Liquid Cooling and AI Data Center Daily | 2026-06-11
A daily English mirror of liquid cooling, AI data center efficiency, research papers, products, policy, financing, and supply-chain signals.
1. Executive brief
This English edition mirrors the same public-source dataset used by the Chinese daily report for 2026-06-11.
- Collection window: 2026-06-10 08:00 北京时间 - 2026-06-11 08:00 北京时间.
- Coverage snapshot: 8 industry items; 3 technology items; 8 paper or white-paper items; 8 video signals.
- Current hot topics: 电力并网与能源约束, 智算中心 CapEx/扩建, 液冷路线（冷板/浸没/两相）, OCP/ASHRAE 标准进展.
- The heat score is 10/10 and should be read as a source-density signal, not as an investment indicator.
All claims should be verified against the original source links listed at the end of this report.
Academic and Industry Briefs
Papers, videos, industry updates, policy, financing, and projects are compressed into scannable tags with a title, summary, and source link.
Academic
Research papers, methods, research-oriented videos, and academic signals.
Nanofluidic osmotic generator enhanced by data center waste heat recovery…
人工智能快速发展使数据中心成为核心算力设施，但面临芯片过热与低品位余热浪费问题。纳米流体渗透发电机功率密度较低。本研究提出三级耦合能源利用方案，利用数据中心热管理中温度敏感特性，采用混合水-空气冷却服务器芯片，通过空气源热泵提升回收的低品位热能，产生热水作为渗透…
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Nanofluidic osmotic generator enhanced by data center waste heat recovery through hybrid water–air cooling with a heat pump
- Published
- 2026-05-15
- Authors
- Qin Zeng, Yu Qian, Yen-Huei Chen, Binbin Wang, Qinlong Ren
- Theme
- 余热回收
Abstract
With the rapid development of artificial intelligence technology, data centers have become essential for offering computational resources. However, data centers suffer from the challenge of overheating, with a large amount of wasted low-grade thermal energy. In addition, nanofluidic osmotic generators face the drawback of a relatively low power output. Hence, the present work proposes a three-stage coupled energy utilization scheme, leveraging the temperature-sensitive characteristics of nanofluidic osmotic generators via thermal management of a data center. A hybrid water–air cooling strategy is applied to cool down server chips, and the recovered low-grade thermal energy is upgraded using an air-source heat pump (ASHP) to generate hot water, which serves as freshwater in a nanofluidic osmotic generator to enhance its power density. When the inlet velocity of the cooling water is 0.08 m s−1 and the inlet air velocity is 4 m s−1, the theoretical operating temperature of the server component in the data center is consistently maintained below 45.53 °C. Moreover, the cooling water from the data center is further heated by an ASHP to 56.78 °C for osmotic energy conversion. Under these circumstances, the power density of the nanofluidic osmotic generator is experimentally improved from 2.674 W m−2 to 4.895 W m−2 (i.e. by 83.06%) through thermal energy recovery from the data center under a 50-fold salinity-gradient ratio at neutral pH of 7, and it can be further enhanced to 5.443 W m−2 by modulating the pH to alkaline conditions at 11. The current work offers an innovative pathway for data center thermal management and low-grade waste heat recovery with synergistic utilization of salinity-gradient energy.
Chinese interpretation
研究问题：数据中心余热浪费与渗透发电机功率不足。方法线索：提出三级耦合方案，混合水空气冷却结合热泵升级余热。对AI数据中心/液冷/算电协同的意义：将数据中心低品位热能转化为可用电力，提升整体能效并降低外部能耗。核验边界：仅基于给定摘要，未出现具体实验数值或平台结果，结论需核对原文。
Reference
Qin Zeng, Yu Qian, Yen-Huei Chen, 等. Nanofluidic osmotic generator enhanced by data center waste heat recovery through hybrid water–air cooling with a heat pump[J/OL]. Journal of Physics D: Applied Physics. (2026-05-15)[2026-06-11]. https://www.semanticscholar.org/paper/1c323af454e1606a13dad57352f2719c3e6fd2ae.
Heat transfer and flow characteristics of bionic Victoria Amazonica liqui…
原文摘要缺失，需打开论文链接核验研究方法和结论。
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Heat transfer and flow characteristics of bionic Victoria Amazonica liquid cooling plate for thermal management of chips in data centers
- Published
- 2026-06-01
- Authors
- Feng Zhou, Wenlong Gu, Wenlong Li, G. Ma
- Theme
- 芯片与算力
Abstract
Semantic Scholar did not provide an abstract for display. Open the source paper for details.
Chinese interpretation
研究问题：数据中心芯片高效液冷需求。方法线索：采用仿生王莲结构设计液冷板。对AI数据中心/液冷/算电协同的意义：探索新型液冷板对芯片热管理的潜在应用。核验边界：摘要缺失，所有内容需通过论文链接核实。
Reference
Feng Zhou, Wenlong Gu, Wenlong Li, 等. Heat transfer and flow characteristics of bionic Victoria Amazonica liquid cooling plate for thermal management of chips in data centers[J/OL]. International Communications in Heat and Mass Transfer. (2026-06-01)[2026-06-11]. https://www.semanticscholar.org/paper/11f6857398316b362b30dcdbd0b233df7100bb1e.
From Accounting to Coordination: A Virtual Water-Aware Electricity-Comput…
数据中心扩张推高电力需求与发电侧取水量，虚拟水足迹随调度动态变化。现有静态核算方法无法捕捉调度优化与负载迁移对取水的影响，也无法指导缓解水资源压力的调度决策。本研究构建电力-计算-水（ECW） nexus 运营框架，将虚拟水影响直接纳入电力系统调度与负载分配过程。
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From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatch
- Published
- 2026-05-25
- Authors
- Haiyang You, C. Lou, Jin Zhao, Yue Zhou, Lu Zhang, Jin Yang
- Theme
- 算电协同
Abstract
The expansion of data centers (DCs) drives a sustained increase in electricity demand and associated water withdrawals at generation sites. These withdrawals occur at generation sites and are virtually allocated to demand based on network power flows. Consequently, the actual water footprint of a specific load varies dynamically with generation dispatch and network conditions. Existing approaches typically rely on static statistical accounting to quantify these water footprints. However, such static methods fail to capture how dispatch optimization and workload relocation dynamically affect water withdrawals. As a result, static statistical accounting approaches remain decoupled from the optimization process, rendering them incapable of guiding workload relocation or power dispatch to mitigate water stress. To address this limitation, this paper develops an operational electricity-computation-water (ECW) nexus framework that internalizes virtual water impacts directly into power system dispatch. The framework represents dispatch optimization as a differentiable optimization layer embedded within a deep learning architecture, enabling efficient end-to-end learning of coordination policies while preserving operational feasibility. Combined with fixed-point coordination, the framework enforces consistency between virtual water attribution and physical generation-side withdrawals. Case studies on the IEEE 30-bus and 118-bus test systems demonstrate reliable convergence, exact power-water consistency, and reductions of approximately 3-5% in generation-related freshwater withdrawals under water-constrained conditions.
Chinese interpretation
研究问题：数据中心虚拟水足迹随调度动态变化却缺乏动态协调。方法线索：提出ECW nexus框架内化虚拟水影响。对AI数据中心/液冷/算电协同的意义：支持考虑水资源的算电协同调度，降低区域水压力。核验边界：仅依据摘要描述，具体模型细节需核对原文。
Reference
Haiyang You, C. Lou, Jin Zhao, 等. From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatch[J/OL]. (2026-05-25)[2026-06-11]. https://www.semanticscholar.org/paper/9710f8793abaed12e9cd346f3e28e4cc087a1cc7.
Peer-to-Peer Cloud Service Market for Data Centers Oriented to Computatio…
数据中心作为灵活负荷需实现算电协同，但现有研究忽略地理分布式数据中心间计算资源共享的协作潜力。本研究提出双层算电协同框架，首先构建点对点云服务市场实现双边交易，利用区域电价与冷却效率差异；其次嵌入节点边际电价反映网络阻塞；再次利用工作负载时空灵活性。
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Peer-to-Peer Cloud Service Market for Data Centers Oriented to Computation-Electricity Coordination
- Published
- 2026-06-03
- Authors
- Yugui Liu, Yibo Ding, Xudong Li, Jing Qu, Wenyi Zhang, T. Qian, Wuyou Xiao, Zhengyang Hu
- Theme
- 算电协同
Abstract
Energy-intensive data centers (DCs) have emerged as substantial and flexible loads in modern power systems, underscoring the critical need for computation-electricity coordination. Harnessing the spatio-temporal flexibility of DC workloads is a promising approach to facilitate this coordination. However, existing studies overlook the collaborative potential of computational resource sharing among geo-distributed DCs, thereby failing to fully unlock this flexibility. In this paper, a bi-level computation-electricity coordination framework is proposed to explicitly capture the bidirectional interactions between DCs and power grid. Firstly, a peer-to-peer cloud service market (P2P-CSM) for geo-distributed DCs is proposed, which enables bilateral cloud service transactions to leverage regional heterogeneities (e.g., electricity prices, cooling efficiency). Secondly, locational marginal prices are embedded into the framework to reflect network congestion and nodal price disparities. Thirdly, a dual consensus alternating direction method of multipliers (ADMM)-based decentralized algorithm is developed as the P2P market clearing algorithm, and a bisection-assisted iterative algorithm is proposed to ensure rigorous convergence of the framework. Case studies conducted on modified IEEE 30-bus system validate that the P2P-CSM achieves a win-win computation-electricity coordination: it not only increases total DC operational profit by 22.8\%, but also effectively alleviates grid congestion and yields a 3.2\% reduction in total energy consumption.
Chinese interpretation
研究问题：地理分布式数据中心间资源共享未被充分利用。方法线索：提出P2P云服务市场与双层协调框架。对AI数据中心/液冷/算电协同的意义：通过市场机制与价格信号实现计算与电力双向互动。核验边界：仅基于摘要，未包含具体市场交易数据或仿真结果。
Reference
Yugui Liu, Yibo Ding, Xudong Li, 等. Peer-to-Peer Cloud Service Market for Data Centers Oriented to Computation-Electricity Coordination[J/OL]. (2026-06-03)[2026-06-11]. https://www.semanticscholar.org/paper/9962e96ebd978879cc56a88a44a99bc7fe6c5653.
Revisiting "Cooler is Better": ITD-Aware Per-CPU Thermal Optimization for…
数据中心能耗接近电网约束，需优化服务器。“更冷更好”假设在现代低压CPU上不完全成立，因逆温度依赖使低温时供电电压升高，导致性能功耗比曲线非单调。本研究首次在商用Intel Xeon CPU上实测ITD特性，发现最优效率温度常高于典型运行温度，约一半高功率CPU…
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Revisiting "Cooler is Better": ITD-Aware Per-CPU Thermal Optimization for Sustainable Data Center Operation
- Published
- 2026-06-10
- Authors
- Jason Crop, Hayden Moore, Sudeep Pasricha
- Theme
- 算电协同
Abstract
As data center energy demand approaches grid-level constraints, optimizing conventional server infrastructure is essential for sustainable growth. The long-standing assumption that "cooler is better", i.e., lower CPU temperatures reduce power, does not fully hold for modern low-voltage CPUs, where inverse temperature dependence (ITD) drives higher supply voltages at lower temperatures. This creates a non-monotonic performance-per-watt curve where efficiency peaks at an intermediate thermal point. In this paper, for the first time, we empirically characterize ITD on production Intel Xeon CPUs and demonstrate that efficiency-optimal temperatures are CPU part-specific, and frequently higher than typical data center operating conditions. Measurements from commercial cloud data center platforms (Amazon, Equinix) reveal that approximately half of modern high-power CPUs operate about 10°C below their efficiency-optimal thermal point. By implementing ITD-aware thermal grouping of CPUs and inlet temperature adjustments, data center operators can optimize facility-level cooling and overall sustainability. Our case study shows that this approach can reduce total data center energy by 4-13% without sacrificing performance or reliability.
Chinese interpretation
研究问题：传统低温冷却假设不再适用于现代CPU。方法线索：实测ITD特性并提出ITD感知热分组与在线控制。对AI数据中心/液冷/算电协同的意义：通过调整运行温度提升能效，减少不必要冷却能耗。核验边界：仅依据摘要描述，未出现具体测量平台或量化结果。
Reference
Jason Crop, Hayden Moore, Sudeep Pasricha. Revisiting "Cooler is Better": ITD-Aware Per-CPU Thermal Optimization for Sustainable Data Center Operation[J/OL]. (2026-06-10)[2026-06-11]. http://arxiv.org/abs/2606.11163v1.
Space-CIM: Enabling Compute-In-Memory Accelerators for Thermally-Constrai…
AI算力需求推动数据中心扩张与能耗危机。空间轨道数据中心利用太阳能与低发射成本成为可能，但真空环境仅依赖辐射冷却，需大面积散热器，限制标准液冷/气冷系统部署。本研究分析空间热约束对GPU与存算一体加速器的影响，开发散热器闭环协同设计方法。
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Space-CIM: Enabling Compute-In-Memory Accelerators for Thermally-Constrained Space Platforms
- Published
- 2026-06-04
- Authors
- Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Cheng Wang
- Theme
- 芯片与算力
Abstract
The rapid growth in compute demand from artificial intelligence (AI) has driven a massive surge in data center construction, precipitating an energy and sustainability crisis. Motivated by the abundant solar energy in outer space and the recent sharp reduction in space launch costs, orbital data centers are emerging as a potential pathway for the future scaling of AI compute infrastructure. While the cold background in vacuum seems appealing for cooling, computing systems operating in space without convection ultimately rely on radiative cooling, requiring large-area radiators. Such limitations in thermal management pose a significant challenge for deploying the standard liquid/air-cooled computers in space. In this work, we investigate the impact of the thermal constraints in space on both graphics processing units (GPUs) with high-bandwidth memory (HBM) and the emerging compute-in-memory (CIM) accelerators. We develop a radiator-in-the-loop co-design methodology that directly links the permitted system TOPS (terra-operations per second) with the practical radiator cooling capacity in space. Our thermal simulations reveal that the separately located GPU die and HBMs create severe thermal hotspots under limited radiator capacity, necessitating GPU thermal throttling. In contrast, CIM accelerators exhibit a much more uniform heat distribution and consistently outperform GPUs in TOPS/W across a wide range of radiator budgets. We systematically evaluated the performance of CIM and GPU across various AI workloads and demonstrated that CIM has a magnified advantage for deployment in space under realistic thermal constraints.
Chinese interpretation
研究问题：空间平台热管理限制标准计算系统部署。方法线索：分析GPU与CIM加速器在辐射冷却下的表现，提出散热器协同设计。对AI数据中心/液冷/算电协同的意义：探索极端环境下的新型算力与冷却方案。核验边界：仅基于摘要，未包含具体设计参数或仿真数据。
Reference
Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Cheng Wang. Space-CIM: Enabling Compute-In-Memory Accelerators for Thermally-Constrained Space Platforms[J/OL]. (2026-06-04)[2026-06-11]. http://arxiv.org/abs/2606.05741v1.
Peer-to-Peer Cloud Service Market for Data Centers Oriented to Computatio…
数据中心作为灵活负荷需实现算电协同，但现有研究忽略地理分布式数据中心间计算资源共享的协作潜力。本研究提出双层算电协同框架，首先构建点对点云服务市场实现双边交易，利用区域电价与冷却效率差异；其次嵌入节点边际电价反映网络阻塞；再次利用工作负载时空灵活性。
展开全文
Peer-to-Peer Cloud Service Market for Data Centers Oriented to Computation-Electricity Coordination
- Published
- 2026-06-03
- Authors
- Yugui Liu, Yibo Ding, Xudong Li, Jing Qu, Wenyi Zhang, Tong Qian, Wuyou Xiao, Zhengyang Hu
- Theme
- 算电协同
Abstract
Energy-intensive data centers (DCs) have emerged as substantial and flexible loads in modern power systems, underscoring the critical need for computation-electricity coordination. Harnessing the spatio-temporal flexibility of DC workloads is a promising approach to facilitate this coordination. However, existing studies overlook the collaborative potential of computational resource sharing among geo-distributed DCs, thereby failing to fully unlock this flexibility. In this paper, a bi-level computation-electricity coordination framework is proposed to explicitly capture the bidirectional interactions between DCs and power grid. Firstly, a peer-to-peer cloud service market (P2P-CSM) for geo-distributed DCs is proposed, which enables bilateral cloud service transactions to leverage regional heterogeneities (e.g., electricity prices, cooling efficiency). Secondly, locational marginal prices are embedded into the framework to reflect network congestion and nodal price disparities. Thirdly, a dual consensus alternating direction method of multipliers (ADMM)-based decentralized algorithm is developed as the P2P market clearing algorithm, and a bisection-assisted iterative algorithm is proposed to ensure rigorous convergence of the framework. Case studies conducted on modified IEEE 30-bus system validate that the P2P-CSM achieves a win-win computation-electricity coordination: it not only increases total DC operational profit by 22.8\%, but also effectively alleviates grid congestion and yields a 3.2\% reduction in total energy consumption.
Chinese interpretation
研究问题：地理分布式数据中心间资源共享未被充分利用。方法线索：提出P2P云服务市场与双层协调框架。对AI数据中心/液冷/算电协同的意义：通过市场机制与价格信号实现计算与电力双向互动。核验边界：仅基于摘要，未包含具体市场交易数据或仿真结果。
Reference
Yugui Liu, Yibo Ding, Xudong Li, 等. Peer-to-Peer Cloud Service Market for Data Centers Oriented to Computation-Electricity Coordination[J/OL]. (2026-06-03)[2026-06-11]. http://arxiv.org/abs/2606.04981v1.
Maximizing Compute Capacity in AI Data Centers through Cooling, Energy St…
AI部署受站点电力容量限制，冷却功率随环境温度升高。本研究提出Comca框架，在有限站点电力预算下，通过冷却系统、储能与计算负载自适应协同，动态调整算力部署，避免按峰值冷却功率保守 sizing 或按低冷却功率激进 sizing 导致的容量浪费或超载。
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Maximizing Compute Capacity in AI Data Centers through Cooling, Energy Storage, and Computing Adaptation
- Published
- 2026-05-30
- Authors
- Shaolei Ren, Mohammad A. Islam, Adam Wierman
- Theme
- 热管理与液冷
Abstract
The deployment of artificial intelligence is increasingly constrained by limited site-level power capacity, which must support both compute systems and non-compute systems (primarily cooling) at all times. Cooling power demand, especially in non-evaporative cooling systems, can increase substantially with ambient temperature in the summer, producing recurring periods of elevated cooling power that often lasts for multiple hours per day. Therefore, maximizing compute capacity under a limited site-level power budget is an important planning and operational challenge. Sizing the compute system conservatively based on peak cooling power can leave part of the site-level power capacity underutilized when the cooling power is below its peak, particularly in cooler months. On the other hand, sizing the compute system aggressively based on low cooling power can cause the total site-level power demand to exceed the site-level power capacity during hot days in the summer. This paper proposes ComputeAmp (Compute Amplifier), a framework that maximizes the compute capacity by jointly and dynamically leveraging cooling, battery energy storage, and computing-based adaptation. We discuss the opportunities and limitations of ComputeAmp and illustrate its potential to significantly expand usable compute capacity within local power and water resource limits. We also present a problem formulation for ComputeAmp and highlight a few algorithmic and operational challenges.
Chinese interpretation
研究问题：站点电力容量受夏季高峰冷却功率制约。方法线索：提出Comca框架实现冷却、储能与计算三者自适应协调。对AI数据中心/液冷/算电协同的意义：提升站点电力利用率，增加可用算力。核验边界：仅依据摘要，未出现具体容量数值或实验平台结果。
Reference
Shaolei Ren, Mohammad A. Islam, Adam Wierman. Maximizing Compute Capacity in AI Data Centers through Cooling, Energy Storage, and Computing Adaptation[J/OL]. (2026-05-30)[2026-06-11]. http://arxiv.org/abs/2606.00457v1.
Stanford Energy Seminar | Allocating electricity
Stanford ENERGY · Query: AI datacenter power grid university lecture。Useful as technical or research context.
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Webinar Recording: Next Generations – Data Center Cooling Technologies
ASHRAE Pyramids Chapter · Query: data center thermal management seminar。Useful as technical or research context.
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Data Center Power Chain - Animation
TechTrainerNJ · Query: AI datacenter power grid university lecture。Useful as technical or research context.
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IAP 2026: Modeling Energy Systems for a Data Center Driven Future - Pablo…
MIT Video Productions · Query: AI datacenter power grid university lecture。Useful as technical or research context.
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电力并网与能源约束
Same-source item from the Chinese report. Verify details against the original linked source: 电力并网与能源约束
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智算中心 CapEx/扩建
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心 CapEx/扩建
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液冷路线（冷板/浸没/两相）
Same-source item from the Chinese report. Verify details against the original linked source: 液冷路线（冷板/浸没/两相）
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Industry
Industry news, products, policy, financing, projects, and market-oriented videos.
AI 算力基础设施动态：NVIDIA Blog 发布相关报道（原文标题：NVIDIA Confidential Computing to Help…
Same-source item from the Chinese report. Verify details against the original linked source: AI 算力基础设施动态：NVIDIA Blog 发布相关报道（原文标题：NV…
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数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：Data center firm Bitzero joins …
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：Data Center Dynamics 发布相关报道（原…
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数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：The great realignment: Europe, …
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数据中心产业动态：Data Center Dynamics 发布相关报道，涉及 $9.5bn（原文标题：Switch increases debt…
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数据中心产业动态：Data Center Dynamics 发布相关报道，涉及 300MW、$3bn（原文标题：Ignis to build Da…
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：Data Center Dynamics 发布相关报道，涉…
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电力与能源约束观察：Data Center Dynamics 发布相关报道，涉及 200MW（原文标题：Viridor and Rivington…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Dynamics 发布相关报道，…
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电力与能源约束观察：Data Center Dynamics 发布相关报道，涉及 168MW、900MW（原文标题：Meta inks deal …
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Dynamics 发布相关报道，…
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电力与能源约束观察：Data Center Dynamics 发布相关报道，涉及 322MW（原文标题：Voltalia secures 322M…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Dynamics 发布相关报道，…
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数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：Trio of Republicans call for FB…
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：Data Center Dynamics 发布相关报道（原…
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液冷与热管理进展：Data Center Dynamics 发布相关报道，涉及 300kW（原文标题：Nidec develops 300kW i…
Same-source item from the Chinese report. Verify details against the original linked source: 液冷与热管理进展：Data Center Dynamics 发布相关报道，涉…
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电力与能源约束观察：Data Center Knowledge 发布相关报道（原文标题：Will the EU’s Data Center Eff…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Knowledge 发布相关报道…
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电力与能源约束观察：Data Center Knowledge 发布相关报道（原文标题：Industry Groups Launch AI Dat…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：Data Center Knowledge 发布相关报道…
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电力与能源约束观察：HPCwire 发布相关报道（原文标题：NEMA, ASHRAE and PNNL Release AI Data Cente…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：HPCwire 发布相关报道（原文标题：NEMA, AS…
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投融资、财报或公司动态：The Register 发布相关报道（原文标题：Brussels' datacenter efficiency scor…
Same-source item from the Chinese report. Verify details against the original linked source: 投融资、财报或公司动态：The Register 发布相关报道（原文标题：B…
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项目、采购或专利线索：Data Center Dynamics 发布相关报道（原文标题：University of Bonn to get new…
Same-source item from the Chinese report. Verify details against the original linked source: 项目、采购或专利线索：Data Center Dynamics 发布相关报道…
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OCP 2020 Virtual Summit: Managing Barbeques in Data Centers with Sustaina…
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
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OCP AI/ML Physical Infra Workshop 2 Workshop call (May 15, 2025)
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
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OCP Data Center Engineering Workshop - 3/10/15
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
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OCPREG19 - Building and Operating an OCP Data Center at Small Scale
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
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产业热度指数 10/10
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NVIDIA Blackwell/GB200/GB300
Same-source item from the Chinese report. Verify details against the original linked source: NVIDIA Blackwell/GB200/GB300
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AI 芯片供给与交付
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智算中心 CapEx/扩建
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心 CapEx/扩建
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4. Video signals
Stanford Energy Seminar | Allocating electricity
专家讲座 · Stanford ENERGY · Query: AI datacenter power grid university lecture
Open on YouTubeWebinar Recording: Next Generations – Data Center Cooling Technologies
专家讲座 · ASHRAE Pyramids Chapter · Query: data center thermal management seminar
Open on YouTubeData Center Power Chain - Animation
专家讲座 · TechTrainerNJ · Query: AI datacenter power grid university lecture
Open on YouTubeIAP 2026: Modeling Energy Systems for a Data Center Driven Future - Pablo Duenas (1/27/26)
专家讲座 · MIT Video Productions · Query: AI datacenter power grid university lecture
Open on YouTubeOCP 2020 Virtual Summit: Managing Barbeques in Data Centers with Sustainability; Adaptability
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeOCP AI/ML Physical Infra Workshop 2 Workshop call (May 15, 2025)
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeOCP Data Center Engineering Workshop - 3/10/15
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeOCPREG19 - Building and Operating an OCP Data Center at Small Scale
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeSources
Collection notes
- 论文池：已从本地论文池读取 16 条候选；池更新时间 2026-06-11 08:38。
- x.ai 论文解读：已使用 grok-4.3 为 8 篇论文生成中文摘要、解读与图片提示词。
- x.ai 论文配图：已使用 grok-imagine-image-quality 生成 8 张论文摘要配图。
- AI 分析：已使用 x.ai grok-4.3 生成中文结构化研判；模型输入仅限本页列出的来源标题、摘要、指标和论文信息，x.ai 不作为事实来源。
- When optional automation services are unavailable, this page uses traceable public sources and conservative rule-based summaries only; unverifiable facts are not filled in.