02.1 / Compute
The image begins with compute.
Accelerator availability and refresh cadence change rack density, heat loads, equipment choices and the economics of the facility around them.
Flagship Infrastructure Insight
The next AI advantage will be measured in energised compute, not announced gigawatts.
Behind every model response is a physical chain of chips, racks, cooling, substations, power, water, fibre, land, equipment and delivery.
01 / Why now
Data centres can remain a manageable share of global electricity while becoming a system-defining load in specific grids and markets.
The 2030 value is a forecast, not an observed outcome. Ireland shows why local concentration can matter even when the global share remains limited.
02.1 / Compute
Accelerator availability and refresh cadence change rack density, heat loads, equipment choices and the economics of the facility around them.
02.2 / Power
Connection timing, redundancy, reinforcement and long-lead electrical equipment can control the operating date.
02.3 / Cooling
The cooling architecture must follow the hardware roadmap without becoming obsolete first.
02.4 / Water
Resource claims change when electricity generation, treatment, desalination and heat rejection enter the boundary.
02.5 / Land
Power corridors, cooling, fibre, security, logistics and future phases compete for space.
02.6 / Fibre
Diversity, latency and international links determine what happens when one path is lost.
02.7 / Materials
Transformers, switchgear, pumps and other long-lead equipment shape the critical path.
02.8 / Delivery
Infrastructure, equipment, approvals, contractors and commissioning must finish together. Useful compute exists only when every layer converges.
03 / Capacity Ladder
Public ambition can leave site, timing, power, procurement and phasing unresolved.
Official announcement or developer statement.
Site, timing, power, procurement and phasing can remain unresolved.
A credible supply commitment is not yet a physical connection.
Executed utility agreement, credible allocation or equivalent supply commitment.
Physical connection, reinforcement and energisation timing can still change.
Connection can be energised while data halls and IT remain incomplete.
Utility or commissioning evidence that the required connection is physically available and energised.
Data halls, cooling and IT systems may still be incomplete.
Electrical and cooling systems support installed IT load.
Commissioning or operating evidence that electrical and cooling systems support installed IT load.
Utilisation can remain low and workload deployment may lag.
Productive workloads are actually running. The conversion rate between stages is more informative than headline pipeline size.
Operational evidence that commissioned infrastructure is running productive workloads.
Actual utilisation can be commercially confidential. Where public telemetry is unavailable, the stage should remain explicitly unverified rather than estimated.
04 / Density
Modal-density context from the Uptime Institute 2025 survey.
Open Uptime Institute sourceSpecialised leading-edge AI rack range documented by ASHRAE. This is a different engineering problem, not a new fleet-wide average.
Open ASHRAE sourcePower delivery, cooling, heat rejection, equipment space and upgrade risk change together.
05 / System boundaries
Facility electricity, direct cooling water and local heat rejection.
Generation mix, transmission, desalination and indirect water.
Construction, hardware refresh, materials and embodied impact. A “zero-water” or “green” claim is incomplete unless the accounting boundary is explicit.
Open LBNL source06 / Gulf conversion
Wider publicly stated campus ambition.
Open official project statementMore clearly defined compute cluster.
Open official project statementFirst phase publicly expected in 2026.
Open official project statementConnected, commissioned and utilised stages require evidence as they are reached.
Cost, capital, policy, market access and infrastructure quality matter when they reliably become commissioned and productively used compute.
Illustrative sensitivity retained from the paper: a hypothetical 1 GW IT load at 90% utilisation and PUE 1.10 implies about 8.67 TWh annual facility electricity. It is not an official project forecast.
07 / Counter-signals
Efficiency can improve compute per task. Some workloads can shift in time, place or device. Cleaner generation can lower emissions intensity. Their effects remain scenario-dependent and can reduce or redistribute resource intensity rather than remove the physical system.
08 / Executive decision screen
01What Capacity Ladder stage is being reported?
02What is the earliest evidence-based energisation date?
03Which physical dependency controls the schedule?
04What is the summer cooling and water strategy?
05What remains useful through several hardware cycles?
06What local capability remains after commissioning?
The imagery is illustrative, location-neutral and AI-generated. It explains system components and does not represent a named project.
Supports the 415 TWh observed estimate for 2024 and the approximately 945 TWh Base Case forecast for 2030.
Open sourceSupports the 23% share of total metered electricity consumption used by data centres in Ireland in 2025.
Open sourceSupports the single-digit modal-density context. The range is context, not a universal facility average.
Open sourceSupports the specialised leading-edge density context. The 50 to 120 kW range is not presented as a fleet-wide average.
Open sourceSupports separating direct site water from indirect system water and making the accounting boundary explicit.
Open sourceSupports the publicly stated 5 GW campus ambition, 1 GW compute cluster and 200 MW first phase expected in 2026. These statements do not independently verify commissioned or utilised capacity.
Open source1 GW × 90% utilisation × 8,760 hours × PUE 1.10 ≈ 8.67 TWh per year. This is a transparent engineering sensitivity, not an official project forecast.