INTERACTIVE COMPUTE PLANNER

Make the assumptions visible.

Compare two allocation scenarios. Every result comes from the values you enter, with no provider pricing or availability feed.

Scenario A

Scenario B

Compare the allocation

What the numbers mean

Transparent formulas and assumptions

Allocated GPU-hours = GPUs × days × allocated hours per day.
Active-equivalent GPU-hours = allocated GPU-hours × utilisation / 100.
Compute rental = allocated GPU-hours × entered US$ rate.
Rental per active-equivalent GPU-hour = compute rental / active-equivalent GPU-hours.
Illustrative facility energy (MWh) = allocated GPU-hours × average GPU watts / 1,000,000 × other IT multiplier × PUE.

Energy is a separate planning envelope

Enter average electrical draw across the allocation, including idle time. Do not enter TDP unless deliberately modelling a full-power envelope. The IT multiplier estimates CPU, memory, storage and networking overhead. PUE adds facility overhead such as cooling. Utilisation does not automatically reduce this energy estimate. These factors are your assumptions, not measured provider data. No electricity charge is added to compute rental; cloud rates commonly include power.

What this planner does not predict

It does not estimate tokens, model training time, accuracy, scaling efficiency, CPU-only workloads, carbon emissions, GPU availability or full ownership cost. Rental excludes storage, software licences, data transfer, support, tax, minimum commitments and contract charges. Compare workload benchmarks and total quoted charges before buying.

Scenario B is a different allocation, not a claim of equivalent output. Higher utilisation does not prove that a smaller cluster can complete the same work. Planning values stay in this browser page and are included only in a file when you choose Download.