MLOps Pipeline Cost Calculator
Estimate monthly MLOps costs including training, serving, storage, and monitoring infrastructure.
Inputs
Results
Total Monthly Cost
$1,535.00
≈ 12 pairs of sneakers
Annual Cost
$18,420.00
≈ 9 gaming PCs
How to Use This Calculator
- Enter Training Runs/Month, Serving Instances, and Data Storage (TB).
- Set Monitoring & Observability, Disabled, and Enabled.
- Review Total Monthly Cost ($) and Annual Cost ($).
- Use Training Cost ($) and Serving Cost ($) to inform your decision.
- Use the chart to visualize the results and explore different scenarios by adjusting inputs.
How the result changes with Serving Instances
| Serving Instances | Total Monthly Cost | Annual Cost |
|---|---|---|
| 11 | $5,225.00 | $62,700.00 |
| 36 | $15,475.00 | $185,700.00 |
| 65 | $27,365.00 | $328,380.00 |
| 90 | $37,615.00 | $451,380.00 |
What each input means
- Training Runs/Month
- Number of model training or retraining runs per month
- Serving Instances
- Number of inference endpoint instances running 24/7
- Data Storage (TB)
- Total data storage for training data, model artifacts, and logs
- Monitoring & Observability
- Model monitoring for drift detection, performance tracking, and alerting
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersTraining Runs/Month = 8, Serving Instances = 2, Data Storage (TB) = 5, Monitoring & Observability = 1 = 4 input(s) provided
- Calculate Total Monthly CostTotal Monthly Cost1535 = $1,535
- Calculate Training CostTraining Cost400 = $400
- Calculate Serving CostServing Cost720 = $720
Engine last updated . Checked against 2 independently-derived tests — how we verify calculators.
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