OpenSUSE Leap 15.2 Released

The openSUSE release team is proud to announce the availability of community-developed openSUSE Leap 15.2. Professional users, from desktops and data-center servers to container hosts and Virtual Machines (VM), will be able to use Leap 15.2 as a high-quality, easy-to-use, enterprise-grade Linux operating system.

OpenSUSE Leap 15.2 is out today as the Linux distribution built from the same sources as SUSE Linux Enterprise 15 sources.

OpenSUSE Leap 15.2 adds a number of new packages, particularly on the machine learning and artificial intelligence front. Tensorflow, PyTorch, ONNX, and other popular AI/ML solutions are finally packaged up for openSUSE Leap. Leap 15.2 also has Kubernetes support available as an official package for the first time. There are also a variety of other container additions to Leap 15.2 in catching up to the other Linux distributions catering to container workloads.

The openSUSE Leap 15.2 release is now available; see the announcement for a long list of new features. "In general, software packages in the distribution grew by the hundreds. Data fusion, Machine Learning and AI aren't all that is new in openSUSE Leap 15.2; a Real-Time Kernel for managing the timing of microprocessors to ensure time-critical events are processed as efficiently as possible is available in this release."

openSUSE Leap 15.2 has finally landed with some useful changes and improvements.

Also, considering the exciting announcement of Closing the Leap Gap, the release of openSUSE Leap 15.2 brings us one step closer to SLE (SUSE Linux Enterprise) binaries being integrated to openSUSE Leap 15.3 next.

Let’s take a look at what has changed and improved in openSUSE Leap 15.2.

The openSUSE Project released today openSUSE Leap 15.2, the second major installment in the latest openSUSE Leap 15 operating system series, based on SUSE Linux Enterprise 15 SP2.

openSUSE Leap 15.2 comes more than a year after openSUSE Leap 15.1 to bring you not only software updates and security fixes, but also new applications and technologies. Most specifically, it brings exciting new Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technologies.

Among these, there’s Tensorflow, a deep learning framework used by data scientists for numerical computations and data-flow graphs, PyTorch, a machine learning library, ONNX, a program that provides interoperability in the AI tool space, as well as the Grafana and Prometheus tools for creating interactive visual analytics.