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Heddle: Learning Structural Templates for Parallelism Planning on Heterogeneous GPU ClustersarXivAccelerator Choice Is Not Enough: AlphaFold2 Inference on Cloud TPUsarXivThroughput-Optimized Networks at ScalearXivXWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy FarmsarXivVarioPath: Workload-Aware All-to-All Communication for PCIe GPU ClustersarXivA Theory of Probabilistic Power Provisioning for Data Centers with Distributed Energy StoragearXivScepsy: Serving Agentic Workflows Using Aggregate LLM PipelinesarXivThe KV Cache Is the New Memory WallarXivTrump Administration Mitigates Blackout Risks by Keeping Colorado Coal Plant OnlineU.S. Department of EnergyHBF-Sim: An Extensible HBF Simulator for Large-scale GPU Memory SystemsarXivThe Joule Point: an Energy-Optimal Operating Point for AI InferencearXivEMA: Elastic and Performance Transparent Memory Across GPUsarXivData center cooling choices shift water impacts across the grid: An integrated water-energy model for sustainable data center developmentarXivAccurate Distributed Tracing for Large-Scale AI Infrastructure: Time Synchronization as a Foundation for Reliable ObservabilityarXiv

AI Infrastructure Intelligence

ComputeCurrent

Source-linked analysis on the bottlenecks shaping AI capacity, power, and capital flows.

A public publication for readers who need the source trail behind data center buildouts, grid constraints, silicon supply, cooling shifts, cloud capacity, policy, and capital movement.

Read the latestHow we sourceEditorial policy
Power and grid timingData center capacityHyperscaler demandCooling and rack densityCapital and policy risk

Coverage pulse

The desk in numbers

Latest publish · Sep 30, 2026
8Analyses this weekpublished in the last 7 days
45Stories on filelive and archived coverage
5Sources followedoutlets, filings, and primary posts
4Regions coveredmarkets in the current record
Coverage mix
Power & Grid42%AI Infrastructure36%Silicon & Systems7%Cooling7%Data Centers4%Policy & Siting2%

The Current

ColumnPower & Grid

ERCOT's six-week demand record turns Texas interconnection into a capacity gate

Sustained grid stress above 70 GW converts the Texas data-center moratorium from a policy pause into a structural bottleneck, forcing buyers to price interconnection delay as delivery risk.

By Josh Jiwoon Inn · Founder & Editor, Compute Current

Read the columnAll columns
Editorial image for ERCOT's six-week demand record turns Texas interconnection into a capacity gate

Featured Signal

BriefAI InfrastructurearXiv

Heddle: Learning Structural Templates for Parallelism Planning on Heterogeneous GPU Clusters

Heddle: Learning Structural Templates for Parallelism Planning on Heterogeneous GPU Clusters gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is lease timing for the arXiv construction read on Heterogeneous GPU Clusters.

The arXiv update on Heddle: Learning Structural Templates for Parallelism Planning on changes how buyers model accelerator supply, memory bandwidth, and AI infrastructure refresh timing; the exposed dependency is lease timing for the arXiv energized dependency on Heterogeneous GPU Clusters.

OperatorsHyperscalersInvestors
Source
Heddle: Learning Structural Templates for Parallelism Planning on Heterogeneous GPU Clusters editorial visual

Recent intelligence

Latest Analysis

Source-linked analysis and briefs from the AI infrastructure buildout.

Throughput-Optimized Networks at Scale editorial visual
BriefAI InfrastructurearXiv

Throughput-Optimized Networks at Scale

Throughput-Optimized Networks at Scale gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is customer ramps for the arXiv resilience case on Throughput-Optimized Networks Scale.

The arXiv update on Throughput-Optimized Networks at Scale puts AI infrastructure planning closer to chip allocation, buyer queues, and cloud margin pressure; the exposed dependency is customer ramps for the arXiv facility read on Throughput-Optimized Networks Scale.

OperatorsHyperscalersInvestorsCloud Buyers
Source
XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms editorial visual
BriefAI InfrastructurearXiv

XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms

XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is operating costs for the arXiv policy constraint on Renewable Energy Farms.

The arXiv update on XWind: A Cross-site Router for Large Language Model Inference Serving at shows operators whether power delivery can keep pace with AI campus construction; the exposed dependency is operating costs for the arXiv margin watchpoint on Renewable Energy Farms.

OperatorsUtilitiesHyperscalersInvestors
Source
VarioPath: Workload-Aware All-to-All Communication for PCIe GPU Clusters editorial visual
BriefAI InfrastructurearXiv

VarioPath: Workload-Aware All-to-All Communication for PCIe GPU Clusters

VarioPath: Workload-Aware All-to-All Communication for PCIe GPU Clusters gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is developer risk for the arXiv facility milestone on PCIe GPU Clusters.

The arXiv update on VarioPath: Workload-Aware All-to-All Communication for PCIe GPU Clusters puts AI infrastructure planning closer to chip allocation, buyer queues, and cloud margin pressure; the exposed dependency is developer risk for the arXiv energized dependency on PCIe GPU Clusters.

OperatorsHyperscalersInvestorsCloud Buyers
Source
A Theory of Probabilistic Power Provisioning for Data Centers with Distributed Energy Storage editorial visual
BriefPower & GridarXiv

A Theory of Probabilistic Power Provisioning for Data Centers with Distributed Energy Storage

A Theory of Probabilistic Power Provisioning for Data Centers with Distributed Energy Storage shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is campus sequencing for the arXiv commissioning signal on Distributed Energy Storage.

The arXiv update on A Theory of Probabilistic Power Provisioning for Data Centers with shows operators whether power delivery can keep pace with AI campus construction; the exposed dependency is campus sequencing for the arXiv interconnection checkpoint on Distributed Energy Storage.

OperatorsInvestorsData Center ManagersHyperscalers
Source
Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines editorial visual
BriefAI InfrastructurearXiv

Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines

Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is commissioning risk for the arXiv resilience model on Aggregate LLM Pipelines.

The arXiv update on Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines gives operators another supplier signal for GPU availability, capacity-per-watt, and procurement timing; the exposed dependency is commissioning risk for the arXiv facility read on Aggregate LLM Pipelines.

OperatorsInvestorsHyperscalersCloud Buyers
Source
The KV Cache Is the New Memory Wall editorial visual
BriefAI InfrastructurearXiv

The KV Cache Is the New Memory Wall

The KV Cache Is the New Memory Wall gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is refresh cycles for the arXiv interconnection model on New Memory Wall.

The arXiv update on The KV Cache Is the New Memory Wall gives operators another supplier signal for GPU availability, capacity-per-watt, and procurement timing; the exposed dependency is refresh cycles for the arXiv utilization read on New Memory Wall.

OperatorsInvestorsHyperscalersSemiconductor Suppliers
Source
Trump Administration Mitigates Blackout Risks by Keeping Colorado Coal Plant Online editorial visual
BriefPower & GridU.S. Department of Energy

Trump Administration Mitigates Blackout Risks by Keeping Colorado Coal Plant Online

Trump Administration Mitigates Blackout Risks by Keeping Colorado Coal Plant Online shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is buyer queues for the U S Department operating signal on Coal Plant Online.

The U.S. Department of Energy update on Trump Administration Mitigates Blackout Risks by puts AI infrastructure planning closer to utility queues, grid upgrades, and commissioning schedules; the exposed dependency is buyer queues for the U S Department cloud checkpoint on Coal Plant Online.

UtilitiesOperatorsInvestorsData Center Operators
Source
HBF-Sim: An Extensible HBF Simulator for Large-scale GPU Memory Systems editorial visual
BriefSemiconductorsarXiv

HBF-Sim: An Extensible HBF Simulator for Large-scale GPU Memory Systems

HBF-Sim: An Extensible HBF Simulator for Large-scale GPU Memory Systems gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is substation work for the arXiv commissioning window on GPU Memory Systems.

The arXiv update on HBF-Sim: An Extensible HBF Simulator for Large-scale GPU Memory Systems gives operators another supplier signal for GPU availability, capacity-per-watt, and procurement timing; the exposed dependency is substation work for the arXiv buyer checkpoint on GPU Memory Systems.

OperatorsInvestorsHyperscalersDevelopers
Source
The Joule Point: an Energy-Optimal Operating Point for AI Inference editorial visual
BriefAI InfrastructurearXiv

The Joule Point: an Energy-Optimal Operating Point for AI Inference

The Joule Point: an Energy-Optimal Operating Point for AI Inference ties AI buildout timing to power procurement, utility capacity, and energy-contract risk; the practical checkpoint is utility queues for the arXiv resilience model on Point AI Inference.

The arXiv update on The Joule Point: an Energy-Optimal Operating Point for AI Inference changes how operators line up power procurement, campus energization, and capacity commitments; the exposed dependency is utility queues for the arXiv facility milestone on Point AI Inference.

OperatorsInvestorsHyperscalersData Center Operators
Source
EMA: Elastic and Performance Transparent Memory Across GPUs editorial visual
BriefAI InfrastructurearXiv

EMA: Elastic and Performance Transparent Memory Across GPUs

EMA: Elastic and Performance Transparent Memory Across GPUs gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is commissioning risk for the arXiv resilience model on Memory Across GPUs.

The arXiv update on EMA: Elastic and Performance Transparent Memory Across GPUs puts AI infrastructure planning closer to chip allocation, buyer queues, and cloud margin pressure; the exposed dependency is commissioning risk for the arXiv construction milestone on Memory Across GPUs.

OperatorsHyperscalersInvestorsCloud Buyers
Source
Data center cooling choices shift water impacts across the grid: An integrated water-energy model for sustainable data center development editorial visual
BriefData CentersarXiv

Data center cooling choices shift water impacts across the grid: An integrated water-energy model for sustainable data center development

Data center cooling choices shift water impacts across the grid: An integrated water-energy puts thermal design and rack-density assumptions back into the capacity plan for AI facilities; the practical checkpoint is capital exposure for the arXiv supplier signal on data center development.

The arXiv update on Data center cooling choices shift water impacts across the grid: An gives capacity teams a source-specific read on heat rejection, rack density, and site utilization; the exposed dependency is capital exposure for the arXiv resilience checkpoint on data center development.

OperatorsUtilitiesHyperscalersInvestors
Source
Accurate Distributed Tracing for Large-Scale AI Infrastructure: Time Synchronization as a Foundation for Reliable Observability editorial visual
BriefAI InfrastructurearXiv

Accurate Distributed Tracing for Large-Scale AI Infrastructure: Time Synchronization as a Foundation for Reliable Observability

Accurate Distributed Tracing for Large-Scale AI Infrastructure: Time Synchronization as a gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is customer ramps for the arXiv cloud checkpoint on Foundation Reliable Observability.

The arXiv update on Accurate Distributed Tracing for Large-Scale AI Infrastructure: Time puts AI infrastructure planning closer to chip allocation, buyer queues, and cloud margin pressure; the exposed dependency is customer ramps for the arXiv construction milestone on Foundation Reliable Observability.

OperatorsHyperscalersInvestorsCloud Buyers
Source
SPLASH: Co-Designing Sparse Attention with High-Bandwidth Flash for Efficient Long-Context Inference editorial visual
BriefSemiconductorsarXiv

SPLASH: Co-Designing Sparse Attention with High-Bandwidth Flash for Efficient Long-Context Inference

SPLASH: Co-Designing Sparse Attention with High-Bandwidth Flash for Efficient Long-Context gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is lease timing for the arXiv power milestone on Efficient Long-Context Inference.

The arXiv update on SPLASH: Co-Designing Sparse Attention with High-Bandwidth Flash for changes how buyers model accelerator supply, memory bandwidth, and AI infrastructure refresh timing; the exposed dependency is lease timing for the arXiv energized dependency on Efficient Long-Context Inference.

OperatorsHyperscalersInvestorsAI Developers
Source
Scalable Packet Tracking on FPGAs for Erasure-Coded RDMA over Lossy WANs editorial visual
BriefSemiconductorsarXiv

Scalable Packet Tracking on FPGAs for Erasure-Coded RDMA over Lossy WANs

Scalable Packet Tracking on FPGAs for Erasure-Coded RDMA over Lossy WANs puts thermal design and rack-density assumptions back into the capacity plan for AI facilities; the practical checkpoint is construction milestones for the arXiv contracted read on over Lossy WANs.

The arXiv update on Scalable Packet Tracking on FPGAs for Erasure-Coded RDMA over Lossy WANs puts AI infrastructure planning closer to thermal limits, facility design, and customer ramp timing; the exposed dependency is construction milestones for the arXiv delivery test on over Lossy WANs.

OperatorsHyperscalersInvestorsData Center Managers
Source
Commission enhances energy efficiency and sustainability of data centres in the EU editorial visual
Policy WatchPolicy & SitingEuropean Commission

Commission enhances energy efficiency and sustainability of data centres in the EU

Commission enhances energy efficiency and sustainability of data centres in the EU shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is buyer queues for the European Commission operating watchpoint on data centres EU.

The European Commission update on Commission enhances energy efficiency and sustainability of changes how data center developers price interconnection timing, substation work, and campus readiness; the exposed dependency is buyer queues for the European Commission cloud checkpoint on data centres EU.

OperatorsInvestorsUtilitiesHyperscalers
Source
Energy Secretary Secures Carolinas’ Grid Amidst Hot Weather Conditions editorial visual
BriefPower & GridU.S. Department of Energy

Energy Secretary Secures Carolinas’ Grid Amidst Hot Weather Conditions

Energy Secretary Secures Carolinas’ Grid Amidst Hot Weather Conditions shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is campus sequencing for the U S Department commissioning window on Hot Weather Conditions.

The U.S. Department of Energy update on Energy Secretary Secures Carolinas’ Grid Amidst Hot changes how data center developers price interconnection timing, substation work, and campus readiness; the exposed dependency is campus sequencing for the U S Department interconnection model on Hot Weather Conditions.

UtilitiesInvestorsOperatorsData Center Operators
Source
COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads editorial visual
BriefAI InfrastructurearXiv

COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads

COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is power budgets for the arXiv energized test on Learning Training Workloads.

The arXiv update on COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep puts AI infrastructure planning closer to chip allocation, buyer queues, and cloud margin pressure; the exposed dependency is power budgets for the arXiv margin signal on Learning Training Workloads.

OperatorsHyperscalersInvestorsCloud Buyers
Source
Towards Training Private LLMs: Exploring Fine-Tuning Language Models on Apple Silicon with RDMA over Thunderbolt editorial visual
BriefAI InfrastructurearXiv

Towards Training Private LLMs: Exploring Fine-Tuning Language Models on Apple Silicon with RDMA over Thunderbolt

Towards Training Private LLMs: Exploring Fine-Tuning Language Models on Apple Silicon with RDMA gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is procurement timing for the arXiv interconnection checkpoint on RDMA over Thunderbolt.

The arXiv update on Towards Training Private LLMs: Exploring Fine-Tuning Language Models on gives operators another supplier signal for GPU availability, capacity-per-watt, and procurement timing; the exposed dependency is procurement timing for the arXiv capital exposure on RDMA over Thunderbolt.

OperatorsInvestorsEnterprise ITHyperscalers
Source
OAK: Restart- and Age-Aware Scheduling for Distributed Machine Learning on Shared GPU Clusters editorial visual
BriefAI InfrastructurearXiv

OAK: Restart- and Age-Aware Scheduling for Distributed Machine Learning on Shared GPU Clusters

OAK: Restart- and Age-Aware Scheduling for Distributed Machine Learning on Shared GPU Clusters gives buyers a sharper read on accelerator supply, memory bandwidth, and performance-per-watt planning; the practical checkpoint is memory bandwidth for the arXiv capital exposure on Shared GPU Clusters.

The arXiv update on OAK: Restart- and Age-Aware Scheduling for Distributed Machine Learning on changes how buyers model accelerator supply, memory bandwidth, and AI infrastructure refresh timing; the exposed dependency is memory bandwidth for the arXiv delivery constraint on Shared GPU Clusters.

OperatorsInvestorsAI ResearchersHyperscalers
Source
DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters editorial visual
BriefAI InfrastructurearXiv

DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters

DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is campus sequencing for the arXiv margin window on Scheduling Multi-Tenant Clusters.

The arXiv update on DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant changes how data center developers price interconnection timing, substation work, and campus readiness; the exposed dependency is campus sequencing for the arXiv interconnection case on Scheduling Multi-Tenant Clusters.

OperatorsHyperscalersInvestorsCloud Buyers
Source
Editorial image for Energy Secretary Keeps Northwest Coal Generating Plant Online
BriefPower & GridU.S. Department of Energy

Energy Secretary Keeps Northwest Coal Generating Plant Online

Energy Secretary Keeps Northwest Coal Generating Plant Online shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is refresh cycles for the U S Department buyer case on Generating Plant Online.

The U.S. Department of Energy update on Energy Secretary Keeps Northwest Coal Generating Plant changes how data center developers price interconnection timing, substation work, and campus readiness; the exposed dependency is refresh cycles for the U S Department contracted milestone on Generating Plant Online.

UtilitiesOperatorsInvestorsData Center Operators
Source
Editorial image for From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers
BriefAI InfrastructurearXiv

From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers

From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is developer risk for the arXiv construction milestone on AI Data Centers.

The arXiv update on From Grid to Chip: Power Architecture, Stability, and Flexibility of AI puts AI infrastructure planning closer to utility queues, grid upgrades, and commissioning schedules; the exposed dependency is developer risk for the arXiv energized dependency on AI Data Centers.

OperatorsHyperscalersUtilitiesInvestors
Source
Editorial image for Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving
BriefAI InfrastructurearXiv

Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving

Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving ties AI buildout timing to power procurement, utility capacity, and energy-contract risk; the practical checkpoint is procurement timing for the arXiv interconnection model on Disaggregated LLM Serving.

The arXiv update on Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM puts AI infrastructure planning closer to utility capacity, energy contracts, and commissioning risk; the exposed dependency is procurement timing for the arXiv contracted read on Disaggregated LLM Serving.

OperatorsHyperscalersInvestorsSemiconductor Suppliers
Source
Editorial image for Energy Department Closes $1.9 Billion Loan to Restart Duane Arnold Nuclear Plant
BriefPower & GridU.S. Department of Energy

Energy Department Closes $1.9 Billion Loan to Restart Duane Arnold Nuclear Plant

Energy Department Closes $1.9 Billion Loan to Restart Duane Arnold Nuclear Plant shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is developer risk for the U S Department construction read on Arnold Nuclear Plant.

The U.S. Department of Energy update on Energy Department Closes $1.9 Billion Loan to Restart shows operators whether power delivery can keep pace with AI campus construction; the exposed dependency is developer risk for the U S Department procurement constraint on Arnold Nuclear Plant.

UtilitiesInvestorsOperatorsConstruction Firms
Source
Editorial image for ACER calls for better market modelling as data centre demand outpaces electricity supply in Portugal
BriefPower & GridACER (EU energy regulators)

ACER calls for better market modelling as data centre demand outpaces electricity supply in Portugal

ACER calls for better market modelling as data centre demand outpaces electricity supply in shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is rack planning for the ACER EU energy workload dependency on electricity supply Portugal.

The ACER (EU energy regulators) update on ACER calls for better market modelling as data centre puts AI infrastructure planning closer to utility queues, grid upgrades, and commissioning schedules; the exposed dependency is rack planning for the ACER EU energy supplier watchpoint on electricity supply Portugal.

OperatorsUtilitiesHyperscalersInvestors
Source
Editorial image for Energy Secretary Secures Carolinas’ Grid Ahead of Holiday Weekend
BriefPower & GridU.S. Department of Energy

Energy Secretary Secures Carolinas’ Grid Ahead of Holiday Weekend

Energy Secretary Secures Carolinas’ Grid Ahead of Holiday Weekend shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is tenant commitments for the U S Department delivery constraint on Ahead Holiday Weekend.

The U.S. Department of Energy update on Energy Secretary Secures Carolinas’ Grid Ahead of shows operators whether power delivery can keep pace with AI campus construction; the exposed dependency is tenant commitments for the U S Department operating signal on Ahead Holiday Weekend.

UtilitiesOperatorsInvestorsData Center Operators
Source
Editorial image for Energy Secretary Saves Coal-Fired Generation from Going Offline in Florida
BriefPower & GridU.S. Department of Energy

Energy Secretary Saves Coal-Fired Generation from Going Offline in Florida

Energy Secretary Saves Coal-Fired Generation from Going Offline in Florida shows where grid access, interconnection timing, and substation readiness can decide AI campus schedules; the practical checkpoint is refresh cycles for the U S Department interconnection model on Going Offline Florida.

The U.S. Department of Energy update on Energy Secretary Saves Coal-Fired Generation from Going puts AI infrastructure planning closer to utility queues, grid upgrades, and commissioning schedules; the exposed dependency is refresh cycles for the U S Department capital read on Going Offline Florida.

UtilitiesOperatorsInvestorsRegulators
Source
Editorial image for Data-center load is turning spare generation into a timing problem
AnalysisPower & GridU.S. Energy Information Administration

Data-center load is turning spare generation into a timing problem

EIA's high-demand case shows why near-term data-center growth is first a dispatch, fuel, and regional price problem, even before new plants can be built.

Capacity plans in ERCOT and PJM now depend on when large loads arrive, which generators can run harder, and whether grid supply can respond during the same hours.

OperatorsCapacity plannersInvestors
Read analysisRead source
Editorial image for Cooling makes server growth a two-part electricity forecast
AnalysisCoolingU.S. Energy Information Administration

Cooling makes server growth a two-part electricity forecast

EIA's long-term outlook separates server electricity from the cooling and ventilation that support it, exposing a wider facilities load than a server-only forecast captures.

Data-center capacity models need parallel assumptions for installed server stock, operational power draw, cooling intensity, weather, and efficiency rather than one headline demand curve.

OperatorsCapacity plannersInvestors
Read analysisRead source
Editorial image for Virginia's commercial power growth is becoming a peak-load test
AnalysisPower & GridU.S. Energy Information Administration

Virginia's commercial power growth is becoming a peak-load test

Commercial electricity sales show the scale of Virginia's data-center growth, but PJM's Dominion peak forecast is the sharper test for reserves, infrastructure, and hourly reliability.

Developers and grid utilities must reconcile annual energy growth with the hours that set generation, transmission, demand-response, and storage requirements.

OperatorsCapacity plannersInvestors
Read analysisRead source
Editorial image for Nuclear power contracts do not erase data-center delivery risk
Deal WatchCapital & DealsU.S. Energy Information Administration

Nuclear power contracts do not erase data-center delivery risk

Dedicated nuclear agreements match the steady load of large data centers, but a contract for generation is still separate from interconnection, restart, transmission, and campus commissioning.

The value of a nuclear deal depends on the sequence that converts a long-term power commitment into electricity delivered at the site when computing capacity is ready.

OperatorsCapacity plannersInvestors
Read analysisRead source
Editorial image for Texas needs to distinguish approved large loads from live demand
AnalysisPower & GridU.S. Energy Information Administration

Texas needs to distinguish approved large loads from live demand

ERCOT's large-flexible-load process separates applications, approved capacity, actual utilization, and curtailment, giving data-center planners a better model than the headline queue.

Generation and price forecasts depend on how much large-load capacity is operating, how steadily it consumes electricity, and whether it reduces demand during tight hours.

OperatorsCapacity plannersInvestors
Read analysisRead source
Editorial image for Commercial power growth is concentrating around computing hubs
SignalPower & GridU.S. Energy Information Administration

Commercial power growth is concentrating around computing hubs

EIA data show that Virginia, Texas, and other states with rapid computing-facility development account for a disproportionate share of commercial electricity growth.

Regional grid and site selection decisions should follow where new commercial load is concentrating, not a national average that masks local pressure.

OperatorsCapacity plannersInvestors
Source
Editorial image for Computing could become the largest commercial electricity end use
SignalCoolingU.S. Energy Information Administration

Computing could become the largest commercial electricity end use

EIA projects commercial computing electricity use to outgrow efficiency gains and add cooling and ventilation demand across data-center floorspace.

Utilities and facility designers need to model computing and its supporting building systems as a growing base load rather than a small office end use.

OperatorsCapacity plannersInvestors
Source
Editorial image for Record generation is confirming the return of electricity load growth
SignalPower & GridU.S. Energy Information Administration

Record generation is confirming the return of electricity load growth

U.S. generation set another annual record as commercial demand, including data centers, helped end the long period of nearly flat electricity use.

Capacity planning must now account for sustained load growth instead of assuming that efficiency will keep national electricity demand level.

OperatorsCapacity plannersInvestors
Source
Editorial image for Data-center demand is pulling gas generation back into the capacity plan
SignalPower & GridU.S. Energy Information Administration

Data-center demand is pulling gas generation back into the capacity plan

EIA expects rising commercial load in Texas and Virginia to increase the call on natural gas generation as data centers add operating and cooling demand.

Gas supply, plant utilization, and regional summer conditions remain part of the near-term power case for new computing capacity.

OperatorsCapacity plannersInvestors
Source
Editorial image for Solar additions are arriving alongside a new electricity demand cycle
SignalPower & GridU.S. Energy Information Administration

Solar additions are arriving alongside a new electricity demand cycle

EIA's forecast pairs renewed electricity consumption growth from data centers and manufacturing with a large wave of new solar generation.

The planning question is whether variable new supply, firm generation, storage, and grid delivery can match the hours when large computing loads run.

OperatorsCapacity plannersInvestors
Source
Editorial image for ERCOT and PJM are becoming the load-growth stress tests
SignalPower & GridU.S. Energy Information Administration

ERCOT and PJM are becoming the load-growth stress tests

EIA expects the strongest regional electricity growth in Texas and the mid-Atlantic, where proposed data centers are concentrated and timing remains uncertain.

Interconnection, generation, and transmission decisions in these two markets will shape which announced campuses reach usable capacity first.

OperatorsCapacity plannersInvestors
Source
Editorial image for Solar and gas additions are reshaping the data-center power mix
SignalPower & GridU.S. Energy Information Administration

Solar and gas additions are reshaping the data-center power mix

EIA expects solar generation and battery capacity to expand while data-center demand raises natural gas generation in ERCOT and PJM.

Capacity teams need an hourly supply mix that connects renewable additions, dispatchable generation, storage, and the regional timing of large computing loads.

OperatorsCapacity plannersInvestors
Source
Editorial image for Peak-demand records raise the bar for data-center grid planning
SignalPower & GridU.S. Energy Information Administration

Peak-demand records raise the bar for data-center grid planning

New Lower 48 peak-demand records combine hot-weather cooling load with an underlying increase in electricity use around large data-center markets.

A campus power plan must hold during the same extreme hours that test regional generation, transmission, and reserve margins.

OperatorsCapacity plannersInvestors
Source
Editorial image for EIA's data-center survey could narrow the industry's measurement gap
SignalData CentersU.S. Energy Information Administration

EIA's data-center survey could narrow the industry's measurement gap

A new EIA pilot will collect data on energy sources, electricity use, site characteristics, server metrics, and cooling systems across major U.S. data-center regions.

Better measured load and cooling data can reduce the gap between announced capacity, utility forecasts, and actual operating demand.

OperatorsCapacity plannersInvestors
Source
Editorial image for On-premise data centers remain a hidden cooling load
SignalCoolingU.S. Energy Information Administration

On-premise data centers remain a hidden cooling load

EIA building data show that offices with data centers use more electricity for computing and cooling than comparable offices without server facilities.

Distributed server rooms can add meaningful facilities load outside the large standalone campuses that dominate utility forecasts and market headlines.

OperatorsCapacity plannersInvestors
Source
Editorial image for Battery storage capacity averaged 70% growth over the last three years
BriefPower & GridU.S. Energy Information Administration

Battery storage capacity averaged 70% growth over the last three years

Battery storage capacity averaged 70% growth over the last three years puts thermal design and rack-density assumptions back into the capacity plan for AI facilities; the practical checkpoint is operating costs for the U S Energy procurement constraint on last three years.

The U.S. Energy Information update on Battery storage capacity averaged 70% growth over the changes how operators size cooling capacity, rack density, and data center fit-out risk; the exposed dependency is operating costs for the U S Energy commissioning watchpoint on last three years.

Data Center OperatorsUtilitiesCloud Capacity TeamsInvestors
Source
Power WatchGrid access, energization timing, generation tie-ups, and site constraints.Capacity WatchData center demand, cloud commitments, rack density, and lease movement.Silicon WatchAccelerators, memory, packaging, and the supply picture behind compute.Cooling WatchLiquid cooling shifts, water strategy, and thermal limits at density.Capital WatchFinancing rounds, project debt, M&A, and infrastructure market moves.Source TrailOriginal links, visual source notes, archive search, and public methodology.

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Update schedule: every 8 hours · Source-linked feed current through Sep 30, 2026 · Long-form publishing last authorized Aug 12, 2026 · Pipeline last successful update Oct 3, 2026. Follow along wherever you read.

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