# GROMACS benchmark on 33 GPUs

**URL:** <https://gromacs.bioexcel.eu/t/gromacs-benchmark-on-33-gpus/10357>\
**Category:** User discussions\
**Tags:** mdrun, analysis-tools, simulation-setup\
**Created:** [October 17, 2024, 6:55am UTC](https://gromacs.bioexcel.eu/t/gromacs-benchmark-on-33-gpus/10357 "2024-10-17T06:55:38Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![psshank](https://dub1.discourse-cdn.com/flex017/user_avatar/gromacs.bioexcel.eu/psshank/32/3627_2.png) [@psshank](https://gromacs.bioexcel.eu/u/psshank)\
**Post date:** [October 17, 2024, 6:55am UTC](https://gromacs.bioexcel.eu/t/gromacs-benchmark-on-33-gpus/10357/1 "2024-10-17T06:55:38Z")

</div>

We benchmarked GROMACS on 30 consumer GPUs and 3 data center GPUs.  
You can read the benchmark here.

> **[Molecular Simulation: GROMACS Benchmark on 30 GPUs](https://blog.salad.com/gromacs-benchmark/)**
>
> We benchmark GROMACS on 30 GPUs on SaladCloud, achieving a 90% cost savings by using consumer GPUs for molecular simulations.
