The INNOVATORS for openSUSE project, is an initiative to share, disseminate and promote projects, articles and news about innovative projects on the openSUSE platform developed by the community and public and private companies.
Taking Linux seriously since 1998, I gained experience in the GNU/Linux operating system that allowed me to build, contribute and make the openSUSE Leap 15.4 Micro platform available on the AWS cloud for everyone for free worldwide (all regions of the world).
Using software engineering work focused on GNU/Linux system optimization, I make available the minimalist version of openSUSE Leap 15.4 on AWS. In addition to being multipurpose, complete, stable and easy to use, it is intended for users, developers, administrators, and any professional who wants openSUSE resources on the server. It’s great for beginners, experienced users and ultra geeks, in short, it’s perfect for everyone!
The openSUSE Leap 15.4 Micro operating system provides less computational resource consumption. With less disk and memory and disk consumption, this operating system allows the use of modest virtual machines like t2.nano without compromising performance.
Have you installed openSUSE Leap 15.4? And now what to install? What about proprietary codecs? And the multimedia codecs? It took a while but it’s over! The Cool Package is a process that installs some software necessary for the day to day of a SUSEIRO and solves all dependency problems. The Cool Pack provides:
Then the 1-click Install button. to solve these issues as this button installs the first important software for daily task such as: Thunderbird email client, VLC, MPV, proprietary codecs and video editors. Any questions, criticism and suggestions at email@example.com
I build the openSUSE Leap 15.4 version available on AWS. In addition to multipurpose, complete stable and easy to use. It is intended for users, developers, administrators, and any professional who wants openSUSE features on the server.
This release provides full compatibility (same source) with SUSE Linux Enterprise 15 Service Pack 4 (SP4) binary packages, openSUSE Leap 15.4 makes it easy to migrate if necessary to SUSE Linux Enterprise Server (SLES) or vice versa almost immediate.
It is worth paying attention to some packages such as the Linux kernel 5.14 which is fully maintained by SUSE and with support for Raspberry Pi 4 embedded hardware. In addition to the packages It is worth noting the Artificial Intelligence (AI) packages such as Grafana, ONNX, Prometheus, PyTorch and TensorFlow Lite, and the Linux kernel 5.3.18 which is fully maintained by SUSE and supports Raspberry Pi 4 embedded hardware.
We will see in this link in Brazilian Portuguese, how to install the NVIDIA opensource kernel module, however version 515.48.07, GeForce and Workstation support is still considered alpha quality. So to force the installation, we must use the parameter NVreg_OpenRmEnableUnsupportedGpus as we will see in blog Assunto Nerd from Brazil.
This video demonstrates an image with a holographic effect generated on the openSUSE platform with the realsense camera using the Realsense Video Creator for Looking Glass Portrait project. Source codes are available at: https://github.com/cabelo/rscreatelg
In this video we will see how to work with immersion using the oculus quest 2 of the metaverse. The calculation of the transformation of the relative coordinates of the keyboard in the virtual reality environment is demonstrated. We can also see the hand traceability with skeleton detection algorithms among other fantastic features.
Beast Canyon (still on pre-order) is the highest-performing Intel® NUC available today. Beast Canyon is the evolution of Intel’s modular gaming mini PC, a more compact gaming PC than most gamers could dream of building on their own. The equipment in some models has the Core i9-11900KB processor with the GNA feature: Gaussian & Neural Accelerator Library.
Intel® Gaussian & Neural Accelerator is a low-power neural coprocessor for continuous inference at the edge. For more information, visit : https://github.com/intel/gna