Several exciting Artificial Intelligence (AI) and Machine Learning packages are added in Leap 15.2.
Tensorflow: A framework for deep learning that can be used by data scientists, provide numerical computations and data-flow graphs. Its flexible architecture enables users to deploy computations to one or more CPUs in a desktop, server, or mobile device without rewriting code.
PyTorch: Made for both server and compute resources, this machine learning library accelerates power users' ability to prototype a project and move it to a production deployment.
ONNX: An open format built to represent machine learning models, provides interoperability in the AI tool space. It enables AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
Grafana and Prometheus are two new maintained packages that open up new possibilities for analytical experts. Grafana provides end users the ability to create interactive visual analytics. Feature-rich data-modeling packages: Graphite, Elastic and Prometheus give openSUSE users greater latitude to construct, compute and decipher data more intelligibly.
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.
"The addition of a real time kernel to openSUSE Leap unlocks new possibilities," said Gerald Pfeifer, chair of the project's board. "Think edge computing, embedded devices, data capturing, all of which are seeing immense growth. Historically many of these have been the domain of proprietary approaches; openSUSE now opens the floodgates for developers, researchers and companies that are interested in testing real time capabilities or maybe even in contributing. Another domain open source helps open up!"
Container Technologies
openSUSE users will have more power to develop, ship and deploy containerized applications using the newer container technologies that are being maintained in the distribution.
For the first time, Kubernetes is an official package in the release. This gives a huge boost to container orchestration capabilities, allowing users to automate deployments, scale, and manage containerized applications.
Helm, the package manager for Kubernetes, is also added. Helm helps developers and system administrators manage complexity by defining, installing, and upgrading the most complex of Kubernetes applications.
Container Runtime Interface (CRI) using Open Container Initiative (OCI) conformant runtimes (CRI-O) is also new to this release. CRI-O is a lightweight alternative to using Docker as the runtime, which allows Kubernetes to use any OCI-compliant runtime as the container runtime for running pods or processes running on a cluster.
Even with Docker, the use of microservices will be secure thanks to more container packages arriving in this release.
Cilium helps in transparently securing network connectivity and load-balancing between application containers and services deployed using Linux container frameworks like Docker and Kubernetes. Cilium provides an efficient way to define and enforce both the network-layer and the application-layer security policies, which are based on a container/pod identity.
Leap 15.2 offers both Server and Transactional Server system roles. The Server system role uses a small set of packages that are suitable for servers with a text mode interface while the Transactional Server system role is similar to the Server role, but uses a read-only root filesystem to provide atomic, automatic updates of the system without interfering with the running system.
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