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AI 資料中心後門熱交換器系統的市場規模、佔有率和成長預測(2026-2032 年)。

AI Data Center Rear-Door Heat Exchanger Systems Market Size, Share & Growth Forecast (2026-2032)

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2026年人工智慧資料中心後門熱交換器系統的市場規模估計為5.8億美元,預計到2032年將達到23億美元。這意味著從2026年到2032年的複合年成長率為25.8%。

後門式熱交換器在伺服器排氣進入機房前的空氣側末端進行散熱。 IT風扇從伺服器內部吸入空氣,高溫排氣流經安裝在機架正後方的液冷盤管。這些盤管將熱量傳遞給水或水-乙二醇混合冷卻液循環迴路,使空氣以接近或等於環境溫度的溫度返回機房。被動式系統主要依靠伺服器風扇壓力散熱,而主動式系統則透過增加電子整流風扇來克服熱交換器的壓力損失,從而應對更高的熱負荷。這種架構在棕地的AI部署中尤其適用。現有機房可能擁有足夠的電力和冷凍水供給能力,但機房的冷卻能力不足以滿足新增圖形處理器(GPU)機架的需求。用後門式熱交換器取代標準機架門,無需重建整個資料中心的冷卻系統,即可提高機架密度。施耐德電機已明確將「ChilledDoor」定位為棕地AI設施改造升級方案,而STULZ、nVent、Rittal和Coolcentric等公司也強調其與現有設施的兼容性。這與待開發區中直接對晶片進行冷卻的需求模式有所不同,因為商業性價值來自於現有伺服器、機架和設施基礎設施的再利用。此外,後門式熱交換器正逐漸成為冷板的替代方案,同時也是一種互補技術。在施耐德電機2026年的「AMD Helios」設計中,84%的機架熱採用直接液冷,其餘部分則採用後門式熱交換器進行風冷。 Vertiv也同樣將後門式熱交換器定位為與直接對晶片冷卻系統並存的混合冷卻層。由於加速器採用液冷,而記憶體、網路設備、電源和其他元件仍採用風冷,因此即使冷板變得更加普遍,混合架構仍有望維持對後門熱交換器的需求。

市場促進因素

  • 在現有設施(棕地)中部署人工智慧時,機架級散熱是首選方案。隨著電網連接和現有資料中心設施日益成為寶貴資產,營運商正在原本設計機架密度較低的設施中部署人工智慧基礎設施。後門式熱交換器可在維持現有伺服器氣流和機房佈局的同時,逐一架地增加冷卻能力。施耐德電機2026年棕地改造指南明確將「ChilledDoor」列為H100和H200級圖形處理器(GPU)環境的選用方案,而nVent和Rittal則將其後門系統定位為標準機架的維修解決方案。因此,當建築物無法容納大型新風扇牆或機房冷卻系統時,後門式熱交換器尤其具有吸引力。由於後門式熱交換器可以改造現有機架,因此棕地資料中心成為主要的部署基地。
  • 即使引進了晶片級直接冷卻技術,空氣冷卻帶來的熱負荷依然存在。冷板通常會優先冷卻處理器和其他發熱量最高的組件。電源、記憶體、儲存設備、網路介面和其他電子元件仍會向空氣中釋放熱量。根據施耐德電機的AMD Helios參考設計,直接液冷可以去除機架84%的熱量,但仍有相當一部分熱量需要透過空氣冷卻來承擔。後門式熱交換器可以捕捉這部分剩餘熱量,從而無需負責人維護龐大的機房級冷卻基礎設施,並支援跨多個AI硬體世代的混合液冷-風冷設計。
  • 隨著機架密度的增加,主動式後門的價值也日益凸顯。被動式後門之所以高效,是因為其風扇幾乎不電力消耗,但隨著機架密度的增加,空氣阻力增加,控制難度也隨之增加。主動式設計增加了電子整流風扇,並具備控制功能,能夠根據伺服器負載的變化來調節流經熱交換器的氣流。 STULZ 的 2026 Cyber​​Rack 更新版本整合了溫度感測器和負載自適應風扇控制功能,而 Delta、nVent 和 Legrand 則提供了專為高密度機架設計的主動式平台。因此,設備的價值不再局限於熱交換器盤管,而是擴展到風扇、控制、冗餘和監控等各個方面。
  • 標準化的AI參考設計可降低部署風險。機架級AI系統正擴大透過檢驗的參考架構進行部署,這些架構以統一的方式定義了電源、冷卻液流量、機架佈局和餘熱排出。施耐德電機的AMD Helios設計採用了Motivair的後門冷卻系統,而Vertiv則在其360AI產品組合中整合了後門熱交換器。這使得後門冷卻不再需要逐個項目進行維修,而是成為一個可重複使用的子系統,可以與更廣泛的AI機架配合採購和試運行。這種標準化有助於託管和新型雲端服務提供者在多個地點部署可預測的設計。目前,AI參考設計將冷卻液分配單元、冷板和後門熱交換器整合到散熱組件中。

市場限制因素

  • 後門式熱交換器並非適用於所有人工智慧架構。在高機架密度下,標準伺服器風扇的實際風量可能不足,因此需要主動式機門或直接冷卻方式。此外,後門式熱交換器需要在機架附近設置液冷迴路,即使在設計為僅採用空氣冷卻的機房中,也需要進行軟管佈線、洩漏管理、水質控制和維護。維護時打開後門可能會暫時將機架的熱量釋放到機房內,因此負責人仍需配備緊急冷卻方案。隨著人工智慧平台中直接液冷散熱比例的增加,每個機架的剩餘空氣負荷可能會降低。因此,即使液冷機架的數量增加,可部署的後門式熱交換器的數量也將受到限制。

目錄

第1章:執行摘要

  • 市場機會與主要發現
  • RDHx實施計劃
  • 主要收入來源

第2章 市場概覽

  • 後門式熱交換器的運行原理
  • 被動和主動 RDHx
  • 棕地人工智慧維修架構
  • 混合式RDHx和直接尖端冷卻
  • 房間中性機架冷卻

第3章 市場規模及預測(2026-2032 年)

  • 全球市場銷售
  • 年增率分析
  • RDHx 冷機架出貨量
  • 每機架收入和冷卻能力

第4章 市場:依建築學分類

  • 被動式後門型熱交換器
  • 主動式後門熱交換器
  • 混合型RDHx和直接尖端系統

第5章 市場:依組件分類

  • 熱交換器門組件
  • EC風扇和氣流模組
  • 軟管、閥門、歧管套件
  • 控制設備、感測器和洩漏監測
  • 安裝、試運行和生命週期服務

第6章 市場:依機架熱負載分類

  • 小於50千瓦
  • 50~100kW
  • 100~200kW
  • 200度或以上

第7章 市場:依部署方式分類

  • 棕地人工智慧維修
  • 待開發區人工智慧資料中心
  • 混合式(風冷/水冷)資料中心
  • 用於共址的高密度區域

第8章 市場:依客戶類型分類

  • 超大規模雲端供應商
  • Neocloud 和 GPU 雲端供應商
  • 託管服務提供者
  • 主權人工智慧基礎設施
  • 企業和高效能運算

第9章:地方市場

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
  • 亞太地區
  • 中東和世界其他地區

第10章 市場動態

  • 促進因素
    • 在現有設施中實施人工智慧的需求
    • 直接冷卻至噴嘴後的殘餘空氣熱量
    • 提高貨架密度
    • 檢驗的混合人工智慧參考設計
  • 抑制因子
    • 極端機架密度下的實際氣流限制
    • 液體基礎設施和洩漏管理的要求
    • 維護工作期間和緊急冷卻期間的開門
    • 直接液體熱回收技術的擴展

第11章 競爭格局

  • 價值鏈
  • 活性RDHx供應商
  • 被動式RDHx供應商
  • 機架和機櫃整合
  • 常壓裝置和二次循環生態系統
  • 人工智慧參考夥伴關係

第12章:公司簡介

  • Schneider Electric
  • Vertiv
  • STULZ
  • Legrand
  • nVent
  • Rittal
  • Coolcentric
  • Delta Electronics
  • Munters
  • Airedale(Modine)
  • Lenovo
  • IBM
  • Boyd
  • Alfa Laval
  • Kelvion

第13章 近期趨勢

第14章附錄

簡介目錄

The AI Data Center Rear-Door Heat Exchanger Systems Market is estimated at USD 0.58 billion in 2026 and is projected to reach USD 2.30 billion by 2032, representing a CAGR of 25.8% during 2026-2032.

Rear-door heat exchangers remove heat at the last air-side point before server exhaust enters the room. Information technology fans pull air through the server, and the hot exhaust passes across a liquid-filled coil mounted directly behind the rack. The coil transfers heat to a water or water-glycol circuit and returns air to the room at or near ambient temperature. Passive systems rely primarily on server fan pressure, while active systems add electronically commutated fans to overcome heat-exchanger pressure drop and support higher heat loads. The architecture is particularly useful in brownfield AI deployments. Existing facilities may have sufficient electrical power and chilled-water capacity but insufficient room-air cooling for new graphics processing unit racks. Replacing a standard rack door with a rear-door heat exchanger can raise supported rack density without rebuilding the full data-hall air system. Schneider Electric specifically positions ChilledDoor for brownfield AI modernization, while STULZ, nVent, Rittal and Coolcentric all emphasize retrofit compatibility. This creates a different demand profile from greenfield direct-to-chip cooling because the commercial value comes from reusing existing servers, racks and facility infrastructure. Rear-door heat exchangers are also becoming a complementary technology rather than merely an alternative to cold plates. Schneider Electric's 2026 AMD Helios design uses direct liquid cooling for 84 percent of rack heat and rear-door heat exchangers for the remaining air-cooled load. Vertiv similarly positions rear-door heat exchangers as a hybrid layer alongside direct-to-chip systems. As accelerators become liquid cooled while memory, networking, power supplies and other components retain air cooling, hybrid architectures can sustain rear-door heat exchanger demand even as cold-plate penetration rises.

Market Drivers

  • Brownfield AI retrofits favor rack-level heat removal. Grid connections and existing data-center shells have become valuable assets, encouraging operators to place AI infrastructure into facilities originally designed for much lower rack densities. Rear-door heat exchangers allow cooling capacity to be added rack by rack while preserving existing server airflow and room layouts. Schneider Electric's 2026 brownfield guidance explicitly identifies ChilledDoor as an option for H100- and H200-class graphics processing unit environments, while nVent and Rittal position their rear-door systems as retrofit solutions for standard racks. This makes rear-door heat exchangers particularly attractive where the building cannot support a large new fan-wall or room-cooling system. Brownfield data centers are a major adoption base because rear-door heat exchangers can retrofit existing racks.
  • Residual air heat remains after direct-to-chip adoption. Cold plates usually prioritize processors and other highest-heat components. Power supplies, memory, storage, network interfaces and additional electronics can still reject heat to air. Schneider Electric's AMD Helios reference design indicates that direct liquid cooling removes 84 percent of rack heat, leaving a meaningful residual load for air-side cooling. Rear-door heat exchangers can capture that remaining load without forcing operators to maintain oversized room-level cooling infrastructure, supporting hybrid liquid-air designs through multiple AI hardware generations.
  • Rising rack density increases the value of active rear doors. Passive rear doors are efficient because they consume little or no direct fan power, but higher air-side resistance becomes more difficult as rack density increases. Active designs add electronically commutated fans and controls that maintain airflow across the heat exchanger as server load changes. STULZ's 2026 CyberRack update includes integrated temperature sensing and load-adaptive fan control, while Delta, nVent and Legrand offer active platforms designed for higher-density racks. The result is an expanding equipment-value layer around fans, controls, redundancy and monitoring rather than only the heat-exchanger coil.
  • Standardized AI reference designs reduce deployment risk. Rack-scale AI systems increasingly deploy through validated reference architectures that specify power, coolant flow, rack layout and residual heat removal together. Motivair rear doors now appear inside Schneider Electric's AMD Helios design, while Vertiv includes rear-door heat exchangers within its 360AI portfolio. This turns rear-door cooling from a project-specific retrofit into a repeatable subsystem that can be procured and commissioned with the wider AI rack. Standardization supports higher adoption among colocation and neocloud operators that need predictable designs across multiple sites. AI reference designs now combine coolant distribution units, cold plates and rear-door heat exchangers as one thermal stack.

Market Restraints

  • Rear-door heat exchangers are not suitable for every AI architecture. Very high rack densities can exceed the practical air-moving capability of standard server fans, increasing the need for active doors or direct-to-chip cooling. Rear-door heat exchangers also require a liquid loop close to the rack, which introduces hose routing, leak management, water-quality requirements and service procedures into facilities that may have been designed as air-only environments. Opening the rear door for maintenance can temporarily release rack heat into the room, so operators still need contingency cooling. As AI platforms move toward higher percentages of direct liquid heat capture, the residual air load per rack may decline, limiting rear-door heat exchanger equipment content even as the number of liquid-cooled racks expands.

Technology and Segment Insights

  • Passive rear-door heat exchangers represent the larger installed architecture in 2026 because they offer very low direct power consumption and can be retrofitted onto standard server racks where existing information technology fans provide sufficient airflow. Rittal, Lenovo, Coolcentric and other suppliers have established passive products that transfer rack heat into a chilled-water loop without adding fan energy at the door. Passive rear-door heat exchangers remain attractive where server fans provide sufficient airflow through the coil.
  • Active rear-door heat exchangers are expected to grow faster through 2032. Integrated fans reduce dependence on server fan pressure and allow the system to handle higher heat loads and changing operating conditions. STULZ, Delta, nVent, Motivair and Legrand offer active or intelligent configurations with sensors, controls and variable-speed fans. Active systems carry higher equipment value per rack, supporting market revenue as AI densities rise. Active rear-door heat exchangers grow faster as rack heat loads and air-side pressure drops increase.
  • Hybrid rear-door heat exchanger and direct-to-chip systems form an emerging mainstream architecture that captures residual air heat after processor cold-plate cooling. This category is expected to be very strong as accelerators move to liquid cooling while other components remain air cooled. Rear-door heat exchanger hose, valve and manifold kits form a core supporting category that connects rack doors safely to secondary coolant loops. Controls, sensors and leak monitoring form a smaller 2026 base with fast growth, supporting adaptive airflow, thermal control and rack-level reliability. Integration and lifecycle services form a recurring service layer covering retrofit engineering, commissioning and fluid-system maintenance.
  • By rack heat load, the market spans below 50 kilowatts, 50 to 100 kilowatts, 100 to 200 kilowatts and above 200 kilowatts. By deployment type, the market covers brownfield AI retrofits, greenfield AI data centers, hybrid air-liquid data halls and colocation high-density zones. By customer type, demand comes from hyperscale cloud providers, neocloud and graphics-processor-cloud operators, colocation providers, sovereign AI infrastructure, and enterprise and high-performance computing.

Competitive and Strategic Outlook

  • The competitive landscape combines diversified critical-infrastructure suppliers, specialist rack-cooling companies and server or enclosure vendors. Schneider Electric with Motivair, Vertiv, STULZ and Legrand with USystems have particularly visible AI-oriented rear-door heat exchanger portfolios. nVent, Rittal and Coolcentric compete strongly in rack-compatible retrofit systems. Delta Electronics supports rear-door heat exchangers through both CoolDoor products and high-capacity coolant distribution platforms, while Munters is positioning rear-door cooling within its broader liquid-cooling portfolio.
  • Adjacent ecosystem participants influence adoption through coolant distribution, rack integration and server compatibility. Airedale by Modine supplies coolant distribution units for hybrid and rear-door heat exchanger applications, Lenovo maintains rack-integrated rear-door options, and IBM has a long operating history with rear-door heat-exchanger deployments. Boyd, Alfa Laval and Kelvion participate in broader liquid heat-exchange and cooling infrastructure that can support customized rack-level solutions. Competitive differentiation centers on cooling capacity per rack, pressure drop, fan energy, rack compatibility, ability to retrofit, water temperature range, leak management, controls, serviceability and integration with direct-to-chip systems. Rack-level controls and leak monitoring are becoming more important as active rear-door heat exchanger adoption expands.
  • Recent developments confirm accelerating product and reference-design activity. In August 2026, Schneider Electric published updated AI thermal-management guidance describing rear-door heat exchangers as capable of capturing the remaining 20 percent of total rack heat load in direct-to-chip liquid-cooled AI architectures. In July 2026, Schneider Electric and AMD released a validated Helios reference design using Motivair rear-door heat exchangers alongside direct liquid cooling for racks up to 246 kilowatts. In February 2026, Schneider Electric highlighted ChilledDoor as a brownfield AI modernization option for H100- and H200-class graphics processing unit environments. Legrand published updated guidance on rear-door heat exchanger adoption as high rack densities and AI workloads increase pressure on room-level cooling. In January 2026, STULZ introduced an updated CyberRack Active Rear Door with increased cooling output, integrated temperature sensing and load-adaptive fan controls. During 2026, Vertiv continued global deployment of CoolLoop rear-door heat exchangers as part of its 360AI hybrid liquid-cooling architecture. Munters expanded its liquid-cooling portfolio positioning rear-door heat exchangers as a retrofit and transition path toward higher-density liquid cooling.
  • North America is the largest commercial market for AI data-center rear-door heat exchangers because the United States has a large installed base of enterprise, hyperscale and colocation facilities that are being upgraded for accelerated computing. Many of these sites cannot economically replace the complete room-cooling system each time rack density increases. Rear-door heat exchangers allow operators to add higher-density graphics processing unit racks within existing halls by intercepting heat before it reaches the room, making the technology particularly useful for phased AI expansion.
  • The supplier ecosystem is also strong. Motivair by Schneider Electric manufactures ChilledDoor systems in the United States and is integrating them into validated NVIDIA- and AMD-oriented AI reference designs. Vertiv offers CoolLoop and Liebert DCD rear-door systems as part of its 360AI portfolio. nVent and Coolcentric supply retrofit-oriented door systems, while Legrand's USystems ColdLogik platform spans passive and active configurations at very high rack densities. Lenovo continues to support water-cooled rear-door systems within its rack ecosystem, providing an information technology vendor route to adoption. Legrand USystems ColdLogik portfolio supports up to 200 kilowatts per rack, and Vertiv CoolLoop rear-door heat exchangers support configurations up to 80 kilowatts per rack.
  • Colocation facilities are an important buyer group because they need to support mixed tenants and multiple cooling architectures within the same building. Rear-door heat exchangers allow a high-density customer rack to be cooled locally while surrounding lower-density racks remain on existing room systems. The same feature makes rear-door heat exchangers useful during staged migration toward direct-to-chip cooling. Through 2032, North American demand is expected to come from brownfield graphics processing unit upgrades, hybrid liquid-cooled AI racks and new facilities designed around room-neutral rack blocks. North America leads commercial demand through hyperscale retrofits and graphics-processor-cloud deployments.
  • Europe has a long history of water-assisted rack cooling and benefits from mature suppliers including STULZ, Rittal, Legrand USystems and nVent. Asia Pacific combines rapid AI deployment with major rack and thermal-equipment manufacturing, supporting both retrofit and greenfield demand. The Middle East remains a smaller but fast-growing greenfield opportunity where hybrid rack-level cooling can reduce the mechanical footprint required for large AI campuses.

Conclusion

  • The AI data center rear-door heat exchanger systems market is positioned for strong expansion, growing from USD 0.58 billion in 2026 to USD 2.30 billion by 2032 at a compound annual growth rate of 25.8 percent. Passive rear-door heat exchangers remain attractive where server fans provide sufficient airflow through the coil, while active rear-door heat exchangers grow faster as rack heat loads and air-side pressure drops increase. Brownfield data centers are a major adoption base because rear-door heat exchangers can retrofit existing racks without rebuilding room-level air systems. AI reference designs now combine coolant distribution units, cold plates and rear-door heat exchangers as one thermal stack, supporting hybrid liquid-air architectures through multiple hardware generations. North America leads commercial demand through hyperscale retrofits and graphics-processor-cloud deployments, with Europe, Asia Pacific and the Middle East contributing through mature water-assisted cooling practices, manufacturing scale and greenfield design. Practical airflow limits at extreme density, liquid infrastructure and leak management requirements, maintenance-door opening and increasing direct-liquid heat capture remain the principal constraints. Vendors that combine cooling capacity per rack, retrofit compatibility, leak management, adaptive controls and integration with direct-to-chip systems are best positioned to capture value as rear-door cooling becomes a standard layer in hybrid AI data-center thermal architecture.

Key Benefits of this Report

  • Insightful Analysis: Detailed market insights across regions, customer segments, policies, socio-economic factors, consumer preferences, and industry verticals.
  • Competitive Landscape: Understand strategic moves by key players to identify optimal market entry approaches.
  • Market Drivers and Future Trends: Assess major growth forces and emerging developments shaping the market.
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Report Coverage

  • Historical data from 2021 to 2024, Base year 2025, and Forecast years from 2026 to 2032
  • Growth opportunities, challenges, supply chain outlook, regulatory framework, and trend analysis
  • Competitive positioning, strategies, and market share evaluation, and trade analysis
  • Revenue growth and forecast assessment across segments and regions
  • Company profiling including strategies, products, financials, and key developments

TABLE OF CONTENTS

1. Executive Summary

  • 1.1. Market Opportunity and Key Findings
  • 1.2. RDHx Adoption Timeline
  • 1.3. Principal Revenue Pools

2. Market Overview

  • 2.1. Rear-Door Heat Exchanger Operating Principle
  • 2.2. Passive versus Active RDHx
  • 2.3. Brownfield AI Retrofit Architecture
  • 2.4. Hybrid RDHx and Direct-to-Chip Cooling
  • 2.5. Room-Neutral Rack Cooling

3. Market Size and Forecast, 2026-2032

  • 3.1. Global Market Revenue
  • 3.2. Annual Growth Analysis
  • 3.3. RDHx-Cooled Rack Shipments
  • 3.4. Revenue per Rack and Cooling Capacity

4. Market by Operating Architecture

  • 4.1. Passive Rear-Door Heat Exchangers
  • 4.2. Active Rear-Door Heat Exchangers
  • 4.3. Hybrid RDHx and Direct-to-Chip Systems

5. Market by Component

  • 5.1. Heat-Exchanger Door Assemblies
  • 5.2. EC Fans and Airflow Modules
  • 5.3. Hose, Valve and Manifold Kits
  • 5.4. Controls, Sensors and Leak Monitoring
  • 5.5. Installation, Commissioning and Lifecycle Services

6. Market by Rack Heat Load

  • 6.1. Below 50 kW
  • 6.2. 50-100 kW
  • 6.3. 100-200 kW
  • 6.4. Above 200 kW

7. Market by Deployment Type

  • 7.1. Brownfield AI Retrofits
  • 7.2. Greenfield AI Data Centers
  • 7.3. Hybrid Air-Liquid Data Halls
  • 7.4. Colocation High-Density Zones

8. Market by Customer Type

  • 8.1. Hyperscale Cloud Providers
  • 8.2. Neocloud and GPU-Cloud Operators
  • 8.3. Colocation Providers
  • 8.4. Sovereign AI Infrastructure
  • 8.5. Enterprise and High-Performance Computing

9. Regional Market

  • 9.1. North America
    • 9.1.1. United States
    • 9.1.2. Canada
  • 9.2. Europe
  • 9.3. Asia Pacific
  • 9.4. Middle East and Rest of World

10. Market Dynamics

  • 10.1. Drivers
    • 10.1.1. Brownfield AI Retrofit Demand
    • 10.1.2. Residual Air Heat after Direct-to-Chip Cooling
    • 10.1.3. Rising Rack Density
    • 10.1.4. Validated Hybrid AI Reference Designs
  • 10.2. Restraints
    • 10.2.1. Practical Airflow Limits at Extreme Rack Density
    • 10.2.2. Liquid Infrastructure and Leak Management Requirements
    • 10.2.3. Maintenance-Door Opening and Contingency Cooling
    • 10.2.4. Increasing Direct-Liquid Heat Capture

11. Competitive Landscape

  • 11.1. Value Chain
  • 11.2. Active RDHx Suppliers
  • 11.3. Passive RDHx Suppliers
  • 11.4. Rack and Enclosure Integration
  • 11.5. CDU and Secondary-Loop Ecosystem
  • 11.6. AI Reference-Design Partnerships

12. Company Profiles

  • 12.1. Schneider Electric
  • 12.2. Vertiv
  • 12.3. STULZ
  • 12.4. Legrand
  • 12.5. nVent
  • 12.6. Rittal
  • 12.7. Coolcentric
  • 12.8. Delta Electronics
  • 12.9. Munters
  • 12.10. Airedale by Modine
  • 12.11. Lenovo
  • 12.12. IBM
  • 12.13. Boyd
  • 12.14. Alfa Laval
  • 12.15. Kelvion

13. Recent Developments

14. Appendix

  • 14.1. Definitions and Abbreviations
  • 14.2. RDHx Architecture Classification
  • 14.3. Rack Heat-Load and Hybrid-Cooling Framework
  • 14.4. Source and Data Notes