GPU Training Time Calculator

Estimate total training time based on dataset size, samples per second, epochs, and GPU count.

Total training samples.
Average throughput of one GPU.
How many passes through the dataset.
Total GPUs used in parallel.
Accounts for communication overhead.
Validation, checkpoints, restarts, setup.
How we calculate

Effective throughput = speed per GPU × GPU count × scaling efficiency. Total time = dataset size × epochs ÷ effective throughput, plus runtime overhead.