# Can i run the default cuda 11.3 conda install on cuda 11.6 device? **URL:** \ **Category:** Uncategorized\ **Created:** [May 28, 2022, 12:52pm UTC](https://discuss.pytorch.org/t/can-i-run-the-default-cuda-11-3-conda-install-on-cuda-11-6-device/152811 "2022-05-28T12:52:08Z")\ **Posts on this page:** 1\ **Showing post:** 4
**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:** [May 28, 2022, 8:03pm UTC](https://discuss.pytorch.org/t/can-i-run-the-default-cuda-11-3-conda-install-on-cuda-11-6-device/152811/4 "2022-05-28T20:03:26Z")
> [@jayz](#): > > Or do I need to downgrade to cuda 11.3 first? No, you don’t need to downgrade your local CUDA toolkit as it would only be used if you are building PyTorch from source or custom CUDA extensions. The binaries ship with their own CUDA runtime and will work. > [@jayz](#): > > However, i end up getting crashes in the new environment that are related to some matplotlib issue with the package freetype. I have not managed to solve it. Could you give me a hint how to set up a full proper environment with 11.6? Create a new virtual environment and reinstall all packages there. > [@jayz](#): > > To be more precise, the RTX delivers approximately a speedup x2 TF32 is disabled by default since ~3 weeks ago so your nightly binary would also not use it. You can re-enable it in case you are using the default `float32` data type. Also take a look at the [performance guide](https://pytorch.org/tutorials/recipes/recipes/tuning_guide.html) and familiarize yourself with profilers to narrow down bottlenecks as your training could also be blocked by e.g. the data loading while the GPU sits idle. --- _[View the full topic](https://discuss.pytorch.org/t/can-i-run-the-default-cuda-11-3-conda-install-on-cuda-11-6-device/152811)._