Free interactive tool
Turn announced gigawatts into revenue capacity.
Announcements are made in gigawatts and business cases are made in dollars. This converts between them explicitly, so the assumptions doing the work stay visible: GPU density, utilisation, and price.
Illustrative output. Not investment, financial, or tax advice.
- Implied capacity
- 1.000 GW
- Annual GPU-hours
- 613.2M
- Annual revenue
- $1.53B
- Revenue per GW
- $1.53B
That is 0.15× the widely-quoted $10B-per-GW rail. The rail is a comparison heuristic, not a greencio estimate — it is useful mainly for showing how much work the density and price assumptions are doing.
Assumptions applied
- GPU density: 100K GPUs/GW
- Utilization: 70.00%
- Hours per year: 8.76K
- GPU-hour price: $2.5/GPU-hour
- Reference rail: $10B/GW heuristic for comparison only
Illustrative output. Not investment, financial, or tax advice.
Turn the number into a decision
Revenue capacity assumes the megawatts arrive. Whether they will is a separate question, and usually the binding one.