The Compliance Cost Institute
GPU Training & Inference Cost Estimator
Estimate GPU training and inference costs across providers. Compare A100, H100, H200 pricing with utilization-adjusted calculations.
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Training Workload
Total GPU-hours for a single end-to-end training job (e.g., 8 GPUs × 24 hrs = 192 GPU-hrs)
10 hr500 hr50000 hr
hr
Include fine-tuning jobs, experiment sweeps, and production retraining cadences
14100
Select the GPU class that matches your model size and training requirements
Effective MFU (model FLOPS utilization) — most workloads achieve 30-60%
20%45%90%
%
Larger batch sizes improve utilization but require more VRAM
All calculations run locally in your browser. No data is stored or transmitted.