Training run — cost & time
Estimate a training run end to end: model parameters and tokens (6·P·T FLOPs), MFU, cluster size, and goodput → wall-clock days, GPU-hours, rental cost, facility energy, and emissions.
Training run — time, cost, energy & CO₂
MFU and goodput compound: a 40% MFU × 90% goodput scenario yields 36% of peak theoretical FLOPs as committed training work under the declared definitions. Treat 90% versus 96% only as an illustrative sensitivity; measure the named fleet, job, window, and event accounting, then attribute badput before assigning any gap to checkpointing or cordon policy → Ch 12.2.
These are transparent screening estimates, not final designs, financial advice, or project approvals. Replace every default with current project data and have the responsible project authorities validate the result. You can save, share a permalink, or export to CSV; see the full calculator suite.