CalcVerse

Cloud GPU Training Cost Calculator

Training cost is mostly GPU-hours: GPUs × wall-clock hours × runs, times the hourly price. Add a buffer for restarts and failed experiments, then storage and egress.

Also called: GPU-hour cost calculator · Model training cost calculator

  • Last updated
  • Formula tested against reference values

Your numbers

Example price only. Enter the current rate from your provider’s price list. For a multi-GPU instance, divide its hourly price by its GPU count.

Include tuning runs and experiments.

Example price only. Enter the current rate from your provider’s price list.

Example price only. Enter the current rate from your provider’s price list.

Result

Total cost
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Calculating…

GPU compute
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GPU-hours billed
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Storage
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Data transfer
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Average cost per run
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How to use this calculator

  1. Enter or choose number of GPUs.
  2. Enter or choose wall-clock hours per run.
  3. Enter or choose price per GPU-hour.
  4. Enter or choose number of runs.
  5. Enter or choose buffer for restarts and idle time.
  6. The total cost updates as you type. Use Copy result or Share to keep it.

Method

GPU-hours = GPUs × Hours × Runs × (1 + Buffer%); Compute = GPU-hours × Rate; Total = Compute + GB × Storage price × Months + Egress GB × Egress price

Hours
wall-clock time of one run
Buffer%
extra time for restarts, debugging and idle GPUs
Rate
price per GPU-hour

Worked example

  1. GPU-hours: 8 × 24 × 3 × 1.10 = 633.6.
  2. Compute: 633.6 × 2.50 = 1,584.
  3. Storage 500 × 0.02 × 2 = 20; egress 100 × 0.09 = 9; total 1,613.

Three 24-hour runs on 8 GPUs at an example 2.50 per GPU-hour cost about 1,613 including storage and egress.

What the result means

GPU time usually dwarfs everything else, so the levers are fewer or shorter runs, better utilisation, and cheaper capacity such as spot or committed-use pricing if your job tolerates it.

Assumptions and limits

  • GPUs are billed for the full wall-clock time of each run.
  • The storage amount is held for the whole storage period.
  • CPU instances, networking between nodes, licences and engineering time are not included.
  • Spot or pre-emptible capacity can be interrupted; increase the buffer if you use it.

Questions

How do I estimate the hours?

Run a short job, measure throughput (samples or tokens per second) and divide your total training data by it. Then add evaluation and checkpointing time.

Does doubling GPUs halve the time?

Rarely exactly. Communication overhead means scaling is less than linear, so the GPU-hours often rise slightly when you add GPUs.