skplt.serversetup: Ubuntu Server GPU or non GPU server setup guide using lscripts-docker bash shell script framework

skplt.serversetup.md

skplt.serversetup

Ubuntu Server GPU or non GPU server setup guide using lscripts-docker bash shell script framework

1. If there is an error of for /cdrom on sudo apt update, then comment the CDROM line in the file: /etc/apt/sources.list

   cat /etc/apt/sources.list
   sudo vi /etc/apt/sources.list

2. Install ubuntu-desktop

   sudo apt -y update
   sudo apt -y install ubuntu-desktop

3. Check the latest nvidia driver version, currently it was 535

   sudo apt -y install nvidia-driver-535

4. Install minimum server dependencies and lscripts

   bash <(curl -s https://raw.githubusercontent.com/skillplot/lscripts-docker/main/lscripts/banners/skplt.serversetup.sh)

5. source the bashrc. The CLI prompt will change and will show the skillplot banner, then execute this command

   source ~/.bashrc

6. Install dependencies by executing following command. NOTE: No need to reboot if it ask for; type n. Configure, verify, add repo keys, add repo - whenever it asks for different items.
   • SKIP: nvidia driver installation
   • Install docker-ce
   • Install docker-compose
   • Install python
   • Install python-virtualenvwrapper
   • Install nvidia-container-toolkit
   • SKIP: cuda stack installation

   lsd-stack.nvidia_cuda_python_docker

7. Install conda

   lsd-install.python-miniconda

8. Change the docker subnet if needed; refer following link
   • https://gist.github.com/mangalbhaskar/ab1587521a41a8e648c2b9dcbdc8cffd
9. Cleanup
   • Remove the configuration lines from the vi ~/.bashrc file

     export LSCRIPTS_DOCKER="/tmp/codehub/external/lscripts-docker"
     [ -f ${LSCRIPTS_DOCKER}/lscripts/lscripts.env.sh ] && source ${LSCRIPTS_DOCKER}/lscripts/lscripts.env.sh

   • Remove /tmp/codehub directory created by the script containing `external/lscripts-docker from the system.

     rm -rf /tmp/codehub