AI Data Center Power & Cost Calculator

Estimate the electricity load and cost of running a GPU cluster, from the chip level up to the facility meter.

Inputs

Allowed range: 15,000,000 (whole numbers only)

Allowed range: 13,000

Allowed range: 0200

Allowed range: 14

Allowed range: 0100

Allowed range: 024

Allowed range: 1366 (whole numbers only)

Allowed range: 010

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How this is calculated

  1. 1. GPU load

    GPU load (kW) = GPU count × GPU power draw at full compute load (W) × utilization ÷ 1000

    Utilization is used here as a simplified linear scaling factor on top of the GPU's power draw at full compute load — not a measured power curve. In reality, GPUs draw meaningful power even at idle, and real power draw does not necessarily scale linearly with utilization. This model ignores both effects, so the result is a planning approximation, not a measured or guaranteed load.

  2. 2. Total IT load

    IT load (kW) = GPU load × (1 + additional IT overhead %)

    IT overhead accounts for CPUs, memory, storage, networking, and power supplies around the GPUs themselves.

  3. 3. Facility load

    Facility load (kW) = IT load × PUE

    Power Usage Effectiveness (PUE) captures the overhead of cooling, power distribution losses, lighting, and other non-IT facility draw. A PUE of 1.3 means for every 1 kW delivered to IT equipment, the facility draws 1.3 kW at the meter.

  4. 4. Energy consumption

    Daily energy (kWh) = Facility load (kW) × hours operated per day
    Annual energy (kWh) = Daily energy × operating days per year
    Monthly energy (kWh) = Annual energy ÷ 12

    Calculation convention: monthly figures are always annual energy divided by twelve, not daily energy multiplied by a fixed day count. This keeps the monthly and annual numbers internally consistent regardless of how many days per year you enter.

  5. 5. Electricity cost

    Annual cost = Annual energy (kWh) × electricity price per kWh
    Monthly cost = Annual cost ÷ 12

    Cost uses a single flat electricity price you provide. It does not model tiered pricing, demand charges, or currency conversion — QAR and USD are treated as independent input currencies, not converted between each other.

Input bounds and validation

Every field has a stated, realistic range, and GPU count and operating days per year must be whole numbers. If any field is empty, out of range, or otherwise invalid, the calculator shows which fields need correction instead of guessing on your behalf — it never substitutes a default or rounded value for something you typed, so a result you see always corresponds exactly to the values shown in the fields. The shareable link only updates once every field is valid, for the same reason. If you've opened a shared link, the calculator reads its values as soon as the page loads in your browser — you may see a brief "Loading calculator…" message rather than a result computed from the wrong numbers while that happens. Your inputs are never sent to a server or stored anywhere outside your browser's address bar — the calculator runs entirely client-side, and the only persistence is that optional, human-readable query string.