Equinix Inc.

Colocation

Legal name: Equinix Inc. · HQ: US · Public (EQIX) · Founded 1998

World's largest data center colocation company, hosting significant AI compute for multiple cloud providers. Publishes facility-level PUE and renewable energy procurement. Tenant workload attribution and AI-specific energy use are not available.

Disclosure Quality

Score

48/100

Transparency Grade

T-3

partial disclosure

Grades run T-1 (most transparent) to T-5 (least transparent).

Red flags identified (1)

  • RF-01 · Total energy consumption not disclosed

See the disclosure audit below for details.

Fiscal year 2023. Score computed from OpenButterfly T1–T6 disclosure framework audit. Confidence tier: C (Estimated, Documented Method).

Environmental Metrics

Fiscal year 2026. Each metric is shown at its most recent available year; rows from a different year are marked.

Confidence tiers: A measured and verified · B company-reported · C documented estimate · D uncertain estimate · E modeled · ND not disclosed.

Total Energy Consumption

9.7 TWh

≈ the annual electricity use of 923,000 US homes

method: known_capacity_model

Source: OpenButterfly pipeline

C

AI-Specific EnergyFY 2023

Not DisclosedNDchecked 2025-05-23

Tenant workload attribution is not available. AI-specific energy is not separable from colocation aggregate.

ND

Scope 1 Emissions

71 kt CO₂e

≈ the annual emissions of 15,000 passenger cars

method: scope1_ratio_model

Source: OpenButterfly pipeline

E

Scope 2 Emissions (market-based)

142 kt CO₂e

≈ the annual emissions of 31,000 passenger cars

method: grid_carbon_model

Source: OpenButterfly pipeline

D

Scope 3 Emissions

2.17 Mt CO₂e

≈ the annual emissions of 472,000 passenger cars

method: scope3_ratio_model

Source: OpenButterfly pipeline

E

Water Withdrawal

13.4 GL

≈ 5,376 Olympic swimming pools of water

method: wue_model

Source: OpenButterfly pipeline

D

Water Usage Effectiveness (WUE)FY 2023

1.44 L/kWh

Average water usage effectiveness across Equinix-operated facilities. WUE = water used per energy consumed (L/kWh).

Source: Equinix 2023 Global Impact Report

B

Property-Line Noise (estimated)

~55 dBA at property line

method: cooling_load_noise_model

Source: OpenButterfly pipeline

E

Disclosure Audit

Show 5 disclosure checks (T1–T6 framework)
T1.1

Total electricity consumption disclosed

100% renewable coverage reported; total MWh consumption not disclosed in a directly usable form.

RF-01 (Total energy consumption not disclosed)

Partial
T2.2

Scope 2 market-based emissions disclosed

Reported as zero via renewable energy procurement.

Fully Disclosed
T3.2

Water usage effectiveness (WUE) disclosed

Average WUE of 1.44 L/kWh disclosed.

Fully Disclosed
T1.2

AI-specific energy consumption disclosed

Tenant workload attribution is not possible in colocation model.

Not Disclosed
T6.1

GHG accounting methodology documented

GHG Protocol referenced; third-party verification in place.

Fully Disclosed

Sources

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