update setup with latest steps

scripts/openstack/02_setup_vm.sh

@@ -1,59 +1,24 @@
 # Connect to the machine via ssh
-# ssh -v -i ~/.ssh/id_rsa_project1 ubuntu@134.94.88.118
-# ssh -v -i ~/.ssh/id_rsa_project2 ubuntu@134.94.88.74
+# ssh -v -i ~/.ssh/id_rsa rocky@134.94.198.230 # IP should reflect the created floatingIP
 
-# Updates
-echo "Updating distro"
-sudo apt update && sudo apt upgrade
+# Bring VM to latest state and install some dependencies
+sudo dnf update -y # cosmetic for getting the latest kernel in
+sudo shutdown 1 -r
+sudo dnf config-manager --set-enabled crb
+sudo dnf -y install epel-release
+sudo dnf install -y gcc gcc-c++ make kernel-headers-$(uname -r) kernel-devel-$(uname -r) tar bzip2 automake elfutils-libelf-devel libglvnd libglvnd-devel libglvnd-opengl libglvnd-glx acpid pciutils dkms
 
-# Install NVIDIA drivers
-echo "Installing NVIDIA driver"
-sudo apt install -y gcc make g++
-sudo apt-get install linux-headers-$(uname -r)
-curl -o /tmp/NVIDIA-Driver.latest.run https://hpsrepo.fz-juelich.de/jusuf/nvidia/NVIDIA-Driver.latest
-chmod 755 /tmp/NVIDIA-Driver.latest.run
-sudo mkdir /etc/nvidia
-curl -o /tmp/gridd.conf https://hpsrepo.fz-juelich.de/jusuf/nvidia/gridd.conf
-sudo mv /tmp/gridd.conf /etc/nvidia/gridd.conf
-sudo /tmp/NVIDIA-Driver.latest.run --ui=none --no-questions --disable-nouveau
-# sudo reboot # run if needed
+# Install Nvidia driver
+sudo dnf config-manager --add-repo http://developer.download.nvidia.com/compute/cuda/repos/rhel9/$(uname -i)/cuda-rhel9.repo
+sudo dnf module -y install nvidia-driver:latest-dkms
+sudo shutdown 1 -r
 
-# Add the following to ~/.bashrc
-#export PATH=/usr/local/cuda-11.8/bin${PATH:+:${PATH}}
-#export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib\
-#                         ${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
-# alias labelapp="cd /home/ubuntu/active-learning-platform && python al_framework.py"
+# After rebooting the device, check the driver is instlled correctly
+nvidia-smi
 
 # Install miniconda
-echo "Installing Miniconda"
-wget -O /tmp/Miniconda3-latest-Linux-x86_64.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
-bash /tmp/Miniconda3-latest-Linux-x86_64.sh
-
-# Install napari
-# conda env remove -n .venv
-echo "Installing napari"
-conda activate base && pip install napari[all]
-sudo apt-get install -y libdbus-1-3 libxkbcommon-x11-0 libxcb-icccm4 \
-    libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 \
-    libxcb-xinerama0 libxcb-xinput0 libxcb-xfixes0
-
-# Install xpra
-echo "Installing xpra"
-DISTRO=focal
-sudo apt-get install apt-transport-https software-properties-common
-sudo apt install ca-certificates
-sudo wget -O "/usr/share/keyrings/xpra-2022.gpg" https://xpra.org/xpra-2022.gpg
-sudo wget -O "/usr/share/keyrings/xpra-2018.gpg" https://xpra.org/xpra-2018.gpg
-sudo wget -O "/etc/apt/sources.list.d/xpra.list" https://xpra.org/repos/$DISTRO/xpra.list
-sudo apt-get update
-sudo apt-get -y install xpra xterm
-
-# Install pytorch and cellpose
-conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
-pip install pyqtgraph PyQt5 numpy numba scipy natsort cellpose
-
-# Install github CLI for cloning private repo
-conda install -y gh --channel conda-forge
+curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
+bash Miniconda3-latest-Linux-x86_64.sh
 
 # Login to github using tokens
 # gh auth login