290 records
01 · Command Centre

Data centre
intelligence.

India's data-centre build-out measured across six independent dimensions — capacity, energy, carbon, water, waste heat and community exposure — with the evidence behind every number stated up front.

0
Facilities in view
0
MW IT capacity
0.0
MWh energy per year
Facilities in view
0
records
IT capacity 2026
0k
MW IT
2k MW ultimate
Annual energy
0.0m
MWh per year (modelled)
Annual carbon
0.0m
tCO₂e per year · Scope 2 location-based
Annual water
0.0m
m³ per year · on-site only
Waste heat
0k
MW thermal rejection rate
Residents within 1 km
0.0m
people · sums overlap in clusters
Employment
0k
FTE (estimated)
Capacity growth 2020→2026
+0%
modelled back-cast
Median record confidence
0.00
of 5 · evidence strength
Below 3 means inference dominates.
Where it lands

India facility map — bubble area is IT capacity

Coordinates are area centroids accurate to roughly 1–3 km. Bubbles show siting patterns, not property boundaries.

Bubble area ∝ value · coordinates are area centroids (±1–3 km), not rooftop positions

Top states by modelled energy

Click a bar to filter the whole Atlas.

India trajectory, 2020–2026

Capacity in MW, energy in GWh, carbon in ktCO₂e.

Six independent dimensions

The Atlas never collapses impact into a single number

Each pillar carries its own unit, its own evidence strength and its own limitation. Read them side by side.

Pillar 1
8.6mtCO₂e/yr
Carbon Emissions

Location-based Scope 2 emissions from modelled electricity demand and national grid factors.

Location-based Scope 2 only, using national average grid factors. Scope 1 and Scope 3 are absent entirely; sub-national grid variation is not represented.

Pillar 2
12.2mMWh/yr
Energy Consumption

Annual electricity demand modelled from IT capacity, load factor and PUE.

Every energy value is MODELLED (Capacity × 8,760 × Load Factor × PUE). No facility in this dataset is metered.

Pillar 3
1.4kMW thermal
Waste Heat Generated

Energy-balance thermal rejection rate, with cooling technology and local climate context.

Waste heat is an energy-balance proxy (an annual average rejection RATE), never a measured local temperature rise. Cooling technology is inferred from the water ratio.

Pillar 4
22.1mm³/yr
Water Consumption

On-site cooling water demand, water stress and scarcity-weighted demand.

Water = Energy × WUE and covers ON-SITE cooling only; it excludes upstream water embodied in electricity generation. Water stress is an area-level band, not a coordinate-level lookup.

Pillar 5
15.9kdB(A) at 50 m
Noise

Capacity-based boundary noise screening indicator with residential setback and land-use context.

THE WEAKEST PILLAR IN THIS WORKBOOK. Noise is a capacity-based engineering proxy and setback is a land-use class band. Neither has been measured at any facility — use for screening only.

Pillar 6
9.7mresidents within 1 km
Communities Impacted

Population exposure, employment, infrastructure pressure and documented community evidence.

Zero documented complaints does not mean zero complaints occurred — it means no complaint record was located in the sources consulted.

India and Singapore are covered nationally. The USA, UK, Ireland, Germany and Brazil are each represented by ONE flagship cluster (Northern Virginia, London/Slough, Dublin, Frankfurt Rhein-Main, São Paulo State) — these rows are NOT national totals.

Nothing here is a measurement. Energy is capacity × 8,760 × load factor × PUE; water is energy × WUE; carbon is energy × grid factor. Errors in the input parameters propagate directly into every figure above.