# NVIDIA GeForce RTX 3090 with CUDA capability sm\_86 is not compatible with the current PyTorch installation

**URL:** <https://discuss.pytorch.org/t/nvidia-geforce-rtx-3090-with-cuda-capability-sm-86-is-not-compatible-with-the-current-pytorch-installation/141940>\
**Category:** torchx\
**Created:** [January 18, 2022, 1:55pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-3090-with-cuda-capability-sm-86-is-not-compatible-with-the-current-pytorch-installation/141940 "2022-01-18T13:55:30Z")\
**Posts on this page:** 1\
**Showing post:** 21

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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 12, 2022, 4:00pm UTC](https://discuss.pytorch.org/t/nvidia-geforce-rtx-3090-with-cuda-capability-sm-86-is-not-compatible-with-the-current-pytorch-installation/141940/21 "2022-08-12T16:00:18Z")

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Your install steps focus heavily on installing the CUDA toolkit, which will only be used if you build PyTorch from source or a custom CUDA extension. The pip wheels and conda binaries ship with their own CUDA runtime that you are selecting during the install process.  
You would only need to install a proper NVIDIA driver and should be able to use the binaries (unless you want to compile CUDA code and build PyTorch with it or an extension).

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_[View the full topic](https://discuss.pytorch.org/t/nvidia-geforce-rtx-3090-with-cuda-capability-sm-86-is-not-compatible-with-the-current-pytorch-installation/141940)._