---
格式版本: 2
标题: "The Rise of Flexible Hybrid Cooling for AI Data Centers"
原文链接: "https://www.datacenterknowledge.com/infrastructure/the-rise-of-flexible-hybrid-cooling-for-ai-data-centers"
发布日期: "2026-09-07"
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发现时间: "2026-09-07T22:46:34+08:00"
入库时间: "2026-09-07T14:48:20.287Z"
来源平台: "Data Center Knowledge 搜索"
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搜索词: "https://www.datacenterknowledge.com/search?q=AI%20Rack"
匹配关键词:
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  - "AI"
  - "GPU"
  - "Liquid Cooling"
  - "performance"
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内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
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AI优质: "否"
AI打分: 53
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是施耐德电气专家对AI数据中心混合风液冷迁移的宣传性工程指南，给出40至超100 kW机架、下一代200 kW以上、DLC温差17至20°C，以及冷板、CDU、CRAH和RDHx组合等细节。当前页面虽由专业媒体承载且作者具名，但实质为厂商供稿并导向白皮书和咨询服务。历史证据已出现超100 kW AI机架、DLC及冷板等核心事实；本文增量主要是混合冷却将延续至2027至2028年的预测和若干建模数据，没有新产品、正式标准、独立实测、具名客户、量产或部署里程碑。命中教程与运维选型类硬否决，当前页面自身不足以作为新增业务情报源。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-09-07T22:48:33+08:00"
AI主题相关性: 17
AI来源权威性: 9
AI新颖性: 5
AI技术细节: 13
AI商业部署信号: 1
AI完整性: 8
AI评分提示词版本: "v17-精简生产版"
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AI摘要: "AI数据中心正转向风冷与直接液体冷却结合的“混合冷却”模式，以兼容存量设施和高密度GPU机架，这种架构将在2027至2028年主导过渡期；运营复杂性和相关人才短缺是主要瓶颈。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T21:43:53.124Z"
采集批次: "2026年9月7日22点28分59秒"
采集批次ID: "20260907-222859-024"
去重键: "https://www.datacenterknowledge.com/infrastructure/the-rise-of-flexible-hybrid-cooling-for-ai-data-centers"
---

Liquid cooling is a necessity for modern data centers, but the reality is that AI data center deployments for the foreseeable future will be hybrid.

SOURCE: Schneider Electric

From training massive language models to powering nonstop inference, AI is changing our everyday lives and fundamentally rewriting the rules of data center thermal management in the process.

Historically, air cooling was sufficient for enterprise workloads and remains viable for racks in the 20–40 kW range. But today’s GPU-accelerated AI racks commonly operate at 40 kW to well over 100 kW, with next-generation systems expected to reach 200 kW or more. At these densities, traditional air-cooling struggles to keep up, driving the shift toward direct liquid cooling (DLC).

The performance difference is clear: [thermal modeling shows single-phase DLC maintaining chip-to-coolant temperature differences of roughly 17–20°C at 500 W processor loads](https://www.se.co/b37df74e), compared with more than 60°C in comparable air-cooled systems. [Liquid cooling can transfer heat up to 3,000 times more effectively than air](https://www.se.co/8273828f), capturing heat directly at the source to prevent thermal throttling and protect infrastructure investments.

While transitioning to liquid cooling may seem like a straightforward solution, it is rarely a sudden, wholesale replacement. In 2026, most facilities are not going all-in on liquid. Instead, they are adopting hybrid cooling models that combine traditional air architectures with advanced direct-to-chip systems.

## Why Hybrid Will Dominate Transitions Through 2027-2028

Through 2027 and 2028, hybrid thermal strategies will dominate because data centers must accommodate both legacy IT equipment and next-generation AI accelerators within the same facility. The reality of brownfield retrofits, where most AI capacity is initially being deployed in existing air-cooled facilities, versus designing greenfield sites for liquid from day one means that air cooling will still play a critical role in ancillary systems and lower-density zones.

The future is not strictly liquid cooling only. It is about right-sizing the cooling method to the specific workload. Operators will successfully scale by deploying mixed architectures, such as utilizing direct-to-chip cold plates and Coolant Distribution Units (CDUs) for dense AI clusters, while managing residual heat with Computer Room Air Handlers (CRAHs) or fan-assisted Rear-Door Heat Exchangers (RDHx).

## The Real Bottleneck: Operational Complexity and the Talent Gap

While the technology for liquid cooling is maturing, navigating the operational complexity of a hybrid cooling environment is the real challenge. Cooling is no longer just a facilities issue. It requires the convergence of IT, mechanical engineering, and software management. Facilities must now manage fluid chemistry, leak detection, risk mitigation, and sophisticated maintenance workflows.

What’s more, the industry is facing a widening talent gap. Uptime Institute reports that [nearly two-thirds](https://connect.uptimeinstitute.com/about-ui/press-releases/uptimes-15th-annual-global-data-center-survey-results-shows-both-commitment-and-hesitancy) of operators struggle to hire and retain qualified staff, underscoring a shortage of teams with expertise across both liquid cooling systems and integrated infrastructure. Addressing this will require new training models, deeper vendor collaboration, and greater reliance on managed services.

While the industry is making strides toward standardizing interoperable designs — such as plug-and-play CDUs and manifolds that distribute coolant efficiently across racks — there is still fragmentation across vendors and approaches. Additionally, operators must navigate changing economics. While liquid infrastructure requires higher upfront CapEx, it delivers better Total Cost of Ownership (TCO) over time due to enhanced efficiency and density. Decision-makers are consequently shifting their focus from what is cheapest today to what can scale with AI demand.

### A Blueprint for Success: Reference Architectures and Readiness

Navigating this hybrid cooling transition requires standardizing deployments to avoid complex, bespoke engineering for every site. A successful liquid cooling ecosystem relies on selecting the appropriate [heat rejection architectures](https://www.se.co/8d21298), which are defined by the heat capture method, CDU type (rack-mounted or floor-mounted), and the method of rejecting heat outdoors.

To future-proof AI infrastructure, operators should utilize a strategic readiness checklist:

- Plan in Parallel: Physical infrastructure and IT planning must happen simultaneously from day one to prevent facilities from lagging behind hardware deployments.
- Design for Flexibility: Build dynamic, responsive designs capable of supporting multiple hardware generations, utilizing hybrid air and liquid combinations.
- Embrace Sustainability and Heat Reuse: Tying cooling strategies to ESG goals is a clear win, as advanced liquid cooling solutions [can reduce total facility energy consumption by up to 40% and cut water use by up to 60%.](https://www.se.co/548e9632) Furthermore, liquid cooling unlocks opportunities for heat reuse, allowing operators to redirect waste heat to adjacent buildings or district heating systems.

To learn more about managing the hybrid cooling transition. Download our white paper, [Navigating Liquid Cooling Architectures for Data Centers with AI Workloads,](https://www.se.co/8d21298) and our [Mastering Liquid Cooling](https://www.se.co/b72bb07) brochure to explore reference designs.  
  
Ready to future-proof your infrastructure? [Contact us](https://www.se.co/6c219689) to book a 30-minute readiness assessment today.

---

About the Author:

Andrew Bradner, Senior Vice President, Cooling Business

Andrew has been involved in the IT industry for over 25 years and delivering Data Center solutions for 20 years. He is excited by the pace of change in the Data Center industry and working with customers and partners to shape the Data Centers of the Future.

In over two decades with Schneider Electric, Andrew has worked in three continents and across multiple businesses, including the consumer UPS business, the data center business in China, the Prefabricated Data Center business and now the Cooling business for Schneider.