling system offers a breakthrough solution by using phase-change technology to vaporize and condense dielectric fluid directly at the chip level, eliminating the need for inefficient fans and pumps. This achieves a power usage effectiveness (PUE) as low as 1.03, cutting energy use and boosting compute capacity by 75% within the same energy limits. Two-phase cooling also stabilizes GPU and CPU temperatures, reducing thermal throttling, improving performance, and speeding up AI training times. It extends hardware lifespan by minimizing temperature swings and allows denser installations without extra space, as seen at the University of Oregon, where CPU temperatures and power usage improved significantly. ZutaCore’s cooling technology is driving sustainable, efficient AI scaling.