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About

How we rank & score

Layer 1 of the AI stack

Energy

The binding constraint on AI in 2026 is not chip allocation. It is megawatts, interconnection queues, and the physics of getting electrons to a rack. Every price further up this stack is downstream of the numbers on this page.

The situation, in five numbers

US interconnection queue
2,600+ GW, waits approaching 5 years
Projects that withdraw
nearly 80%
Demand growth
29 GW more needed by 2027, 67 GW by 2030 (Eric Schmidt); 126 GW additional demand through 2028 with a 49 GW US generation shortfall (Morgan Stanley)
Data centre share of US electricity
6-12% of total US electricity by 2026, up from 4% in 2024
Rack density
average rack density up 69% year-over-year to ~27 kW; GB200 NVL72 draws 120-132 kW, GB300 135-200 kW

The consequence nobody states plainly: a queue position is not a power supply. With four in five projects withdrawing, announced gigawatts and delivered gigawatts are different numbers — and press releases quote the first. If your interconnection date is 2031, your 2026 chip decision is really a 2031 chip decision.

Where the power comes from

10 options, ordered by nothing — they are not ranked, because the right answer is entirely decided by when you need power and what you will accept. Lead time is the field to read first.

How the heat leaves

The crossover where liquid cooling beats air sits near 30 kW a rack on ten-year cost and 45–50 kW on thermals. Above that it stops being a choice: NVIDIA has confirmed liquid cooling is a mandatory architectural requirement for GB200 NVL72.

The numbers that decide

Head to head

What it powers

Layer 2 — Silicon · The five-layer map

Verified 2026-09-06. Macrostack sells nothing at this layer and takes no commission on any option here. Everyone else qualified to write this comparison sells one of the answers — that conflict is the reason it did not exist.

The Macrostack brief

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