SUSE Liberty Linux: Support for CentOS and RHEL until 2028

CentOS users must act now, the end of official support is imminent – or they can book new support from SUSE.

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2 min. read
By
  • Udo Seidel
This article was originally published in German and has been automatically translated.

SUSE underlined the motto "Choice happens" with two announcements at its own SUSECon from June 18 to 20 in Berlin. Firstly, there is the SUSE Liberty Linux program, through which the Nuremberg-based company offers support for RHEL and CentOS beyond the CentOS EOL at the end of 2024. There is a discount to start with: instead of the usual 67 US dollars per server and year, a minimum purchase of 100 servers by the end of October 2024 will only cost 25 dollars – and only 20 dollars for 1000 or more. CentOS 7 users can purchase support until the end of June 2028. In addition, SUSE Liberty Linux is now also available via the AWS Marketplace.

The second example comes from the AI corner. A few weeks ago, SUSE created a new position and appointed Pilar Santamaria as Vice President AI. In contrast to Red Hat, however, SUSE is not quite ready as a finished product yet, as SUSE AI is due to be released at KubeCon North America in November 2024. There is currently a vision, a strategy, a reference architecture and an early access program.

Technically, SUSE AI is based on SLE Micro. Rancher Prime, Kubernetes in the form of RKE 2 and the container security platform Neuvector Prime from the SUSE portfolio are also included. Further up the stack, the information is still somewhat vague: VectorDB is definitely included – a Python package for searching, storing and managing text information and associated metadata. The other components, such as models, other libraries or interfaces, are not yet specified in more detail. With SUSE AI, SUSE is therefore not entering entirely new territory, but is simply providing a platform for the new AI application. This also brings us full circle to the conference motto: the open-source service provider wants users to be able to decide for themselves which models and data are used and where they are processed.

(avr)