01
How many GPUs are required
Calculate the minimum GPU count from the number of model parameters and available VRAM, with an alert when distributed training across nodes is required.
AI Training Cost Calculator
Estimate the cost before requesting a quote. Enter the model size and dataset volume to calculate the required GPU count and runtime, then multiply by the list price for a cost range.
Three questions the estimate answers
02
How long training will take
Estimate training hours from the dataset volume and target epoch count. This value directly determines the bill.
03
The expected cost range
Multiply the GPU count by training hours and list price for the upper end of an on-demand estimate. Contracts of 3 months or longer may cost less.
List prices used in the estimate
| Model | Hourly price from | GPU memory | Typical use |
|---|---|---|---|
| NVIDIA B200 | $3.00 | 180GB | Large-model training and long contexts |
| NVIDIA H200 | $2.30 | 141GB | A balanced option for training and large-model inference |
| NVIDIA H100 | $2.00 | 80GB | Established training workflows with mature framework support |
Not sure how much compute your model needs?
Share the model and training scale, and we will estimate the required GPU configuration and cost.