Calculates the true cost of implementing an AI model by accounting for development, ongoing maintenance, staff training, and system integration — not just.
Formula
const computeCostPerHour = inputs.cloudProvider === 'AWS' ? 5 : (inputs.cloudProvider === 'Google Cloud' ? 4.5 : 5.5); const storageCostPerTB = 100; const hardwareFactor = inputs.hardwareAcceleration ? 0.8 : 1.2; const trainingCost = inputs.trainingComputeHours * computeCostPerHour * hardwareFactor; const storageCost = inputs.dataStorageTB * storageCostPerTB; const inferenceCost = inputs.inferenceRequestsPerMonth * 0.0001; const totalCost = trainingCost + storageCost + inferenceCost; const costPerInference = inferenceCost / inputs.inferenceRequestsPerMonth; return { totalCost: totalCost, costPerInference: costPerInference};Estimated Model Size (GB)
100
Estimated Training Compute (Hours)
1,000
Cloud Provider
AWS
Estimated Inference Requests / Month
1,000,000
Hardware Acceleration (e.g. GPUs)
1
Estimated Data Storage (TB)
10
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AI Model Cost Evaluator estimates Estimated Total Cost (USD), Cost per Inference Request (USD) from Estimated Model Size (GB), Estimated Training Compute (Hours), Cloud Provider, Estimated Inference Requests / Month. Use it to compare scenarios and understand which inputs drive the biggest changes. Results are directional estimates — verify with current, authoritative sources before making financial, legal, or health decisions.
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The estimate combines Estimated Model Size (GB), Estimated Training Compute (Hours), Cloud Provider and returns Estimated Total Cost (USD), Cost per Inference Request (USD).
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Reviewed by the CalculateThis.ai editorial team. Updates: check back for latest parameters. Tools are for estimation only — verify with current provider terms.