# Simulation speed on Different GPU cards; same simulation setting

**URL:** <https://gromacs.bioexcel.eu/t/simulation-speed-on-different-gpu-cards-same-simulation-setting/2713>\
**Category:** User discussions\
**Tags:** simulation-setup\
**Created:** [August 23, 2021, 5:49am UTC](https://gromacs.bioexcel.eu/t/simulation-speed-on-different-gpu-cards-same-simulation-setting/2713 "2021-08-23T05:49:34Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jordencabal](https://avatars.discourse-cdn.com/v4/letter/j/edb3f5/32.png) [@jordencabal](https://gromacs.bioexcel.eu/u/jordencabal)\
**Post date:** [August 23, 2021, 5:49am UTC](https://gromacs.bioexcel.eu/t/simulation-speed-on-different-gpu-cards-same-simulation-setting/2713/1 "2021-08-23T05:49:34Z")

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GROMACS version: 2020.4  
GROMACS modification: NO  
CUDA: 11

Dear users,  
I have two types of GPUs with us in two different machines. The first one, GeForce RTX 2080 Ti, and the second one is Tesla V100-SXM2-32GB. Apart from this difference, other things like compilers used and version of the Gromacs package, the Cuda version are all same.

For comparison, I am using the same system in both the system. However, I see a huge reduction in simulation speed (up to 6-8 times slower) in the case of the V100-SXM2-32GB GPU card. It is surprising because this card should have better performance than GeForce RTX 2080 Ti. Also, the CPUs of the machine having V100-SXM2-32GB GPU are better than the old machine.

I wonder why this is happening. Looking forward to your reply.

Thank you