How to Install CUDA on Ubuntu 16.04 EC2 AWS

Installing CUDA on an Ubuntu 16.04 instance on Amazon Web Services (AWS) can be a bit of a challenge, but with these instructions, you should be able to successfully install and configure your system for CUDA development.

The first step is to extract the CUDA installer from the downloaded tarball. To do this, navigate to the directory where you saved the tarball and run the following command:

```

./cuda_8.0.44_linux-run -extract=`pwd`/nvidia_installers

```

This will create a new directory called `nvidia-installers` containing the extracted installer files.

Next, you'll need to register with NVIDIA and obtain a download link for the CUDA installation package. This requires approval, so be prepared to wait a few minutes before your link is activated.

Once you have the download link, you can begin installing the necessary packages for CUDA development. Start by running the following command:

```

sudo apt-get install -y linux-source

```

This will install the Linux source code package, which is required for building and compiling CUDA applications.

Next, install the `linux-headers` package, replacing `` with the version number of your kernel:

```

sudo apt-get install -y linux-headers-$(uname -r)

```

You'll also need to install the `linux-image-extra-virtual` package:

```

sudo apt-get install -y linux-image-extra-virtual

```

Some users may encounter issues with the Nouveau driver, which can conflict with the NVIDIA driver. To blacklist Nouveau and disable it, run the following command:

```

echo 'blacklist nouveau' | sudo tee /etc/modprobe.d/nvidia-blacklist.conf

```

You'll also need to install a few additional packages required by CUDA, including `build-essential`, `python-pip`, `python-dev`, `git`, `python-numpy`, `swig`, and `default-jdk`:

```

sudo apt-get install -y build-essential python-pip python-dev git python-numpy swig default-jdk

```

Finally, upgrade your system to ensure you have the latest packages installed:

```

sudo apt-get upgrade -y

```

Once these steps are complete, you should be able to configure and test your CUDA installation. Remember that some of these steps may require a reboot before they take effect.

For more detailed instructions on installing CUDA on Ubuntu 16.04 EC2 AWS, I recommend checking out the excellent blog post referenced in this tutorial. With these steps, you should have everything you need to get started with CUDA development on your AWS instance.

How to install cuda on ubuntu 16.04 ec2 aws