Calculate the projected costs for deploying GPT-6 with this practical guide and practical calculator.
Formula
const hardwareBaseCost = inputs.modelSize * inputs.inferenceInstances * (inputs.instanceType === 'GPU - Standard' ? 1000 : (inputs.instanceType === 'GPU - High Performance' ? 2500 : 500)) * inputs.hardwareCostMultiplier; const electricityConsumption = inputs.inferenceInstances * (inputs.instanceType === 'GPU - Standard' ? 0.5 : (inputs.instanceType === 'GPU - High Performance' ? 1.0 : 0.1)) * 24 * 30; const monthlyElectricityCost = electricityConsumption * inputs.electricityCost; const annualSupportCost = inputs.supportEngineers * 150000; const totalAnnualCost = hardwareBaseCost + (monthlyElectricityCost * 12) + annualSupportCost; return { totalHardwareCost: hardwareBaseCost, monthlyElectricityCost: monthlyElectricityCost, annualSupportCost: annualSupportCost, totalAnnualCost: totalAnnualCost };Model Size (Billions of Parameters)
175
Number of Inference Instances
100
Instance Type
GPU - Standard
Electricity Cost per kWh (USD)
0.12
Number of Support Engineers
5
Hardware Cost Multiplier (for redundancy/scaling)
1.2
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With the default inputs (175B parameters, 100 inference instances, GPU - Standard, $0.12 electricity cost per kWh, 5 support engineers, and 1.2 hardware cost multiplier), this calculator returns $21,000,000 total hardware cost, $4,320 monthly electricity cost, $750,000 annual support cost, and $21,801,840 total annual cost.
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The estimate combines Model Size (Billions of Parameters), Number of Inference Instances, Instance Type and returns Total Hardware Cost (USD), Monthly Electricity Cost (USD), Annual Support Engineer Cost (USD).
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