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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 delete an instance, its root disk as well as ALL your customizations are removed. 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

Name Default User ID Additional Information
***Apptainer on Ubuntu 24.04 (2026-02-26) ubuntu a2fa3de5-2f5b-4fba-90e9-394b46c9f480
***Debian 12.13 (2026-02-27) debian a72993d3-0bef-4283-96ed-2352c36b3032
***Debian 13.3 (2026-02-27) debian da4bb9e4-f9fb-44c2-aff6-9e603b04e73e
***NVIDIA+Apptainer on Ubuntu 24.04 (2026-02-27) ubuntu cdb6265a-3620-432e-a7a7-330c5decad73 NVIDIA drivers preinstalled. To be used only with GPU flavors.
***Ubuntu 22.04 (2026-02-27) ubuntu 245f064e-ca3d-40da-9dce-9637730e2c19
***Ubuntu 24.04 (2026-02-26) ubuntu 5e47f5a6-8128-458e-b88b-7698d276981d
***Windows Server 2022 Standard (2025-05-15) de6c2733-8d31-4632-82a2-a0f59c88eff6

For further actions with images, check section Snapshots and Images.

Images for GPU usage

Images intended for GPU usage come with the NVIDIA driver preinstalled. In many cases, the driver is sufficient. The image, however, comes configured with the NVIDIA apt repository. If you need any additional NVIDIA packages like CUDA or cuDNN, you can install them with apt, for example sudo apt install cuda or sudo apt install cudnn.

You can find the latest image version searching for a public image whose name starts with *** and includes NVIDIA, for example ***NVIDIA+Apptainer on Ubuntu 24.04 (2026-02-27).

As with other public images, we regularly update the "NVIDIA" images with the latest packages and retire the oldest ones.

For more information about GPUs on ScienceCloud, see section GPU-enabled flavors.