Costs and billing#

How an estimate is made#

For each machine that meets your requirements:

Output

hours     = work_units / (gpu_speed × gpu_count)
cost      = hours × price_per_gpu_hour × gpu_count
estimate  = cost × (1 + (1 − reliability) × checkpoint_every × 4)

The last factor adds the work expected to be redone after preemptions. Machines are ranked by estimate, and the cheapest one that fits the remaining budget is used.

What you pay for#

Machine time from placement until the job ends or the machine is lost, including time that is later redone after a preemption. There is no charge while a job is queued or recovering.

Preview pricing#

During the preview no card is taken and nothing is charged. Spend shown in the console and API is what the job would have cost at the listed prices.