Liquid Cooling and AI Data Center Daily | 2026-11-02
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 2026-11-02.
- Collection window: 2026-11-01 08:00 北京时间 - 2026-11-02 08:00 北京时间.
- Coverage snapshot: 8 industry items; 5 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 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.
A Power-Trajectory Framework for Data Center Participation in Day-Ahead M…
The rapid expansion of artificial intelligence (AI) is driving substantial growth in data center electricity demand. Interval-based…
Expand
A Power-Trajectory Framework for Data Center Participation in Day-Ahead Markets
Research perspective (Chinese)
相同电量块可能隐藏不同的功率变化路径，从而影响爬坡可行性和结算。市场设计需要在同一时间基准下对齐需求轨迹、发电约束与价格，并区分表示误差和真实补偿需求。
- Published
- 2026-10-12
- Authors
- Menghan Zhang, Caisheng Wang
- Theme
- 算电协同
Abstract
The rapid expansion of artificial intelligence (AI) is driving substantial growth in data center electricity demand. Interval-based energy blocks in day-ahead markets do not explicitly retain predictable intra-interval demand evolution, potentially creating mismatches with ramp-feasible generation trajectories and affecting settlement. This paper proposes a power-trajectory framework in which data centers declare predictable aggregate demand evolution through continuous demand-side power trajectories before market clearing. The declared trajectories are treated as exogenous inputs for constructing generation trajectories and the corresponding price trajectory. For feasible market-clearing outcomes, physical temporal consistency is established through continuous-time power balance and satisfaction of the modeled generation operating constraints, while economic temporal consistency is established by preserving the dispatch-price correspondence in energy settlement on a common temporal basis. Under the adopted settlement definitions, a trajectory-based settlement analysis separately quantifies the monetary magnitude of representation-induced power imbalances and the supply-side compensation that may remain under temporally consistent clearing and settlement. An illustrative 5-bus case demonstrates the elimination of representation-induced power imbalance and identifies the timing and physical sources of supply-side compensation. A modified IEEE RTS-GMLC case further illustrates these compensation effects across multiple generating units under workload-driven data center demand variations.
Chinese interpretation
研究数据中心在日前市场中的功率轨迹框架，通过连续时间平衡和经济一致性确保市场出清。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Menghan Zhang, Caisheng Wang. A Power-Trajectory Framework for Data Center Participation in Day-Ahead Markets[J/OL]. (2026-10-12)[2026-11-02]. http://arxiv.org/abs/2610.16918v1.
Service-Aware Hosting Capacity Assessment of Edge Data Centers with Workl…
The growing demand for edge computing, content delivery, and AI services is driving the interconnection of edge data centers (DCs) …
Expand
Service-Aware Hosting Capacity Assessment of Edge Data Centers with Workload Flexibility
Research perspective (Chinese)
边缘数据中心的可接入容量取决于服务能否移时完成，峰值功率难以单独刻画这种差异。容量评估应把任务时限、冷却附加负荷与配电网约束放在同一框架中。
- Published
- 2026-10-13
- Authors
- Linhan Fang, Haoxiang Wan, Anurag Srivastava, Xingpeng Li
- Theme
- AI 运维优化
Abstract
The growing demand for edge computing, content delivery, and AI services is driving the interconnection of edge data centers (DCs) with distribution networks. Before interconnection, utilities evaluate how much DC capacity can be accommodated without violating feeder current and voltage limits. Fixed peak load representations can overlook service dependent demand patterns, cooling related facility demand, and delay tolerant computing tasks. This paper develops a hosting capacity (HC) assessment model for edge DCs with shiftable workload scheduling. Three representative types are considered: mobile edge computing (MEC), content delivery network (CDN), and AI DCs. Facility demand is modeled by combining fixed base demand, service driven demand, prescribed cooling-overhead coefficient, and a shiftable workload component. Workload execution is optimized under arrival causality, maximum delay, daily energy balance constraints, and the resulting active and reactive loads are embedded in a distribution power flow model. Compared with the baseline without load shifting, the maximum bus level HC gain on the IEEE 33-bus system reaches 4.46% for MEC DCs and 9.89% for AI DCs, while CDN case shows negligible gain under the assumed cache management windows.
Chinese interpretation
本文研究边缘数据中心与配电网互联前的容量评估问题，提出考虑工作负载灵活性的模型，结合服务特性与冷却需求建模设施负荷，并通过优化工作负载调度提升容量评估准确性。模型包含可调度工作负载组件，考虑多种约束条件，应用于不同类型的边缘数据中心案例分析。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Linhan Fang, Haoxiang Wan, Anurag Srivastava, 等. Service-Aware Hosting Capacity Assessment of Edge Data Centers with Workload Flexibility[J/OL]. (2026-10-13)[2026-11-02]. http://arxiv.org/abs/2610.17645v1.
FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camer…
A perception system that must brake for a pedestrian does not need a low average latency. It must deliver an answer before the dead…
Expand
FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camera-Based Autonomous Driving
Research perspective (Chinese)
安全关键计算更需要说明最坏情况下何时交付，以及超时会返回什么。周期上界、实测时延与完整流水线性能应分开报告，避免把代理测试的保证外推到整套系统。
- Published
- 2026-10-16
- Authors
- Haohua Que, Mingkai Liu, Handong Yao
- Theme
- 芯片与算力
Abstract
A perception system that must brake for a pedestrian does not need a low average latency. It must deliver an answer before the deadline on every frame, the worst case included. Commodity edge accelerators optimize the mean through dynamic scheduling, OS jitter, thermal throttling, and contention, so their per-frame latency can be measured but not bounded. We build FALCON, a camera-based 3D occupancy front-end on the AMD Kria KR260, an embedded FPGA drawing 4.3 W idle and up to 6.6 W under inference, and make the latency guarantee layered and explicit: programmable-logic (PL) compute is cycle-bounded analytically; inference is a measured envelope over 100k-frame traces; and a watchdog enforces output delivery, publishing the previous output flagged stale when a frame is late. The deadline runs use a fixed-work proxy of six ResNet-50 DPU inferences per frame, not the full occupancy network: across three 100k-frame enforced runs, all 300k proxy frames delivered an output within the 100 ms deadline plus at most 10.2 ms, the worst of the three runs. The full six-camera FlashOcc pipeline composes to about 1.3 s per frame on the board and is not yet a 10 Hz system. The two operations the DPU cannot run, a view-transform gather and a bilinear resize, become fixed-trip-count PL IPs numerically matched to their software references. On the full Occ3D-nuScenes validation set the board reaches mIoU 29.88, 92.8% of an FP32 baseline the DPU cannot run. On a ResNet-50 probe over 100k frames the KR260 tail stays within 1.5 times its median (2.0 times for the six-inference proxy), where Jetson Orin reaches 4.4 times and the worst datacenter GPU run (NVIDIA L4) 23.6 times. The deployment recipe, HLS sources, and raw timing traces are released.
Chinese interpretation
本文研究相机自主驾驶中延迟可验证的占用网络问题，采用FPGA加速实现延迟分层保障机制。通过可编程逻辑计算的周期约束、轨迹测量和看门狗机制，确保处理延迟在可预测范围内。研究显示系统在占用率指标上接近FP32基线，但整体处理速度尚未满足10Hz要求。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Haohua Que, Mingkai Liu, Handong Yao. FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camera-Based Autonomous Driving[J/OL]. (2026-10-16)[2026-11-02]. http://arxiv.org/abs/2610.22143v2.
Stackelberg Game with Multi-Agent Transformer for ISRS-Aware Resource Re-…
The rapid expansion of generative AI is driving computing infrastructures toward interconnected AI data centers. Multi-band optical…
Expand
Stackelberg Game with Multi-Agent Transformer for ISRS-Aware Resource Re-optimization in Multi-Band Optical Networks
Research perspective (Chinese)
光网络中一项服务的局部调整，可能通过非线性耦合改变其他服务的传输条件。资源重优化应把调整哪些服务与如何联合重分配一起决策，并检查计算开销和收益的边界。
- Published
- 2026-10-10
- Authors
- Jiaxin Liu, Rentao Gu, Miao Zhu, Zeguang Zou, Hui Li, Yuefeng Ji
- Theme
- 热管理与液冷
Abstract
The rapid expansion of generative AI is driving computing infrastructures toward interconnected AI data centers. Multi-band optical networks have become the backbone of such connectivity. To accommodate increasingly dynamic traffic demands, these networks require continual resource re-optimization to improve resource utilization and reduce service blocking. However, multi-band transmission amplifies inter-channel stimulated Raman scattering(ISRS), inducing nonlinear coupling among services. This coupling complicates re-optimization, as local adjustments perturb the global power profile, creating interdependent optimization decisions across services. Moreover, the nonlinear interactions vary with the subset of services selected for re-optimization, and inappropriate selection may reduce re-optimization effectiveness or diminish achievable benefits. To address these challenges, we propose a Stackelberg Game with Multi-Agent Transformer (SG-MAT) approach for ISRS-aware resource re-optimization. SG-MAT employs a leader-follower structure, in which the MAT-based follower models nonlinear coupling and generates coordinated channel reallocations, feeding the utilization improvements to the leader. Using this feedback, the leader identifies critical service subsets, approximating a Stackelberg equilibrium to guide global decisions and enabling consistent and efficient re-optimization. Simulation results show that SG-MAT achieves the highest utilization improvement and reduces the blocking ratio by approximately 30% under moderate traffic loads, with computational complexity comparable to benchmarks.
Chinese interpretation
该研究针对多波段光网络中因ISRS导致的非线性耦合问题，提出了一种结合斯塔克尔伯格博弈与多智能体Transformer的SG-MAT方法。该方法通过领导者-跟随者机制协调信道重分配，近似斯塔克尔伯格均衡以优化全局资源。该研究对于提升互联数据中心的光网络资源利用率和降低服务阻塞具有重要意义，为应对动态流量需求提供了有效的重优化策略。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Jiaxin Liu, Rentao Gu, Miao Zhu, 等. Stackelberg Game with Multi-Agent Transformer for ISRS-Aware Resource Re-optimization in Multi-Band Optical Networks[J/OL]. (2026-10-10)[2026-11-02]. http://arxiv.org/abs/2610.14830v1.
How suboptimal is my stochastic network controller allowed to be? Complet…
Power grids are beginning to host AI data centers whose demand can change abruptly and in a correlated way, and operators and plann…
Expand
How suboptimal is my stochastic network controller allowed to be? Completion certificates with application to power grids hosting AI data centers
Research perspective (Chinese)
控制策略离最优还有多远，可以通过成本上下界获得可核验的证书。算电协同控制的改进空间，既可能来自新增硬件，也可能来自现有控制能力在不同位置的重新配置。
- Published
- 2026-10-02
- Authors
- Michael Chertkov
- Theme
- 算电协同
Abstract
Power grids are beginning to host AI data centers whose demand can change abruptly and in a correlated way, and operators and planners must decide whether existing controllers can absorb the resulting transients and where new flexibility is worth installing. We cast this as a question in stochastic control: how far from optimal is an implementable controller? For controlled diffusions with affine, state-independent actuation, additive and possibly degenerate noise and quadratic control cost, any Hamilton-Jacobi-Bellman (HJB) subsolution bounds the optimal cost from below and simulation bounds the deployed cost from above, so their gap certifies the permissible suboptimality. We construct subsolutions from path-integral control by completing the control geometry: enlarging the control Gramian until it matches the physical noise makes the problem linearly solvable, and its Feynman-Kac value is an automatic lower bound whose HJB residual is exactly the energy of the fictitious control. A dual noise-deflation construction can be tighter but requires a curvature condition. The geometry yields planning rules: price control authority in proportion to local noise variance, and use shadow values to guide sparse reinforcement. For nonlinear stochastic swing dynamics of the IEEE 118-bus system after a severe load loss, a simple generator controller is certified within 2.8% of optimal under homogeneous forcing; under heterogeneous forcing the gap is 39% with uniform prices and 1.2% once the same total authority is repriced, before any hardware is added.
Chinese interpretation
本文提出次优性认证方法，基于随机控制理论分析控制器性能，与数据中心研究相关联。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Michael Chertkov. How suboptimal is my stochastic network controller allowed to be? Completion certificates with application to power grids hosting AI data centers[J/OL]. (2026-10-02)[2026-11-02]. http://arxiv.org/abs/2610.03275v1.
Capturing Electrical Windows Through Reconfigurable Optical Networks: Tra…
Artificial-intelligence data centers (AIDCs) can provide spatiotemporal load flexibility by migrating training workloads in respons…
Expand
Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers
Research perspective (Chinese)
低电价或富余可再生能源只有在检查点及时到达后，才能转化为可用的迁移窗口。跨区域调度应把传输延迟、共享链路和光网络重构纳入可执行性验证。
- Published
- 2026-10-09
- Authors
- Xi Tong, Zijian Li, Xiaoyi Fan, Cong Zhang, Ershun Du, Qin Wang
- Theme
- 算电协同
Abstract
Artificial-intelligence data centers (AIDCs) can provide spatiotemporal load flexibility by migrating training workloads in response to regional electricity prices and renewable-energy (RE) availability. However, transfer-blind scheduling may overestimate migration benefits by overlooking transfer time or prevent training from resuming within renewable-rich or low-price windows when considering transfer time. This paper proposes a transfer-aware compute-electricity-network scheduling framework that coordinates training placement, checkpoint transmission, and optical circuit switching (OCS) to improve local RE utilization and reduce grid-purchase cost. A compact compute-electricity master problem generates candidate schedules using estimated transfer delays. The framework then schedules optical circuits, verifies checkpoint delivery under shared-link capacity constraints, and revises infeasible schedules using updated delay estimates. It integrates day-ahead planning, event-triggered intraday updates, and real-time dispatch. In a five-AIDC benchmark with equal completed work and network resources, the proposed method reduces the real-time grid purchase cost by 12.50% and increases the local RE utilization by 2.724 percentage points relative to static optical operation. Sensitivity and ablation analyses indicate that OCS is particularly beneficial when renewable-rich or low-price windows shift across sites and network bottlenecks hinder timely checkpoint delivery.
Chinese interpretation
本文探讨多区域AI数据中心迁移调度问题，通过协调计算、电力和光网络优化，提升可再生能源利用率并降低成本。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Xi Tong, Zijian Li, Xiaoyi Fan, 等. Capturing Electrical Windows Through Reconfigurable Optical Networks: Transfer-aware Scheduling of Multi-Region AI Data Centers[J/OL]. (2026-10-09)[2026-11-02]. http://arxiv.org/abs/2610.13061v1.
Unlocking AI Data Center Interconnection Capacity Through Coordinated Gri…
The rapid growth of AI data centers is creating concentrated electricity demands that can exceed available distribution network hea…
Expand
Unlocking AI Data Center Interconnection Capacity Through Coordinated Grid and Data Center Flexibility
Research perspective (Chinese)
可接入容量的瓶颈可能首先在馈线拓扑与接入位置，而不在计算任务可移动多少。投资负载调度或UPS灵活性之前，宜先对照电网侧重构、电压约束和备用要求评估增益。
- Published
- 2026-10-05
- Authors
- Rida Fatima, Xingpeng Li
- Theme
- 算电协同
Abstract
The rapid growth of AI data centers is creating concentrated electricity demands that can exceed available distribution network headroom and delay interconnection. This paper investigates whether capacity can be used effectively by coordinating flexibility on both sides of the interconnection. A day-ahead mixed integer second order cone programming framework maximizes feasible AI data center IT capacity using utility side conservation voltage reduction and network topology reconfiguration, together with data center workload shifting and reserve constrained uninterruptible power supply storage. Background feeder demand uses voltage dependent ZIP models, while the data center is modeled as constant power demand using Training, Inference, and Mixed workload profiles. A two-stage solution first maximizes interconnection capacity and then minimizes feeder losses for the retained capacity, with numerical relaxation screening. Studies on a 116-bus model derived from the IEEE 123-node feeder show that, at the constrained bus-60 connection point, grid side flexibility, driven almost entirely by network reconfiguration, increases feasible IT capacity by approximately 42.5-45.0%, while data center flexibility alone provides approximately 2.1-5.4% gains. Coordinated operation increases feasible IT capacity from approximately 10.5-10.6 MW under BASE operation to 15.3-16.0 MW, corresponding to gains of approximately 45.9-50.8%; the 16.0 MW Inference result is limited by the adopted UPS reserve requirement. Benefits are strongly location dependent and influenced by workload flexibility, deferral duration, PUE, UPS energy and reserve requirements, and feeder loading. Under a combined adverse operating condition, FULL capacity decreases by only 3.4% relative to the nominal Mixed case while retaining substantial additional capacity over BASE.
Chinese interpretation
本文针对AI数据中心高电力需求导致的互联瓶颈问题，提出协调电网与数据中心灵活性的优化方法。通过构建日前规划框架，结合电网侧电压调控与网络重构及数据中心侧工作负载调整，评估互联容量提升效果。研究基于IEEE 123节点模型进行仿真，揭示电网侧灵活性对容量提升的主导作用，并指出协同运行对容量增长的显著影响。以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Rida Fatima, Xingpeng Li. Unlocking AI Data Center Interconnection Capacity Through Coordinated Grid and Data Center Flexibility[J/OL]. (2026-10-05)[2026-11-02]. http://arxiv.org/abs/2610.05502v1.
Converter-Aware Coordination of Computing Flexibility in Behind-the-Meter…
Data centers are emerging as large electricity consumers whose demand can be reshaped through workload scheduling. However, computi…
Expand
Converter-Aware Coordination of Computing Flexibility in Behind-the-Meter Data Centers
Research perspective (Chinese)
任务能够延后执行，不代表相应功率轨迹一定满足电气约束。计算调度与变流器、电压和备用要求联合校核，才能判断灵活性是否具备实际运行价值。
- Published
- 2026-10-16
- Authors
- Ruolan Cui, Ruizhang Yang, Chenxi Hu, Franxis Yunhe Hou
- Theme
- 算电协同
Abstract
Data centers are emerging as large electricity consumers whose demand can be reshaped through workload scheduling. However, computing flexibility in behind-the-meter facilities does not automatically translate into electrically realizable power flexibility. Ignoring converter and network operating limits may cause converter overloads, protection trips, and interruptions to power supply and computing services. This paper proposes a converter-aware intraday scheduling methodology. First, a task-level mixed-integer linear formulation preserves synchronous training configurations and completion requirements, while Minkowski-sum aggregation and Shapley--Folkman convexification yield a linear inference-pool representation without unit-level binary variables. The latter admits a conditional relative relaxation-gap bound that decreases inversely with pool size. Second, a four-node electrical model links computing demand, on-site injections, and grid exchange to converter and network limits through lifted voltage variables and second-order cone relaxation. Finally, a mixed-integer model coordinates workloads, photovoltaic generation, energy storage, and grid purchases. Case studies show that electrical limits reshape scheduling and renewable utilization, while on-site resources reduce grid dependence. Under the studied conditions, fixed training cannot support full inference service within voltage limits, whereas coordinated scheduling achieves negligible inference shortage and passes verification against the original alternating-current model. These findings demonstrate the role of computing--electrical coordination in realizing the operational value of workload flexibility.
Chinese interpretation
本文探讨计算与电力系统协调机制，通过数学模型分析转换器对调度的影响。研究为数据中心能源管理提供新思路，以上判断仅依据摘要，方法细节与适用条件请核验原文。
Reference
Ruolan Cui, Ruizhang Yang, Chenxi Hu, 等. Converter-Aware Coordination of Computing Flexibility in Behind-the-Meter Data Centers[J/OL]. (2026-10-16)[2026-11-02]. http://arxiv.org/abs/2610.22972v1.
How AI Data Centers Are Changing the Power Grid Explained Slowly (For Sle…
Quantara Explains · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
Reimagine AI data center power from grid to gate
Texas Instruments · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
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.
Expand
Why AI Data Centers Are Straining the Power Grid
VECTOR CROWN · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
Challenges and Opportunities in Data Center Power and Sustainability in t…
IEEEComputerSociety · Query: IEEE data center energy efficiency lecture。Useful as technical or research context.
Expand
Google's head of energy and power on how AI data centers can help improve…
CNBC Television · Query: AI data center energy conference keynote。Useful as technical or research context.
Expand
How the Electrical Grid Is Being Rebuilt for AI | Bloomberg Primer
Bloomberg Originals · Query: AI datacenter power grid university lecture。Useful as technical or research context.
Expand
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
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
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
Industry
Industry news, products, policy, financing, projects, and market-oriented videos.
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：What could 1,000x more reliable…
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
电力与能源约束观察：Data Center Dynamics 发布相关报道（原文标题：Beyond the grid: the maintenan…
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
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：Sponsored: One security strateg…
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
电力与能源约束观察：Data Center Dynamics 发布相关报道（原文标题：Europe’s AI ambitions are hitt…
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
数据中心产业动态：Data Center Dynamics 发布相关报道（原文标题：Data center mooted in Glasgow b…
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：Modular data center provider DX…
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：Sponsored: The new age of contr…
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：Sabey DC to pilot HVO fuel as d…
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
电力与能源约束观察：Data Center Dynamics 发布相关报道（原文标题：DayOne signs MoU with Sembcorp…
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
技术与产品进展：The Register 发布相关报道（原文标题：PC chip plunge wipes out a quarter of In…
Same-source item from the Chinese report. Verify details against the original linked source: 技术与产品进展：The Register 发布相关报道（原文标题：PC ch…
展开全文
AI 算力基础设施动态：ServeTheHome 发布相关报道（原文标题：NVIDIA Updates Rubin GPU Specs as Fi…
Same-source item from the Chinese report. Verify details against the original linked source: AI 算力基础设施动态：ServeTheHome 发布相关报道（原文标题：N…
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：Where Solid-State Micro-Coolin…
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
液冷与热管理进展：Data Center Knowledge 发布相关报道（原文标题：Rethinking the Blind-Mate Conn…
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
财报与资本开支观察：ServeTheHome 发布相关报道（原文标题：Intel Q3 2026 Earnings Data Center Soa…
Same-source item from the Chinese report. Verify details against the original linked source: 财报与资本开支观察：ServeTheHome 发布相关报道（原文标题：Int…
展开全文
Open Compute (OCP) Project, Data Center Cooling - CORECHEM Inc.
CORECHEM Inc. · 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
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
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
4. Video signals
How AI Data Centers Are Changing the Power Grid Explained Slowly (For Sleep)
专家讲座 · Quantara Explains · Query: AI datacenter power grid university lecture
Open on YouTubeReimagine AI data center power from grid to gate
专家讲座 · Texas Instruments · 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 AI Data Centers Are Straining the Power Grid
专家讲座 · VECTOR CROWN · Query: AI datacenter power grid university lecture
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 YouTubeChallenges and Opportunities in Data Center Power and Sustainability in the AI Era
学术讲座 · IEEEComputerSociety · Query: IEEE data center energy efficiency lecture
Open on YouTubeGoogle's head of energy and power on how AI data centers can help improve the grid
学术会议报告 · CNBC Television · Query: AI data center energy conference keynote
Open on YouTubeHow the Electrical Grid Is Being Rebuilt for AI | Bloomberg Primer
专家讲座 · Bloomberg Originals · Query: AI datacenter power grid university lecture
Open on YouTubeSources
Collection notes
- 当前自动化环境未配置 Tavily、Bing News 或 SerpAPI 检索密钥；脚本将使用公开 RSS/Atom、公共 arXiv 接口与固定监测源，不会编造产业新闻。
- 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 27 条候选；池更新时间 2026-11-02 06:15。
- 论文中文增强：0 篇通过 Cloudflare 模型校验（Qwen 主模型，GLM 备用；备用 0 篇），复用 8 篇与原文一致的中文缓存；新增 0 篇研究启示。
- AI 分析：已使用 Cloudflare @cf/qwen/qwen3-30b-a3b-fp8 生成中文结构化研判；仅依据列出的来源材料，模型不作为事实来源。