https://drive.google.com/uc?id=1frSvyaYf34iT0Ta43J3CD6h-cS7wdokv 1. Update GPU Driver 535.161.07 ->Install NVidia Driver https://docs.nvidia.com/datacenter/tesla/tesla-installation-notes/index.html sudo apt install gcc sudo apt install make Ctrl+Alt+F1 sudo init 3 sudo sh /home/i/filename.run sudo reboot Run as root: sudo su - /home/i/nvidia.run nvidia-smi sudo apt-get install zlib1g 2. CUDA Toolkit (~4GB) ->cuda toolkit nvcc --version which nvcc sudo apt install nvidia-cuda-toolkit dpkg -L nvidia-cuda-toolkit /usr/lib/cuda/ 3. cuDNN tar -xzvf cudnn-11.2-linux-x64-v8.1.1.33.tgz sudo cp cuda/include/cudnn*.h /usr/lib/cuda/include sudo cp cuda/lib64/libcudnn* /usr/lib/cuda/lib64 sudo chmod a+r /usr/lib/cuda/include/cudnn*.h /usr/lib/cuda/lib64/libcudnn* 4. Tensorflow For the CPU-only build use the pip package named tensorflow-cpu. https://www.tensorflow.org/install/pip.html#system-install python3 --version pip --version ->cuDNN Download https://developer.nvidia.com/rdp/cudnn-download https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html cat /usr/lib/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2 kvm-ok export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/lib/cuda/lib64:/usr/lib/cuda/extras/CUPTI/lib64" export CUDA_HOME=/usr/lib/cuda export PATH=/usr/lib/cuda/bin:$PATH sudo systemctl mask sleep.target suspend.target hibernate.target 24 Mar 2023-> 585.9Mb pip3 install --user --upgrade tensorflow