focal-cuda to jammy-cuda

This commit is contained in:
Teja Swaroop Pothala 2025-02-28 16:23:57 +00:00
parent 547d695604
commit 86f588d260
No known key found for this signature in database
GPG Key ID: DEBCE0B52FABDAAC
4 changed files with 4 additions and 4 deletions

View File

@ -395,9 +395,9 @@ multiImages:
- src/alpine/xfce/.config/xfce4/xfconf/xfce-perchannel-xml/** - src/alpine/xfce/.config/xfce4/xfconf/xfce-perchannel-xml/**
singleImages: singleImages:
- name1: cuda - name1: cuda
name2: focal name2: jammy
base: nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04 base: nvidia/cuda:12.2.2-cudnn8-devel-ubuntu22.04
bg: bg_focal.png bg: bg_jammy.png
distro: ubuntu distro: ubuntu
dockerfile: dockerfile-kasm-core dockerfile: dockerfile-kasm-core
changeFiles: changeFiles:

View File

@ -1,6 +1,6 @@
# About This Image # About This Image
This image contains a browser-accessible version of Ubuntu Focal including the CUDA toolkit. This image contains a browser-accessible version of Ubuntu Jammy including the CUDA toolkit.
This image is used by our open-source containerized [Machine Learning Desktop](https://github.com/kasmtech/workspaces-machine-learning) and our [Data Science Desktop](https://github.com/kasmtech/workspaces-data-science). The core image should be used as a base to create your own derivative images, or you can modify our ML or data science images to meet your needs. All images are intended to be used with the NVIDIA container toolkit to pass GPU capabilities into the containerized desktop, which is pre-loaded with your favorite development and data science tools and libraries. This image is used by our open-source containerized [Machine Learning Desktop](https://github.com/kasmtech/workspaces-machine-learning) and our [Data Science Desktop](https://github.com/kasmtech/workspaces-data-science). The core image should be used as a base to create your own derivative images, or you can modify our ML or data science images to meet your needs. All images are intended to be used with the NVIDIA container toolkit to pass GPU capabilities into the containerized desktop, which is pre-loaded with your favorite development and data science tools and libraries.