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Free tools

Tools & Calculators

Free AI infrastructure calculators: estimate GPU cloud rental cost, data center power draw and energy cost, and the GPU memory (VRAM) an LLM needs.

Sources attributed Data updated regularly Methodology

Which calculator should you use?

Each tool answers one planning question with simple, transparent arithmetic. They are meant for early budgeting and sanity checks, not as quotes or guarantees. Every result depends on the assumptions you enter, so it is worth noting them next to any figure you share.

GPU cloud cost calculator

Use it when you already know roughly which GPU you want to rent and need to turn an hourly rate into a monthly bill or the cost of a training run. Enter a price per GPU hour, the number of GPUs and how long they will run. It is most useful when comparing an on-demand rate against a reserved or committed rate, or when checking whether a fine-tuning job fits a budget. Prices change often, so take the hourly rate from the provider or from the GPU price tracker on the day you plan.

Data center power calculator

Use it when the question is about electricity rather than rental: how many megawatts a GPU cluster draws, how much energy it uses in a month and what that costs at a given tariff. Enter the IT load, a PUE (power usage effectiveness) value for cooling and facility overhead, and an electricity price. It helps operators, investors and analysts put announced campus sizes into context. For background, read the data center power explainer.

LLM VRAM calculator

Use it before choosing hardware to serve a language model. It estimates memory for the model weights from the parameter count and precision (32, 16, 8 or 4 bits), then adds the runtime overhead and KV-cache you enter, and divides by the usable memory per GPU. The result is a memory-only lower bound for inference: frameworks, context length, batch size and parallelism can all require more, and memory on separate GPUs is not automatically pooled. Try the LLM VRAM calculator and then compare memory sizes in the GPU database.

Using the tools together

A typical sequence is: work out how much GPU memory a model needs, pick a GPU with enough memory, look up current hourly rates from GPU cloud providers, then estimate the monthly cost. If you are planning your own facility instead of renting, the power calculator replaces the last step. The guides explain the terms used here.

All calculations run in your browser; nothing you type is stored. If you spot an error in a formula, please tell us through the contact page.