Infrastructure Explained · No. 08
The AI Infrastructure Stack
Six layers between a power plant and a model in production.
The Intelligent Infrastructure Review · August 1, 2026 · 4 min read
AI capability is often discussed at the top of the stack, where models and applications live. Every layer beneath it is physical, permitted, and capital-intensive — and each one caps what the layers above can do.
Diagram
Infrastructure Explained · No. 08
The Intelligent Infrastructure Review
The AI Infrastructure Stack
Read bottom to top: each layer is limited by the one beneath it.
Applications and outcomes
What the organization actually gets
Models and workloads
Training, inference, scheduling
Compute and networking
Accelerators, fabric, storage
Facility systems
Cooling, distribution, redundancy
Energy supply
Generation, storage, interconnection
Site and community
Land, water, permits, workforce
Key takeaways
What to carry out of this
- 01
Capability at the top of the stack is bounded by deliverable power and cooling at the bottom.
- 02
Investment decisions made at one layer create obligations at every layer below it.
- 03
Cooling strategy links the facility layer to the water, land, and community layer directly.
- 04
The stack is owned by different parties, so integration is a governance problem as much as an engineering one.
The decision-maker question
At which layer does your current plan run out of headroom first?
Go deeper
Exploring the AI Energy Ecosystem
The flagship series mapping the full system from energy resources to community outcomes.
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