Yield Theory

Calculator

GPU Cloud Unit-Economics Calculator

Estimate GPU rental revenue, electricity cost, contribution, and hardware payback.
Annual contribution
$581,887
Annual revenue
$911,040
Simple hardware payback
3.3 years

Utilization and realized price usually dominate the model. Hardware cost alone does not capture networking, facilities, financing, software, failures, or refresh risk.

A quoted GPU-hour price is not the same as realized revenue or return on hardware. This model combines GPU count, acquisition cost, utilization, rental price, power draw, electricity price, and other annual costs to estimate revenue, contribution, and simple hardware payback.

Formula reviewed 2026-08-021 primary sourceMethodology and disclosures →

How this gpu cloud unit-economics calculator works

The model multiplies installed GPUs by billable hours and realized price. It subtracts modeled electricity and other annual operating costs, then divides hardware acquisition cost by annual contribution.

Formula

Annual revenue = GPUs × 8,760 × utilization × realized price per GPU-hour

Networking, CPUs, storage, buildings, software, support, customer concentration, debt service, and hardware failure can materially change economics.

Before you use the result

Assumptions

  • Utilization represents billable—not merely powered-on—hours.
  • Power draw includes an explicit allocation for system and facility overhead.
  • Simple payback ignores financing, taxes, residual value, and the time value of money.

Quick start

  1. 1. Use realizable contracted pricing rather than an advertised on-demand rate.
  2. 2. Stress utilization, power, downtime, and non-power operating costs.
  3. 3. Compare payback with hardware life and the risk of price-performance obsolescence.

Frequently asked questions

What is billable GPU utilization?

It is the share of total installed GPU-hours that produces customer revenue, after idle time, maintenance, and internal use.

Does payback equal investment return?

No. Simple payback ignores timing, financing, taxes, residual value, and cash flows after the payback date.

Why include other annual costs?

GPU operators also incur networking, facilities, staffing, software, maintenance, support, insurance, and financing costs.

The server can pay back. Who captures the economics?

Yield Theory follows the AI infrastructure stack from silicon and memory through power, financing, pricing, and public-company exposure.

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