When you pull the image, you can set the proxy to make the pull faster. If the download is slow, you may need to set up a proxy, or you can use a domestic mirror instead of an official mirror, such as daocloud mirror acceleration
If it is deepin, you need to modify the unstable in sudo vim /usr/share/python-apt/templates/ to stableĪnd use the command sudo add-apt-repository "deb stretch stable" Set up proxy If it is Manjaro, directly yay -S docker.
#Jupyterlab docker install
Install docker, version must be 19.03 and above (you can use docker -version to view), if the version is lower than this version, later use of nvidia-docker driver will fail and you will be prompted to find it -gpu all` parameter Installation Using docker here, the installation environment is simpler (you only need to install the NVIDIA driver, you don’t need to install cuda, and of course you don’t have to worry about the cuda version) and stable~Īnd you can run multiple dockers at the same time, such as running multiple jupyterlabs at the same time for different people to use Install docker
Please attach the original source link and this statement for reprinting. Copyright statement: This article is neucrack's original article and follows the CC 4.0 BY-SA copyright agreement.
0 kommentar(er)
