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How to install CUDA 10.2, CuDNN 7.6.5, TensorRT 7.0 in the AWS T4 instance.

Step 0: AWS setup (~1 minute)

Create a g4dn.xlarge AWS instance. Attach at least 30 GB of HDD space with Ubuntu 18.04.

Step 1: Installing CUDA (~5.5 minutes)

You can also install CUDA directly from the offline installer, but this is a little easier.

sudo apt update
sudo apt upgrade -y

mkdir install ; cd install
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
sudo apt-get update
sudo apt-get -y install cuda-10-2

Step 2: Installing CuDNN (~2 minutes)

  1. Download CuDNN here (BOTH the runtime and dev, deb). Use version 7.6.5.
  2. scp the deb files to AWS 3.
    sudo dpkg -i libcudnn7_7.6.5.32-1+cuda10.2_amd64.deb
    sudo dpkg -i libcudnn7-dev_7.6.5.32-1+cuda10.2_amd64.deb
    

Step 3: Installing TensorRT (~2 minutes)

  1. Download TensorRT here. Use version 7.0.
  2. scp the deb files to AWS. 3.
    sudo dpkg -i nv-tensorrt-repo-ubuntu1804-cuda10.2-trt7.0.0.11-ga-20191216_1-1_amd64.deb
    sudo apt update
    sudo apt install tensorrt libnvinfer7
    

Step 3.5: Add to .bashrc

I don’t actually know if this step is required, but it might be helpful for other things.

export CUDA_HOME=/usr/local/cuda
export DYLD_LIBRARY_PATH=$CUDA_HOME/lib64:$DYLD_LIBRARY_PATH
export PATH=$CUDA_HOME/bin:$PATH
export C_INCLUDE_PATH=$CUDA_HOME/include:$C_INCLUDE_PATH
export CPLUS_INCLUDE_PATH=$CUDA_HOME/include:$CPLUS_INCLUDE_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_RUN_PATH=$CUDA_HOME/lib64:$LD_RUN_PATH

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