Liquid Cooling and AI Data Center Daily | 2026-08-30
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 2026-08-30.
- Collection window: 2026-08-29 08:00 北京时间 - 2026-08-30 08:00 北京时间.
- Coverage snapshot: 8 industry items; 6 technology items; 8 paper or white-paper items; 8 video signals.
- Current hot topics: 智算中心 CapEx/扩建, 电力并网与能源约束, NVIDIA Blackwell/GB200/GB300, AI 芯片供给与交付.
- 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.
Quantifying AI data center nitrogen oxide (NO$_x$) emissions from space
AI data center power demand is spurring rapid deployment of on- and near-site natural gas turbines. Nitrogen oxide (NO$_x$) polluti…
Expand
Quantifying AI data center nitrogen oxide (NO$_x$) emissions from space
- Published
- 2026-08-23
- Authors
- Kevin D. Gauld, Daniel J. Varon, Nicholas Balasus, Daniel H. Cusworth
- Theme
- AI 运维优化
Abstract
AI data center power demand is spurring rapid deployment of on- and near-site natural gas turbines. Nitrogen oxide (NO$_x$) pollution from this equipment is a growing concern but has not previously been quantified with atmospheric observations. Here we demonstrate space-based detection and quantification of NO$_x$ emissions from the SpaceXAI Colossus 2 power plant in Southaven, Mississippi. Using observations from the geostationary TEMPO satellite instrument, we detect a strong increase in local mean NO$_2$ column concentrations after the plant began operations in late 2025. We then use TEMPO to estimate two-week-average NO$_x$ source rates from August 2025 to mid-August 2026, calibrating against continuous emission monitoring system (CEMS) data from US power plants. TEMPO first detected NO$_x$ emissions in December 2025 at 460$\pm$180 kg h$^{-1}$. We find that emissions increased through August 2026, averaging 730$\pm$185 kg h$^{-1}$ after February 2026, roughly 16 times higher than expected from the facility's March 2026 permit for 41 turbines operating under best available control technology (BACT) requirements ($\sim$47 kg h$^{-1}$). Emissions at the expected level would be undetectable by our TEMPO analysis.
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，AI 运维、负载预测和设施调优正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用仿真建模和情景分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向AI 负载波动对电网设备寿命和调频边界的影响。意义：对日报读者而言，它可用于判断AI 工具是否能降低运维复杂度并提升可用性。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Kevin D. Gauld, Daniel J. Varon, Nicholas Balasus, 等. Quantifying AI data center nitrogen oxide (NO$_x$) emissions from space[J/OL]. (2026-08-23)[2026-08-30]. http://arxiv.org/abs/2608.22153v1.
Real-Time Edge-based Detection of Correlated AI Data-Center Load Episodes
Artificial-intelligence data centers running bulk-synchronous training can impose sub-second power swings. When several facilities …
Expand
Real-Time Edge-based Detection of Correlated AI Data-Center Load Episodes
- Published
- 2026-08-24
- Authors
- Chandan Chaudhary, Abanish Tiwari, Yansong Pei, Mohammed Ben-Idris, Joydeep Mitra
- Theme
- 算电协同
Abstract
Artificial-intelligence data centers running bulk-synchronous training can impose sub-second power swings. When several facilities synchronize their training cycles, these load variations become spatially correlated and amplify the aggregate disturbance on the grid. A grid operator without access to data-center telemetry must infer this correlation from electrical measurements alone. However, the required observation time and the feasibility of detection on substation-deployable hardware remain uncharacterized. This paper develops a correlation-based detection method to classify the multi-facility operating regime from cross-facility power measurements. Analytical derivations and experimental validation show that the resulting detection confidence increases with the observation-window length at a rate governed by the load correlation time. The method is demonstrated in a real-time hardware-in-the-loop testbed, where load setpoints generated from a validated semi-Markov data-center load model are applied to an electromagnetic-transient grid simulation on a Real-Time Digital Simulator. A compact classifier built on pairwise power correlations runs on an edge device in this loop and determines whether the data-center load variations are independent or spatially correlated. The cross-facility correlation separates the independent and correlated cases across independent realizations. The held-out detection accuracy improves with the observation window, consistent with the predicted relation. A raw-waveform network fails to generalize, supporting pairwise correlation as the discriminative signal. The detector executes in real time on commodity edge hardware. A closed-loop demonstration against the running simulator tracks a regime change within one observation window.
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
Chandan Chaudhary, Abanish Tiwari, Yansong Pei, 等. Real-Time Edge-based Detection of Correlated AI Data-Center Load Episodes[J/OL]. (2026-08-24)[2026-08-30]. http://arxiv.org/abs/2608.22719v1.
ClusterBench: A Framework for Cluster-Wide Continuous Benchmarking and Re…
Data
Expand
ClusterBench: A Framework for Cluster-Wide Continuous Benchmarking and Regression Testing
- Published
- 2026-08-11
- Authors
- Aditya Ujeniya, Jan Eitzinger, Thomas Gruber, Georg Hager, Gerhard Wellein
- Theme
- 热管理与液冷
Abstract
Data
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
Aditya Ujeniya, Jan Eitzinger, Thomas Gruber, 等. ClusterBench: A Framework for Cluster-Wide Continuous Benchmarking and Regression Testing[J/OL]. (2026-08-11)[2026-08-30]. https://arxiv.org/abs/2608.10956.
Beyond the Grid: Cost, Carbon, and Capital Requirements of On-Site Power …
Interconnection queues, not electricity prices, now govern where data centers can be built, and the standard levelized-cost compari…
Expand
Beyond the Grid: Cost, Carbon, and Capital Requirements of On-Site Power Technologies for AI Data Centers
- Published
- 2026-08-08
- Authors
- Eliseo Curcio
- Theme
- 算电协同
Abstract
Interconnection queues, not electricity prices, now govern where data centers can be built, and the standard levelized-cost comparison answers a question no developer faces: it assumes a load profile, freezes the grid price while modeling the demand that moves it, and quotes busbar costs a facility cannot buy. This paper evaluates nine on-site supply technologies against a delivered grid whose price is endogenous to projected data-center demand, on a complete-site basis that retains standby charges, with measured GPU training load, delivered fuel prices, production-pathway carbon, and statutory 45V and 48E incentive mechanics. Nothing beats the wire: gas combined cycle produces at 47 USD/MWh but costs about 114 USD per megawatt-hour of complete site energy against a 92 USD grid; four-hour storage is physically capped near 18 percent of annual energy and, charged at the margin, dirtier than the grid; hydrogen from grid-priced power fails on cost and carbon together. An investment inversion converts these findings into capital terms: conversion-hardware learning buys nothing, because free hardware still exceeds the grid for every low-carbon arm, while global electrolyser deployment on sited sub-20 USD/MWh power brings PEM hydrogen power to about 2.2 times the grid at 300 billion USD and 1.9 times at 1 trillion USD (2.7 and 2.3 for the hydrogen engine), with a carbon reduction of roughly 85 percent (6.8-fold) against grid-power production. Grid parity is not purchasable at any budget. On-site supply is an access and depth product; most current investment targets the wrong term.
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
Eliseo Curcio. Beyond the Grid: Cost, Carbon, and Capital Requirements of On-Site Power Technologies for AI Data Centers[J/OL]. (2026-08-08)[2026-08-30]. http://arxiv.org/abs/2608.08170v1.
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)[2026-08-30]. https://arxiv.org/abs/2606.15408.
A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Seco…
Artificial intelligence (AI) data centers are driving rapid electricity load growth across all U.S. ISO/RTO regions, raising both s…
Expand
A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Second-Life Battery Investment under AI Data-Center Load Growth
- Published
- 2026-08-05
- Authors
- Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi, Marcus Chen I Wada, Wencong Su
- Theme
- 算电协同
Abstract
Artificial intelligence (AI) data centers are driving rapid electricity load growth across all U.S. ISO/RTO regions, raising both system costs and carbon exposure. This study develops a three-level Stackelberg--Bayesian game in which a regulator (leader) sets carbon penalties and subsidies, a single ISO capacity market clears against an energy balance modeled as a classical generation-expansion problem, and technology-specific investors (followers) decide capacity and operation under incomplete information, yielding a Bayesian Nash equilibrium. The AI impact is captured parsimoniously as an additional load-growth factor on a greenfield-incremental expansion, isolating how much new capacity the growth pulls in and which technology fills it. Within this framework, we consider second-life battery (SLB) storage competing against new/first-life storage for capacity-market revenue. We quantify how a carbon tax, a renewable subsidy, and an SLB subsidy reshape the equilibrium investment mix, carbon emissions, and profit. Different scenarios are compared at the end based on cost-effectiveness and reduced carbon emissions.
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
Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi, 等. A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Second-Life Battery Investment under AI Data-Center Load Growth[J/OL]. (2026-08-05)[2026-08-30]. http://arxiv.org/abs/2608.03989v1.
Towards Terabit/$λ$/s Multidimensional Silicon Photonic Engine
Increasing artificial intelligence ( AI
Expand
Towards Terabit/$λ$/s Multidimensional Silicon Photonic Engine
- Published
- 2026-08-12
- Authors
- Hao Chen, Zengqi Chen, Wu Zhou, Kaihang Lu, Mingyuan Zhang, Yuxiang Yin, Yiou Cui, Chaoran Huang
- Theme
- 热管理与液冷
Abstract
Increasing artificial intelligence ( AI
Chinese interpretation
背景：AI 数据中心负载、功率密度和能源约束同步上升，液冷、热管理和数据中心能效正在成为智算中心设计的关键变量。问题：论文聚焦现有方案在效率、可靠性或工程协同上的瓶颈。方法：摘要显示作者采用文献摘要中的模型、实验或案例分析，把运行负载、冷却/能源系统和基础设施约束放在同一分析框架中。结果：研究重点指向冷却效率、能源利用或运维策略的改进方向。意义：对日报读者而言，它可用于判断液冷方案、热管理路线和高密度部署节奏。仍需结合全文实验条件、样本范围和成本假设核验。
Reference
Hao Chen, Zengqi Chen, Wu Zhou, 等. Towards Terabit/$λ$/s Multidimensional Silicon Photonic Engine[J/OL]. (2026-08-12)[2026-08-30]. https://arxiv.org/abs/2608.11639.
InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
The rapid growth of LLM inference is shifting sustainability concerns from one-time training to continuous serving, where infrastru…
Expand
InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
- Published
- 2026-08-13
- Authors
- Nicoletta Tsiopani, Moysis Symeonides, George Pallis, Marios D. Dikaiakos
- Theme
- 算电协同
Abstract
The rapid growth of LLM inference is shifting sustainability concerns from one-time training to continuous serving, where infrastructure decisions shape energy use, carbon emissions, water consumption, and service quality. Yet operators often need to compare deployment alternatives before large-scale infrastructure is built, making direct measurement costly, slow, and sometimes infeasible. We present InFactPlanner, a trace-driven decision-support framework for what-if analysis of sustainable AI data center deployment for LLM inference across single and geo-distributed sites. InFactPlanner combines query traces, hardware-model profiles, candidate site configurations, PUE/WUE parameters, renewable generation models, and time-varying grid carbon intensity to estimate power, energy, carbon emissions, water use, latency, and server utilization. The framework abstracts low-level serving effects into configurable hardware-model profiles, enabling rapid comparison of site selection, capacity placement, hardware, model, renewable integration, and routing choices. We validate the energy accounting pipeline by reproducing reference LLM inference energy estimates with less than 10% deviation, evaluate scalability across multiple data centers and server counts, and demonstrate scenario-driven decision analyses for hardware selection, renewable placement, geographic deployment, and carbon-aware routing. Our results show that sustainability-optimal choices can differ from latency-optimal ones, and that the carbon value of deployment depends strongly on the local grid mix.
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
Nicoletta Tsiopani, Moysis Symeonides, George Pallis, 等. InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers[J/OL]. (2026-08-13)[2026-08-30]. http://arxiv.org/abs/2608.12915v1.
Understanding data centre electricity use
IEA Webinars · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
Webinar Recording: Next Generations – Data Center Cooling Technologies
ASHRAE Pyramids Chapter · Query: data center thermal management seminar。Useful as technical or research context.
Expand
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.
Expand
How AI Data Centers Work & The Entry-Level Tech Job Without Coding
Cloud Strategy Labs · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
The balancing act of AI data centers and energy #iqt #podcast
IQT · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
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
展开全文
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
展开全文
NVIDIA Blackwell/GB200/GB300
Same-source item from the Chinese report. Verify details against the original linked source: NVIDIA Blackwell/GB200/GB300
Expand
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，涉及 72 w（原文标题：With Groq 3 LPX in Full Produ…
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，涉及 72 w…
展开全文
AI 算力基础设施动态：NVIDIA Blog 发布相关报道（原文标题：Up to 30x More Work Per Watt: NVIDIA …
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：Up…
展开全文
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：From pressure to proof: Leading…
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…
展开全文
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：UK Green Party calls for nation…
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…
展开全文
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：X2M sets up dedicated data cent…
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…
展开全文
智算中心/数据中心建设进展：Data Center Dynamics 发布相关报道（原文标题：atNorth signs contract wit…
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心/数据中心建设进展：Data Center Dynamics 发布相…
展开全文
电力与能源约束观察：Data Center Dynamics 发布相关报道（原文标题：New Jersey governor signs law …
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（…
展开全文
智算中心/数据中心建设进展：Data Center Dynamics 发布相关报道，涉及 15MW（原文标题：Digital Realty bre…
Same-source item from the Chinese report. Verify details against the original linked source: 智算中心/数据中心建设进展：Data Center Dynamics 发布相…
展开全文
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：Alibaba Cloud launches its firs…
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…
展开全文
数据中心产业动态：The Register 发布相关报道（原文标题：AWS mumbles about its cost-busting netw…
Same-source item from the Chinese report. Verify details against the original linked source: 数据中心产业动态：The Register 发布相关报道（原文标题：AWS …
展开全文
技术与产品进展：Data Center Dynamics 发布相关报道（原文标题：Trump admin considers more semic…
Same-source item from the Chinese report. Verify details against the original linked source: 技术与产品进展：Data Center Dynamics 发布相关报道（原文…
展开全文
技术与产品进展：Data Center Dynamics 发布相关报道（原文标题：ESDS Software Solution targets R…
Same-source item from the Chinese report. Verify details against the original linked source: 技术与产品进展：Data Center Dynamics 发布相关报道（原文…
展开全文
电力与能源约束观察：Data Center Knowledge 发布相关报道，涉及 100 kW（原文标题：AI Rack Density’s R…
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…
展开全文
液冷与热管理进展：Data Center Knowledge 发布相关报道（原文标题：Liquid Cooling Options: RDHx, …
Same-source item from the Chinese report. Verify details against the original linked source: 液冷与热管理进展：Data Center Knowledge 发布相关报道（…
展开全文
电力与能源约束观察：The Register 发布相关报道（原文标题：Green Party wants to slam the brakes o…
Same-source item from the Chinese report. Verify details against the original linked source: 电力与能源约束观察：The Register 发布相关报道（原文标题：Gre…
展开全文
投融资、财报或公司动态：Data Center Dynamics 发布相关报道（原文标题：Impact of SLA exposure on da…
Same-source item from the Chinese report. Verify details against the original linked source: 投融资、财报或公司动态：Data Center Dynamics 发布相关报…
展开全文
电力与能源约束观察：Data Center Knowledge 发布相关报道（原文标题：Trump Targets Foreign Grid Eq…
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…
展开全文
电力与能源约束观察：Data Center Knowledge 发布相关报道，涉及 6.8 GW（原文标题：PJM’s Power Shortfa…
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…
展开全文
OCP Datacenter Engineering Workshop @ DCD Colo & Cloud, September 25th 20…
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
Expand
OCPSummit19 - EW: Advanced Cooling - Eco-system Enabling of Liquid Coolin…
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
Expand
OCPUS18 – Best Practice of Alibaba Datacenter-Immersion Cooling Escorts C…
Open Compute Project · Query: OCP data center cooling workshop。Useful for product, market, or deployment context.
Expand
产业热度指数 10/10
Same-source item from the Chinese report. Verify details against the original linked source: 产业热度指数 10/10
展开全文
NVIDIA Blackwell/GB200/GB300
Same-source item from the Chinese report. Verify details against the original linked source: NVIDIA Blackwell/GB200/GB300
Expand
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
展开全文
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
展开全文
4. Video signals
Understanding data centre electricity use
专家讲座 · IEA Webinars · Query: AI datacenter power grid university lecture
Open on YouTubeOCP Datacenter Engineering Workshop @ DCD Colo & Cloud, September 25th 2017, Dallas TX
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeOCPSummit19 - EW: Advanced Cooling - Eco-system Enabling of Liquid Cooling Ingredients
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
Open on YouTubeOCPUS18 – Best Practice of Alibaba Datacenter-Immersion Cooling Escorts Cloud Computing
行业论坛 · Open Compute Project · Query: OCP data center cooling workshop
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 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 YouTubeHow AI Data Centers Work & The Entry-Level Tech Job Without Coding
专家讲座 · Cloud Strategy Labs · Query: AI datacenter power grid university lecture
Open on YouTubeThe balancing act of AI data centers and energy #iqt #podcast
专家讲座 · IQT · Query: AI datacenter power grid university lecture
Open on YouTubeSources
Collection notes
- 公开 RSS/Atom：ServeTheHome：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 17 条候选；池更新时间 2026-08-30 08:17。
- 论文推荐：已启用 latest 模式，优先输出本期候选池中发布时间最新的论文。
- When optional automation services are unavailable, this page uses traceable public sources and conservative rule-based summaries only; unverifiable facts are not filled in.