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Thanks for sharing. I'm using 2080ti for my "at home" projects and going above CUDA 11.0 is indeed breaks lots of things - good luck trying to make something l

by notnap 6y ago

Thanks for sharing. I'm using 2080ti for my "at home" projects and going above CUDA 11.0 is indeed breaks lots of things - good luck trying to make something like colab/kaggle docker image for DS where you have TF+torch+sklearn+more combo. Would you mind sharing resources you used to assemble your software/driver stack for 3090x2 setup?

moyix 6y ago
I went with the NVIDIA Ubuntu repos: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#ubuntu-installation https://docs.nvidia.com/cuda/cuda-installation-guide-linux/i... This is nice because staying updated can be done through the usual apt commands, and you can have multiple CUDA versions installed by installing cuda-11-0, cuda-11-1, etc. Switching between them seems to be as easy as just making sure the appropriate /usr/local/cuda-<version>/bin dir is first in your PATH. In general the NVIDIA documentation is pretty good, and I try to follow their Ubuntu-specific instructions whenever possible.