AI Training Cost

Estimate total training cost for AI models using parameters, tokens, GPU type, cluster configuration, and datacentre overhead. Based on Chinchilla scaling and industry benchmarks.

Model size in billions (e.g. 70, 405)
Training tokens in trillions (manual when Chinchilla off)
GPU model; affects cost and throughput
GPUs in cluster; more = faster training
Percentage added to GPU cost for power, cooling, networking, and facilities. Typical range: 10–30%.
20
When on: uses ~20 tokens/parameter. When off: enter tokens manually.

Calculation

Metric Value
Total Training Cost -
GPU Hours -
Cost per Trillion Tokens -
Tokens used (T) -
Estimated Training Time (days) -
Facility Markup -

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