What does the launch of the NVIDIA Rubin platform mean for data center power demand? Innovation is enabling data centers to redirect power to more compute with hot-water cooling, advanced cold plates and intelligent coolant distribution units (CDUs). Further, when cooling and power architectures are co-designed, data centers can achieve greater levels of efficiency and reliability from chip to grid.
At CES2026, NVIDIA CEO Jensen Huang emphasized Rubin’s chip energy parity and a shift in data center cooling: next-generation AI systems can operate with inlet coolant temperatures up to 45°C (113°F)—a concept known as hot-water cooling. This approach dramatically reduces reliance on energy-intensive chillers, cutting cooling energy costs and boosting AI factory efficiency.
Current data centers use a significant amount of power for chiller systems that provide refrigerated coolant to the servers. Hot-water cooling will shift data center power to CDUs and enable more chips to operate on the same grid connection. Reallocating power to more AI computing can allow up to 33% more AI factory output per grid connection.
This is a classic case of the Jevons Paradox: efficiency enabling sustainable growth.
Dr. Peter de Bock, vice president, Data Center Energy and Cooling Technology, Eaton
Data center operators can save 20–40% in energy costs, reinvesting in more electrical infrastructure and GPUs for higher AI throughput—potentially 33% more compute, token per watt without expanding grid capacity.
Intelligent CDUs and hot water cooling will bring dramatic efficiency improvements that’ll enable data centers to move power and cost out of facility cooling, and into the electrical architecture, power distribution and additional GPUs to support denser AI factories. While it may not lead to less power consumption, it’ll mean that AI factories can do more with the power they have.
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