#Install anaconda ubuntu 20.10 install

Next google your GPU to find out the corresponding compute architecture.

You can find out your GPU by running nvidia-smi.In order to help the build process a little, it might be advisable to specify the compute architecture of your GPU. some required dependencies are not installed. If just running 'make' does not work for you, carefully read the error messages and see whether e.g. cmake), but ships a plain old Makefile instead. Ubuntu does not package them as part of 'nvidia-cuda-toolkit' but we can download them directly from NVIDIA's github page: wget įor whatever reason, NVIDIA did not chose to include a modern build system (e.g. One of the best way to verify whether CUDA is properly installed is using the official 'CUDA-sample'. Test the CUDA toolkit installation /configuration Should indicate that you have CUDA 11.1 installed.

Now your CUDA installation should be complete, and nvidia-smi Add this export CUDA_PATH=/usrĪt the end of your.

#Install anaconda ubuntu 20.10 install

Next we can install the CUDA toolkit: sudo apt install nvidia-cuda-toolkit This should contain the following or similar: Next we can verify whether the drive was succesfully installed: nvidia-smi Next, let's install the latest driver: sudo apt install nvidia-driver-455Īfter this, we need to restart the computer to finalize the driver installation. This might be an optional step, but it is always good to first remove potential previously installed NVIDIA drivers: sudo apt-get purge *nvidia*