NVIDIA Rubin Platform Fully Liquid-Cooled: 45°C Cooling Technology and Data Center Efficiency Breakthrough

NVIDIA’s official blog published an article detailing the comprehensive liquid cooling technology used in the Rubin platform.
NVIDIA stated that all cloud service providers and data center operators building systems for the Rubin platform are driving the transition to liquid cooling.
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The bottleneck of AI computing expansion is shifting from chip supply to power supply and thermal management supply.



June 22, Science and Technology Board Daily – The NVIDIA Vera Rubin platform is about to enter mass production. On June 21 local time, NVIDIA’s official blog published an article detailing the 45°C comprehensive liquid cooling technology used in its latest AI servers, and its contribution to what is described as “one of the most significant energy efficiency breakthroughs in data center history.”



What does 45°C mean?


The article states that the water temperature of a hot tub is typically around 38 to 40°C, and most people need to rest after soaking in such high-temperature water for about 15 minutes. In contrast, the coolant used in NVIDIA’s technology can reach 45°C—a seeming paradox of “cooling” that is actually “high temperature,” which nevertheless leads to higher energy efficiency.



The NVIDIA Rubin platform is the world’s first AI computing platform to achieve 100% liquid cooling—every chip and every network component in the system relies entirely on liquid cooling, eliminating the need for air cooling. This liquid cooling approach has also been incorporated into the NVIDIA DSX AI Factory Reference Design.



According to NVIDIA’s public press release from early June, the Vera Rubin platform is accelerating into full mass production, with production and shipments scheduled to officially commence in the fall of this year.



NVIDIA noted that because the NVIDIA Rubin platform adopts comprehensive liquid cooling, all cloud service providers and data center operators building systems for this platform are driving the associated transformation.



The entire industry chain is also keeping pace. Schneider Electric President and CEO Richard Whitmore stated that as chip power density crosses the limits of what air cooling can handle, Schneider’s collaboration with NVIDIA has become even closer. “When the power consumption of a single chip reaches a certain level, liquid cooling is no longer an option, but a necessity.”



What changes in the new architecture?


NVIDIA pointed out that previous liquid-cooled servers actually employed a hybrid cooling architecture, where GPUs and CPUs used cold plate cooling, while other system components still relied on air cooling, dissipating heat to the air through finned heat sinks. In fully liquid-cooled servers, the cooling methods for these components must be completely restructured so that they can also rely on liquid cooling.


NVIDIA’s thermal design engineering team has developed a new cooling loop architecture, bringing two major changes. First, Rubin servers feature a clean, sealed front panel, whereas traditional air-cooled servers require a perforated front bezel. Second, fully liquid-cooled servers achieve higher rack density than air-cooled counterparts, reducing the footprint from six rack units to just two.



Additionally, full liquid cooling significantly reduces energy consumption in AI data centers, leading to substantial overall energy savings in hyperscale deployment scenarios. “Under NVIDIA’s DSX reference design for AI factories, we have eliminated a significant amount of power consumption and nearly all water usage,” stated Ali Heydari, Director of Data Center Cooling and Infrastructure at NVIDIA.



Notably, the blog post extensively emphasizes the water usage advantages of full liquid cooling. In the Rubin architecture, coolant flows through cold plates directly attached to processor surfaces, absorbing heat at the source. Since the coolant operates at temperatures up to 45°C, facility-level circulation systems can dissipate heat without activating mechanical chillers or high-noise fans in many regions.



According to China International Capital Corporation (CICC), the bottleneck of AI computing expansion is shifting from chip supply to power and thermal management supply, which has become the upgrade direction for AIDC construction. Analysts note that the 2026 AIDC investment theme is evolving: market focus is moving from standalone AI server shipments to the underlying infrastructure capabilities supporting large-scale AI clusters.


With rising GPU/ASIC power consumption, increasing power density per rack, and continuous expansion of CSP capital expenditure, data center construction constraints now extend beyond chips and servers to power supply, distribution, cooling, and on-site energy generation. Investment opportunities in the AIDC industry chain should be upgraded from “server component volume growth” to “systematic restructuring of power infrastructure.


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