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AI energy · Projects

AI infrastructure,
at scale.

Major AI infrastructure projects and the power behind them. Figures are public estimates and labeled as such, not live telemetry.

Colossus (xAI)

Operational and expanding

xAI's Memphis facility is one of the most-discussed examples of a rapidly built, very large AI training cluster, notable for the speed of its build-out and for the local power and environmental questions it raised.

Operator
xAI
Location
Memphis, Tennessee, United States
Power
Hundreds of MW (expanding)
Purpose
Large-scale training cluster for xAI's frontier models.

Stargate

Announced / under development

Stargate is an example of gigawatt-scale AI infrastructure planning, illustrating how the largest AI buildouts are now framed in gigawatts of power rather than megawatts.

Operator
OpenAI and partners
Location
United States (multiple sites)
Power
Multi-GW planned
Purpose
A multi-site, multi-year program to build very large AI compute infrastructure.

Hyperscaler AI campuses

Operational and expanding

The major cloud providers are each building dedicated AI campuses at large power scale, and are among the biggest corporate buyers of clean energy to supply them.

Operator
Microsoft, Google, Amazon, Meta
Location
Global
Power
Hundreds of MW per campus
Purpose
Cloud-scale AI training and inference for first-party and customer workloads.

Nuclear power agreements

Emerging

A wave of agreements ties AI data centers to nuclear generation, including reactor restarts and planned small modular reactors, to provide steady around-the-clock clean power.

Operator
Various AI and power companies
Location
United States and elsewhere
Power
Plant-scale
Purpose
Securing firm, low-carbon power for AI data centers.

Grid and transmission upgrades

Ongoing

Utilities are planning new generation and transmission, and in some cases delaying plant retirements, to meet AI-driven demand growth, with interconnection timelines a key constraint.

Operator
Utilities and grid operators
Location
Global
Power
System-scale
Purpose
Expanding capacity to connect new large AI loads.
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