Liquid Cooling and AI Data Center Daily | 2026-09-13
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 2026-09-13.
- Collection window: 2026-09-12 08:00 北京时间 - 2026-09-13 08:00 北京时间.
- Coverage snapshot: 8 industry items; 1 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, AI 芯片供给与交付, 液冷路线（冷板/浸没/两相）.
- The heat score is 9/10 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.
From Grid to Chip: Power Architecture, Stability, and Flexibility of AI D…
The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their…
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From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers
- Published
- 2026-09-10
- Authors
- No reliable data
- Theme
- 算电协同
Abstract
The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their deployment is primarily constrained by energy availability and grid-connection capacity, which is further aggravated by the ability of power-delivery architectures, control systems, and computing workloads to operate reliably during fast grid disturbances. This article presents a technological perspective on AI data centers as grid-interactive computing systems. First, it reviews grid-integration bottlenecks, evolving connection policies, grid-code requirements, which has fostered new technological trends via spatio-temporal flexibility available through workload orchestration, cooling systems, on-site resources, and energy storage. Second, it maps the evolution of power-delivery architectures from medium-voltage grid interfaces to chip-level, discussing higher-voltage DC distribution, solid-state transformers, wide-bandgap devices, advanced chip-level power delivery, and liquid cooling. Third, it establishes a three-level stability framework spanning rack-level DC-bus dynamics, facility-level converter interactions, and system-level grid-coupled behavior. The framework connects dominant instability mechanisms, including constant power load effects, impedance interactions, forced oscillations, and operating-mode transitions, with suitable modeling, assessment, and mitigation approaches. Synthesizing these topics, this article highlights grid-to-chip co-design as a central requirement for scalable AI infrastructure, linking computing workloads, power-delivery systems, energy buffers, and grid operation.
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，算力负载与电网侧资源的协同调度正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用综述归纳和指标比较，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断智算中心建设是否受电网容量、负载波动和调度机制约束。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
佚名. From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers[J/OL]. (2026-09-10)[2026-09-13]. https://www.semanticscholar.org/paper/c8e54ad09e85b71cf3939c1e5fb4b9bb6ae1dc49.
THz-SynC: Collective Synthesis with Contextual-Bandit-Assisted Coordinati…
Terahertz (THz) wireless interconnects offer high-capacity, low-latency, and energy
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THz-SynC: Collective Synthesis with Contextual-Bandit-Assisted Coordination for Reconfigurable Hybrid Optical-THz AI Datacenters
- Published
- 2026-09-03
- Authors
- Jingting Jiang, Chong Han
- Theme
- 热管理与液冷
Abstract
Terahertz (THz) wireless interconnects offer high-capacity, low-latency, and energy
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用文献摘要中的模型、实验或案例分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Jingting Jiang, Chong Han. THz-SynC: Collective Synthesis with Contextual-Bandit-Assisted Coordination for Reconfigurable Hybrid Optical-THz AI Datacenters[J/OL]. (2026-09-03)[2026-09-13]. https://arxiv.org/abs/2609.04025.
Spatial LLM Workload Shifting Needs Foresight: Model Commitment for AI Da…
AI data centers may face power supply shortages during certain periods, requiring operators to shift large language model (LLM) inf…
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Spatial LLM Workload Shifting Needs Foresight: Model Commitment for AI Data Center Operation under Power Grid Constraints
- Published
- 2026-09-09
- Authors
- Bojun Du, Hongyang Jia, Tonghui Li, Qingchun Hou, Ze Wang, Ershun Du, Ning Zhang
- Theme
- 算电协同
Abstract
AI data centers may face power supply shortages during certain periods, requiring operators to shift large language model (LLM) inference workloads spatially to maintain service rates. However, existing workload-shifting methods typically assume that any data center with sufficient computing resources can immediately serve shifted requests, which may lead to infeasible transfers and unserved demand. This letter proposes model commitment (MC), a mixed-integer linear programming framework that jointly schedules model deployment and cross-site request routing under power constraints and electricity-price signals. First, MC formulates the intertemporal coupling introduced by model replica loading. Second, it translates prefill and decode latency requirements into the amount of demand that each replica can serve. Case studies based on real-world data show that MC enables AI data center operators to achieve a 100% service rate under time-varying grid conditions and reduce total operating cost by 29.0%.
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，算力负载与电网侧资源的协同调度正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用框架构建和频域/系统级分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断智算中心建设是否受电网容量、负载波动和调度机制约束。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Bojun Du, Hongyang Jia, Tonghui Li, 等. Spatial LLM Workload Shifting Needs Foresight: Model Commitment for AI Data Center Operation under Power Grid Constraints[J/OL]. (2026-09-09)[2026-09-13]. http://arxiv.org/abs/2609.09787v1.
A High- and Variable-Dimensional Measurement of the $Z$+jets Differential…
Proton-proton collisions at the Large Hadron Collider (LHC) offer the opportunity to observe the interactions of fundamental partic…
Expand
A High- and Variable-Dimensional Measurement of the $Z$+jets Differential Cross Section with the ATLAS Experiment and Artificial Intelligence
- Published
- 2026-08-28
- Authors
- Kevin Greif
- Theme
- 热管理与液冷
Abstract
Proton-proton collisions at the Large Hadron Collider (LHC) offer the opportunity to observe the interactions of fundamental particles at very high energy
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用实验验证、原型测试或测量对比，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Kevin Greif. A High- and Variable-Dimensional Measurement of the $Z$+jets Differential Cross Section with the ATLAS Experiment and Artificial Intelligence[J/OL]. (2026-08-28)[2026-09-13]. https://arxiv.org/abs/2608.28449.
Grid-Mode-Aware Model Predictive Control of Hybrid Energy Storage Systems…
To facilitate the grid-friendly integration of highly variable AI
Expand
Grid-Mode-Aware Model Predictive Control of Hybrid Energy Storage Systems for AI Data Center Power Smoothing
- Published
- 2026-09-03
- Authors
- Xin Chen
- Theme
- 算电协同
Abstract
To facilitate the grid-friendly integration of highly variable AI
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，算力负载与电网侧资源的协同调度正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用仿真建模和情景分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断智算中心建设是否受电网容量、负载波动和调度机制约束。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Xin Chen. Grid-Mode-Aware Model Predictive Control of Hybrid Energy Storage Systems for AI Data Center Power Smoothing[J/OL]. (2026-09-03)[2026-09-13]. https://arxiv.org/abs/2609.04398.
A Closed-Loop Thermal Dynamic Model for AI Data Center Cooling Load Simul…
Cooling
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A Closed-Loop Thermal Dynamic Model for AI Data Center Cooling Load Simulation
- Published
- 2026-08-31
- Authors
- Cletus Ngwerume, Lang Tong, Chee-Wooi Ten, Yi Hu
- Theme
- 热管理与液冷
Abstract
Cooling
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用仿真建模和情景分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Cletus Ngwerume, Lang Tong, Chee-Wooi Ten, 等. A Closed-Loop Thermal Dynamic Model for AI Data Center Cooling Load Simulation[J/OL]. (2026-08-31)[2026-09-13]. https://arxiv.org/abs/2607.28962.
Shift or curtail? How much data-center flexibility is worth depends on th…
Data-center growth risks overbuilding power grid infrastructure and stranding capital. Flexible data-center operation can defer inf…
Expand
Shift or curtail? How much data-center flexibility is worth depends on the host power grid
- Published
- 2026-08-20
- Authors
- Saroj Khanal, Geon Roh, Boyu Yao, Abraham Silverman, Dennice Gayme, Charalambos Konstantinou, Jip Kim, Yury Dvorkin
- Theme
- 算电协同
Abstract
Data-center growth risks overbuilding power grid infrastructure and stranding capital. Flexible data-center operation can defer infrastructure investments, but its value depends on the flexibility mechanism and the host power grid characteristics. We classify data-center load as firm, flexible or interruptible, and embed them in capacity expansion applied to market-organized, fossil-heavy PJM and carbon-capped, centrally coordinated Korea. In PJM, the flexibility value is spatial: shifting workloads between zones reduces system cost by 6% in 2028 and 19% in 2038, avoiding 4.4 GW and 8.9 GW of gas and nuclear generation. In Korea, it is temporal: shifting load into midday solar hours makes 0.5 GW of additional solar worth building in 2028 and avoids 1.2 GW of gas and 0.3 GW of batteries in 2038. In both, realistic event-shape limits diminish the value of curtailment. The results show that flexibility procurement and its value are driven by grid characteristics and policy objectives.
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，算力负载与电网侧资源的协同调度正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用文献摘要中的模型、实验或案例分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断智算中心建设是否受电网容量、负载波动和调度机制约束。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Saroj Khanal, Geon Roh, Boyu Yao, 等. Shift or curtail? How much data-center flexibility is worth depends on the host power grid[J/OL]. (2026-08-20)[2026-09-13]. http://arxiv.org/abs/2608.19622v1.
Data Center Life Cycle Co-Design Optimization
Liquid
Expand
Data Center Life Cycle Co-Design Optimization
- Published
- 2026-08-19
- Authors
- Shrenik Jadhav, Vidhyashree Nagaraju, Zheng Liu
- Theme
- 热管理与液冷
Abstract
Liquid
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用建模优化、调度分析或算法评估，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Shrenik Jadhav, Vidhyashree Nagaraju, Zheng Liu. Data Center Life Cycle Co-Design Optimization[J/OL]. (2026-08-19)[2026-09-13]. https://arxiv.org/abs/2606.15408.
"High Capacity, Energy Efficient Interconnects for Data Centers" - John B…
The Institute for Energy Efficiency · Query: IEEE data center energy efficiency lecture。Useful as technical or research context.
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Grid Integration Challenges Renewable Penetration, Inertia Reduction, and…
Engineering College of Technology · Query: AI datacenter power grid university lecture。Useful as technical or research context.
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The Entire AI Data Center Explained — From Electricity to ChatGPT
Leo Cui, Ph.D., CFA · Query: AI datacenter power grid university lecture。Useful as technical or research context.
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Why One AI Data Center Can Draw 100 Megawatts
AutoTicks · Query: AI datacenter power grid university lecture。Useful as technical or research context.
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AI Is Becoming an Infrastructure Problem — 3D
ATLAS CORE · 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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AI 芯片供给与交付
Same-source item from the Chinese report. Verify details against the original linked source: AI 芯片供给与交付
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Industry
Industry news, products, policy, financing, projects, and market-oriented videos.
电力与能源约束观察：Data Center Dynamics 发布相关报道，涉及 120MW（原文标题：Plans for 120MW data …
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：Orbital partners with Reflex Ae…
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，涉及 38GW、12GW（原文标题：Microsoft targets …
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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AI 算力基础设施动态：Data Center Dynamics 发布相关报道，涉及 000 GPU（原文标题：Oracle delivered …
Same-source item from the Chinese report. Verify details against the original linked source: AI 算力基础设施动态：Data Center Dynamics 发布相关报…
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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：Amid data center public backlas…
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，涉及 $1.1bn（原文标题：Australia's NextDC ra…
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（原文标题：DCD Talks: Powering US data ce…
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（原文标题：Nostrum's data center in Badaj…
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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技术与产品进展：Data Center Knowledge 发布相关报道（原文标题：The AI Data Center Boom Is Here…
Same-source item from the Chinese report. Verify details against the original linked source: 技术与产品进展：Data Center Knowledge 发布相关报道（原…
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政策、标准或能效观察：Data Center Knowledge 发布相关报道（原文标题：Beyond WUE: Assessing Data C…
Same-source item from the Chinese report. Verify details against the original linked source: 政策、标准或能效观察：Data Center Knowledge 发布相关报…
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ACS Door Heat Exchanger Sub Project Updates
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
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Best Practise for Data Centres - Ashrae Learning Institute Course (Dr. Ro…
Interact Media Defined IMD · Query: ASHRAE data center cooling webinar。Useful for product, market, or deployment context.
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Open Compute (OCP) Project, Data Center Cooling - CORECHEM Inc.
CORECHEM Inc. · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
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产业热度指数 9/10
Same-source item from the Chinese report. Verify details against the original linked source: 产业热度指数 9/10
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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
Same-source item from the Chinese report. Verify details against the original linked source: 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
"High Capacity, Energy Efficient Interconnects for Data Centers" - John Bowers
学术讲座 · The Institute for Energy Efficiency · Query: IEEE data center energy efficiency lecture
Open on YouTubeGrid Integration Challenges Renewable Penetration, Inertia Reduction, and the Rise of AI Data Center
专家讲座 · Engineering College of Technology · Query: AI datacenter power grid university lecture
Open on YouTubeThe Entire AI Data Center Explained — From Electricity to ChatGPT
专家讲座 · Leo Cui, Ph.D., CFA · Query: AI datacenter power grid university lecture
Open on YouTubeWhy One AI Data Center Can Draw 100 Megawatts
专家讲座 · AutoTicks · Query: AI datacenter power grid university lecture
Open on YouTubeACS Door Heat Exchanger Sub Project Updates
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeBest Practise for Data Centres - Ashrae Learning Institute Course (Dr. Roger R. Schmidt)
标准组织讲座 · Interact Media Defined IMD · Query: ASHRAE data center cooling webinar
Open on YouTubeOpen Compute (OCP) Project, Data Center Cooling - CORECHEM Inc.
行业论坛 · CORECHEM Inc. · Query: OCP data center cooling workshop
Open on YouTubeAI Is Becoming an Infrastructure Problem — 3D
专家讲座 · ATLAS CORE · Query: AI datacenter power grid university lecture
Open on YouTubeSources
Collection notes
- 公开 RSS/Atom：NVIDIA Blog：未检索到符合条件的高相关条目。
- 论文池：已从本地论文池读取 22 条候选；池更新时间 2026-09-13 03:52。
- YouTube：检索失败，原因：fetch failed
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- When optional automation services are unavailable, this page uses traceable public sources and conservative rule-based summaries only; unverifiable facts are not filled in.