Vagrant.configure("2") do |config|
  config.vm.box = "ubuntu/bionic64" # Or any other preferred Linux distribution
  
  # Configure VM hardware
  config.vm.provider "virtualbox" do |vb|
    vb.memory = "32768"
    vb.cpus = 4
    vb.customize ["modifyvm", :id, "--ioapic", "on"]
    vb.customize ["modifyvm", :id, "--vram", "10240"] # Set VRAM to 10GB
    vb.customize ["modifyvm", :id, "--graphicscontroller", "vmsvga"]
    vb.customize ["modifyvm", :id, "--accelerate3d", "on"]
  end

  # Provisioning script
  config.vm.provision "shell", inline: <<-SHELL
    # Update and install prerequisites
    sudo apt-get update
    sudo apt-get install -y curl gnupg build-essential

    # Add NVIDIA package repositories
    distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
    sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64/7fa2af80.pub
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/$distribution/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
    echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/$distribution/x86_64 /" | sudo tee /etc/apt/sources.list.d/nvidia-ml.list

    # Install NVIDIA drivers and CUDA toolkit
    sudo apt-get update
    sudo apt-get install -y cuda

    # Add CUDA to the PATH
    echo 'export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc
    source ~/.bashrc

    # Install Tailscale
    curl -fsSL https://tailscale.com/install.sh | sh

    # Install K3s
    curl -sfL https://get.k3s.io | sh -

    # Add your SSH public key (replace with your actual public key)
    mkdir -p ~/.ssh
    echo "" >> ~/.ssh/authorized_keys
    chmod 600 ~/.ssh/authorized_keys

    # Restart SSH service
    sudo service ssh restart

    # Install NVIDIA container toolkit
    curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
    distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
    curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
    sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit

    # Restart Docker to load the NVIDIA runtime
    sudo systemctl restart docker
  SHELL
end