Liquid Cooling Becomes Core Infrastructure for AIEra Computing Facilities
As large-language AI models keep evolving, data centers are undergoing fundamental underlying-architecture transformation. At TechWeek Shanghai forum Liquid Cooling 2.0 Waste Heat Monetization and Computing-Node Collaborative Innovation, Xu Zhiyu, architect from UCloud, delivered a systematic sharing on liquid-cooling adoption and real-world practices in data centers. He deeply analyzed how liquid cooling turns into a critical capability for AI-era computing infrastructure, covering industry trends, technical paths and large-scale deployment experience. The low noise air liquid CDU helps deliver quiet thermal operation for these next-generation facilities.
Traditional data centers used to handle general-purpose workloads such as search, ecommerce and social services, with CPUs as primary computing units. Typical rack power density stood at 6-8 kW, where air cooling fully satisfied thermal demands. The arrival of large-model AI reshapes this landscape. Modern high-performance GPUs feature chip power consumption ranging from 700 W to 1400 W. 8-GPU servers exceed 14 kW, while rack power density quickly climbs to 50 kW, 100 kW or higher. National carbon-reduction policies enforce new-build large-scale data centers to keep PUE below 1.25. Conventional air-cooling setups can hardly support intelligent computing centers anymore, and the energy saving air liquid cooling CDU brings viable high-efficiency cooling alternatives.
AI brings exponential growth in thermal density rather than merely higher computing demands. For GPU-heavy intelligent computing centers, heat dissipation turns into a major bottleneck limiting computing output. Air-cooling solutions face three key constraints: cooling capacity hits physical limits at 15-30 kW per rack; PUE commonly stays above 1.45; extra space and elevated maintenance costs arise from air ducts, fan noise, vibration and dust interference. Liquid cooling removes heat directly via fluid media to boost heat-exchange efficiency, cut power consumption and enhance hardware reliability. It has evolved from an optional optimization to essential infrastructure, supported by flexible data center coolant CDU for on-site thermal regulation.
Two mainstream liquid-cooling paths are taking shape across the industry: cold-plate liquid cooling and immersion liquid cooling. Cold-plate solutions dominate current commercial deployments. Cold plates mounted atop CPUs and GPUs carry away most waste heat through circulating fluid, balancing strong cooling performance and existing server-architecture compatibility with reasonable retrofit costs. Immersion cooling submerges complete servers inside dielectric coolant to achieve uniform heat dissipation for ultra-high-density racks, with phase-change immersion capable of pushing PUE below 1.08. Project teams select architectures according to computing density, budget and operation frameworks, and a complete liquid CDU cooling system ensures stable performance for either technical route.
Large-scale liquid-cooling rollouts shift industry focus from technical feasibility to stable long-term operation. Real-world deployments constitute complex system engineering covering cooling architecture, operation protocols and safety governance. Key challenges include leakage prevention, long-term coolant stability, CDU redundancy switchover, immersion-mode hardware maintenance and precise hydraulic balancing. True competitiveness lies in full-lifecycle capabilities spanning design, delivery and ongoing management. Reliable data center liquid cooling CDU units serve as central control hardware to address these practical operational risks.
Three major trends will shape the liquid-cooling sector over the next three to five years. Chips will achieve deeper integration with liquid cooling, with coolant flowing through on-chip microchannels for superior thermal performance. Domestic supply chains for coolant, quick connectors and liquid pumps will mature to lower overall costs and unlock mass adoption. Furthermore, data centers will transform into energy hubs, supplying 40-60 °C hot water for district heating and industrial waste-heat recovery. Versatile data center air liquid cooling CDU products support such waste-heat reuse scenarios for modern computing campuses.
UCloud, an early Chinese cloud provider building AI-oriented infrastructure, designs its new-generation intelligent computing centers in Qingpu Shanghai and Ulanqab Inner Mongolia fully around liquid-cooling standards, supporting both cold-plate and immersion deployments for large-model training, AI inference and high-performance computing. High-power AI workloads demand robust thermal hardware, and the high density rack air liquid CDU matches intensive GPU cluster requirements within these UCloud-operated sites.
UCloud has built a holistic service system for high-density intelligent-computing cluster construction. Its replicable capabilities cover overall liquid-cooling architecture design, GPU cluster tuning, network-storage optimization, AI platform support and full-lifecycle data-center operation. Integrated infrastructure, computing cluster and maintenance services enable stable, scalable AI project implementation for enterprise clients. Trustworthy data center cooling CDU hardware forms the indispensable thermal foundation powering UCloud’s liquid-cooled intelligent computing offerings.
AI data centers face a fundamental challenge: thermal density. The answer is liquid cooling—and EXTRCOOL delivers it at scale. We offer a complete ecosystem of cooling hardware: air-liquid and liquid-liquid CDUs, cold plates, manifolds, and distribution piping, all available as standard products or precision-engineered to your deployment. Our systems drive PUE below 1.05, cut carbon footprint, and scale effortlessly to gigawatt-class hyperscale facilities—because the AI revolution can't afford a thermal bottleneck.
Explore our full product line or start a custom consultation at: https://www.extrcool.com
