We’re excited to announce the new OpenVINO™ 2025.3.0 release, now available for installation directly from the official openSUSE repository. It expands native support for running generative AI and LLM models with acceleration on Intel® CPUs, GPUs, and NPUs!

Highlights of the 2025.3.0 release:

Expanded coverage for GenAI and LLMs:

• New supported models: Phi-4-mini-reasoning, AFM-4.5B, Gemma-3 (1B-it, 4B-it, 12B).
• NPU support for Qwen3-1.7B, 4B, and 8B — with optimized models from the OpenVINO Hugging Face repository.
• Preview support for OpenVINO Execution Provider in Windows ML, leveraging the power of the new Intel® Core™ Ultra line.

Performance and advanced compression:

• Contexts of up to 8K tokens, dynamic prompts, and dynamic LoRA for NPU-based LLMs.
• Dynamic batch size with automatic reshaping and control of multiple concurrent requests.
• New per-channel cache compression technique, in addition to per-token KV-cache, further improving accuracy in GenAI.

Portability and performance anywhere:

• Official support for Intel® Arc™ Pro B50 and B60 GPUs.
• GGUF models in OpenVINO™ Model Server, with support for DeepSeek, Qwen2, Llama 3, etc.
• Data-aware int4 weight compression for ONNX in NNCF: less memory, same accuracy!

With this integration in openSUSE, developers can now take full advantage of the Linux ecosystem to build, test, and deploy AI in a more efficient, portable, and optimized way.

Install via Zypper and take your AI to the next level.

openvino #opensuse #GenAI #LLM #NPU #IntelCoreUltra #huggingface #edgeAI #IAopensource #multicortex #aiopensource #openvino2025 #intel

https://build.opensuse.org/request/show/1303034

As an Intel Innovator, I received the AI ​​PC DevKit. This machine is a fully upgraded modular mini PC that combines premium design with powerful performance, targeting users needing high-load computing and localized AI processing. It features the latest Intel® Core™ Ultra 7 processor with a 16-core (6P+8E+2LP) configuration, integrated Intel® Arc™ 140T GPU, and a built-in NPU, offering up to 96 TOPS of AI computing power. With LPDDR5X 8400MHz memory and advanced architecture, it supports demanding tasks like 8K video editing, 3D rendering, and AI model training.

Intel AI PCs: Powering the Future of Local AI

Intel AI PCs lead the way in AI-driven innovation, seamlessly integrating advanced hardware and software to provide exceptional performance tailored for enterprise and developer needs.

Now with this equipment, I will provide NPU support for the openSUSE Linux distribution natively. With this, NPU support will be used natively in this distribution without the need for any additional installation. The results are encouraging using openVINO technology with NPU, the final result of the work will take a while but news will be coming soon.

To get everyone excited, we will have AI assistants in the VIM/VI editor and also in Linux Shell commands with OpenVINO and Intel’s NPU.

I will be able to provide more efficient support, as I will be able to test technical calls like the example below.

As an active member of the openSUSE Linux developer community and Chapter Leader for OWASP SP, I am now responsible for maintaining and updating the ModSecurity CRS packages on the openSUSE platform, as well as managing other important packages such as the official ZAP Core. For more information and supporting documentation, please refer to the lin: https://build.opensuse.org/package/view_file/openSUSE:Factory/owasp-modsecurity-crs/owasp-modsecurity-crs.spec

First motivation

The motivation comes from the fact that OWASP ModSecurity Core Rule Set (CRS) v3.3.4 does not detect the presence of several “Content-Type” HTTP header fields. As a result, on some platforms it is possible to cause a CRS installation to process an HTTP request body differently (due to the different content type) than how it would be processed by a backend web application. More information at https://nvd.nist.gov/vuln/detail/CVE-2023-38199.

Version 3.3.5 of CRS was released to address this vulnerability. And so I decided to update the package in the SUSE and openSUSE distribution.

Second motivation

Implementing an effective Web Application Firewall (WAF) is not the sole responsibility of the information security department; it’s a shared duty that we all must take seriously.

Below is a simplified guide for installing ModSecurity for Apache with CRS, stripping away any unnecessary complexity or “black magic.”

After the entire installation, Ricardo Martins (r00t1ng) performed the pentest to ensure the CRS protection features. Thank you!

First install the necessary packages:

# zypper in apache2  apache2-example-page owasp-modsecurity-crs owasp-modsecurity-crs-apache2 apache2-mod_security2

Now with the packages properly installed, add the apache modules:

# a2enmod unique_id
# a2enmod security2

Verify that the /etc/apache2/conf.d/owasp-modsecurity-crs.conf file has the following content:

<IfModule mod_security2.c>
       Include “/etc/owasp-modsecurity-crs/crs-setup.conf”
       Include “/etc/owasp-modsecurity-crs/rules.d/*”
</IfModule>

In your domain’s configuration file, insert the SecRuleEngine line according to the example below:

Now restart apache and READY!

# rcapache2 restart

or

# systemctl restart apache2

Criticisms and suggestions at Cabelo@opensuse.org or alessandro.faria@owasp.org

Build version 2021.9.0 and update the latest version of the oneTBB is a flexible C++ library that simplifies the work of adding parallelism to complex applications, even if you are not a threading expert. The library lets you easily write parallel programs that take full advantage of the multi-core performance.

Add repository and install manually

zypper addrepo https://download.opensuse.org/repositories/home:cabelo:intel/15.4/home:cabelo:intel.repo
zypper refresh
zypper install intel-oneapi-tbb

More information : HERE

Build and update 3.1 version of the oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics.

Add repository and install manually

For standard run the following as root:

zypper addrepo https://download.opensuse.org/repositories/home:cabelo:intel/15.4/home:cabelo:intel.repo
zypper refresh
zypper install intel-oneapi-dnn

More information : HERE

This post explains the process of installing NVIDIA Tesla T4 drivers on openSUSE images specifically designed for Amazon EC2 G4 Instances.

First remove nouveau module kernel.

rmmod nouveau

Download the NVidia driver and run it.

wget https://us.download.nvidia.com/tesla/515.105.01/NVIDIA-Linux-x86_64-515.105.01.run
sudo sh NVIDIA-Linux-x86_64-515.105.01.run

Done. Use the force!

The latest version (1.10.0) of the ‘oneAPI’ Level-Zero Application Programming Interface (API) is available for OpenSUSE Linux and XYZ platforms. This API offers direct-to-metal interfaces for offloading accelerator devices, and its programming interface can be customised to fit any device requirements. It also supports a wide range of language features, such as function pointers, virtual functions, unified memory, and I/O capabilities.

Add repository and install manually

For standard run the following as root:

zypper addrepo https://download.opensuse.org/repositories/openSUSE:Factory/standard/openSUSE:Factory.repo
zypper refresh
zypper install level-zero

More information : HERE

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.

Suggestions in cabelo@opensuse.org
Information here: https://aws.amazon.com/marketplace/pp/prodview-763pijt3fq6ne

Following are the main advantages:

Disadvantage: Does not have YAST!

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:

• Thunderbird
• Codecs
• VLC
• KDEnlive
• DVDAuthor
• MPV
• ffmpeg
• Lame
• E outros…

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 cabelo@opensuse.org

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.

This distribution caters for beginners, experienced users and ultra geeks, in short, it’s perfect for everyone! Suggestions at cabelo@opensuse.org, AMI image link here: https://aws.amazon.com/marketplace/pp/prodview-lyboctxh3gu76octxh3gu76

Source: https://assuntonerd.com.br/2022/06/09/opensuse-leap-15-4-disponivel-na-aws/