# No speed increase when using multiple GPUs

**URL:** <https://discuss.pytorch.org/t/no-speed-increase-when-using-multiple-gpus/157869>\
**Category:** vision\
**Created:** [July 29, 2022, 5:22pm UTC](https://discuss.pytorch.org/t/no-speed-increase-when-using-multiple-gpus/157869 "2022-07-29T17:22:01Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\
**Post date:** [August 2, 2022, 4:18am UTC](https://discuss.pytorch.org/t/no-speed-increase-when-using-multiple-gpus/157869/5 "2022-08-02T04:18:19Z")

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Increasing the global batch size might need changes in your training hyperparameters. I think [this topic](https://discuss.pytorch.org/t/average-loss-in-dp-and-ddp/93306) discusses some differences in detail, so you could check if some of them are also valid for your use case.

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