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Nvidia unveils high-temp liquid cooling for AI data centers
![Nvidia unveils high-temp liquid cooling for AI data centers](http://blogs.nvidia.com/wp-content/uploads/2026/06/HotLiquidCooling_noaudio.mp4" frameborder="0"></iframe></p><p>英伟达在官方博客中表示，该液冷数据中心参考设计“在保持高算力输出的同时，几乎消除了冷却环节对水的依赖”，并将其描述为未来云服务商构建 Rubin 世代 AI 设施时值得采用的样板方案。 不过，科技媒体指出，英伟达并未在博文中提及采用液冷方案与传统风冷数据中心在建设成本上的差异，也未详细说明这一设计在实际部署中的经济可行性。</p><p>与传统需要维持较低机房温度的风冷方案不同，英伟达的思路是允许服务器在更高温度下运行，再配合高效液冷循环系统，将热量集中导出。 根据公司介绍，这一设计可以让 AI 服务器在高达 45 摄氏度（约 113 华氏度）的温度下稳定工作，与近期亚马逊宣称其以更高散热上限优化以空气冷却为主的数据中心思路类似。 通过提高可容忍温度区间，运营方在不同季节和气候条件下对外界冷源的依赖有望下降。</p><p style="text-align: center;"><iframe width="640" height="480" src="//blogs.nvidia.com/wp-content/uploads/2026/06/LiquidCoolingInfra_montage_v4.mp4?_=1" frameborder="0"></iframe></p><p>英伟达表示，在这套方案中，服务器产生的热量由液冷组件直接捕获，并通过温度更高的封闭循环回路传输至散热装置。 由于冷却回路运行在较高温度下，冷却塔或干式冷却器可以在全年更多时间段将热量排出到环境中，而不必依赖大量蒸发用水，系统对周围空气温度的敏感度也因此降低。 公司强调，这种架构为布局在不同气候带的数据中心提供了更大的工程弹性。</p><p style="text-align: center;"><img src="https://static.cnbetacdn.com/article/2026/0623/fd1dbec32784aab.jpg)
💡Learn how Nvidia is tackling the massive water and energy costs associated with training next-gen AI models.
⚡ 30-Second TL;DR
What Changed
Designed specifically for the next-gen Rubin architecture
Why It Matters
This design helps mitigate the environmental criticism surrounding massive AI compute clusters. It sets a new standard for sustainable data center architecture in the era of large-scale model training.
What To Do Next
Review the thermal design power (TDP) requirements for your upcoming GPU cluster deployments to see if high-temp cooling can reduce your facility's PUE.
Who should care:Enterprise & Security Teams
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •The cooling solution utilizes a 'warm water' cooling approach, allowing data centers to operate with coolant inlet temperatures significantly higher than traditional chilled-water systems, often eliminating the need for energy-intensive chillers.
- •Nvidia's reference design integrates directly with the rack-level architecture of the Rubin platform, utilizing advanced cold plates that cover both the GPU and the high-bandwidth memory (HBM4) stacks.
- •This initiative is part of Nvidia's broader 'Data Center Infrastructure' (DCI) strategy, which aims to standardize cooling and power delivery to support the extreme thermal design power (TDP) requirements of next-generation AI accelerators.
- •The design incorporates proprietary leak-detection sensors and automated flow-control valves that adjust coolant distribution in real-time based on workload intensity and thermal telemetry from the Rubin GPUs.
- •By shifting to higher-temperature liquid cooling, Nvidia claims a reduction in Power Usage Effectiveness (PUE) metrics, potentially bringing large-scale AI clusters closer to a PUE of 1.05 or lower.
📊 Competitor Analysis▸ Show
| Feature | Nvidia (Rubin Cooling) | Intel (Gaudi/Xeon Liquid) | AMD (Instinct Cooling) |
|---|---|---|---|
| Cooling Approach | High-Temp Warm Water | Standard Liquid/Hybrid | Direct-to-Chip Liquid |
| Primary Focus | Extreme Density/Efficiency | Enterprise Versatility | Performance/Scalability |
| Integration | Proprietary Rack Design | Open Standard/OCP | OCP/Standardized Plates |
🛠️ Technical Deep Dive
- Utilizes high-thermal-conductivity interface materials to manage heat flux exceeding 1000W per GPU package.
- Implements a closed-loop liquid-to-chip architecture that supports inlet temperatures up to 45 degrees Celsius.
- Features modular coolant distribution units (CDUs) capable of supporting rack-level power densities exceeding 100kW.
- Designed for compatibility with OCP (Open Compute Project) rack standards to facilitate rapid deployment in hyperscale environments.
- Employs advanced manifold designs to minimize pressure drop across the cooling loop, reducing the energy required for pumping.
🔮 Future ImplicationsAI analysis grounded in cited sources
Data center construction costs will decrease by 15-20% due to the elimination of mechanical chillers.
Transitioning to warm-water cooling allows facilities to rely on dry coolers or ambient air cooling, significantly reducing infrastructure capital expenditure.
Nvidia will mandate liquid cooling for all future high-end GPU architectures.
The thermal density of the Rubin architecture and its successors exceeds the physical limits of traditional air-cooling solutions.
⏳ Timeline
2023-05
Nvidia introduces Grace Hopper Superchip with advanced thermal management requirements.
2024-03
Nvidia announces Blackwell architecture with a focus on liquid-cooled rack-scale systems.
2025-06
Nvidia expands its data center infrastructure portfolio to include standardized liquid cooling components.
2026-05
Nvidia officially unveils the Rubin architecture and its associated high-temperature cooling reference design.
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