Supported Images¶
On ScienceCloud, you don't have to install the operating system when you start a new virtual machine. Instead, we provide bootable disks ready to use, so that within one minute you can login to your new instance. These are called images, and are basically files containing bootable virtual disks. We provide some basic images, but you can also create your own and upload it to the cloud.
Warning
Whenever you terminate an instance, its root disk as well as ALL your customizations are deleted. The base image, however, is never deleted.
Note that the image names below that being with three asterisks are the LATEST supported images. There may be other images available.
Table of supported images on the ScienceCloud¶
Image Name | Default user | OpenStack image id | Additional information |
---|---|---|---|
***CUDA+Singularity on Ubuntu 24.04 (2024-11-21) | ubuntu | 443a631f-70da-491f-971a-d38c268b0d30 | to be only used for GPU flavor - Nvidia drivers and cuda libraries preinstalled |
***Debian 11.11 (2024-12-16) | debian | c3a3b8f1-3468-4a3a-a2b4-92cca114dc5b | |
***Debian 12.8 (2024-12-16) | debian | 33bc1e97-70d1-4c55-a7bf-d90ca812f8aa | |
***Singularity on Ubuntu 24.04 (2024-11-21) | ubuntu | 47c4ad94-285d-4d21-8dfe-16a123925221 | |
***Ubuntu 20.04 (2024-11-13) | ubuntu | fa8a5b93-1770-486f-90d8-f37ecc1efe03 | |
***Ubuntu 22.04 (2024-11-13) | ubuntu | bb3d6a8c-c340-46d7-a577-cbc84c7fe6c9 | |
***Ubuntu 24.04 (2024-11-13) | ubuntu | fa3798c0-94d5-419a-bae1-46bbd55255b8 | |
***Windows Server 2022 Standard (2025-05-15) | Administrator | de6c2733-8d31-4632-82a2-a0f59c88eff6 | No SSH access by default |
For further actions with images, check section Snapshots and Images.
Images for GPU usage¶
Images for GPU usage come with the Nvidia Driver and CUDA preinstalled.
You can find the latest image version searching for a public image whose name starts with ***
and includes CUDA
, for example ***CUDA+Singularity on Ubuntu 24.04 (2024-11-21)
.
As for other public images, we regularly update the "CUDA" images with the latest packages and retire the oldest ones.
For more information about GPUs on ScienceCloud, see section GPU-enabled flavors.