news
Fedora-Based Bazzite Linux Released, Red Hat Talks About Almost Nothing But LLM/Slop Plagiarism
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GamingOnLinux ☛ Bazzite Linux has another big set of fixes available | GamingOnLinux
With the recent release of Bazzite Linux 44 for handhelds, they're working quickly to address various issues that have appeared.
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Red Hat Official ☛ Why the virtualization decision keeps getting deferred [Ed: The only blog post that day that isn't shilling slop plagiarism]
Most infrastructure teams I speak with have spent the best part of 2 years working out what to do about their virtualization platform. The licensing and pricing changes are no longer a surprise; the financial modeling has likely been run multiple times, and in many organizations, the move has been deferred rather than avoided. The question isn’t whether to look at alternatives, but what, when, and how to fund it.
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Red Hat ☛ LLM quantization guide: How to do it, and how it helps [Ed: Red Hat is only pushing slop, not Linux]
Model sizes have roughly doubled every year (see figure 1), and GPU memory hasn't come close to keeping up. So when a new frontier open model is released, how do you actually deploy it to serve one user, or perhaps one thousand at a time, on hardware you can realistically get your hands on?
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Red Hat ☛ Developing LLM guardrail configs locally with NeMo Guardrails [Ed: Obsessing over slop to participate in the pyramid scheme]
Large language models are powerful, but deploying them in production means thinking about risks like prompt injection, toxicity, PII leakage, and more. To address this, Red Hat has partnered with NVIDIA to develop and support NeMo Guardrails, an enterprise-ready open source framework that lets you add programmable safety rails to any LLM application.
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Red Hat ☛ Orchestrate production RAG with OpenShift AI [Ed: Rebranding everything as "AI", as IBM wants to fake being relevant]
In the previous post in this series, we built a streaming retrieval-augmented generation (RAG) pipeline that parses, chunks, embeds, and writes to Milvus in a single Ray Data script. It works well. But it is a monolithic script.
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Red Hat Official ☛ 5 ways to augment security risk management in the AI era [Ed: IBM Red Hat perpetuating this "AI era" lie; this is a corrupt company run by a parent company that engages in financial fraud and falls deep into debt]
Consider IBM's X-Force Threat Intelligence Index 2026, where researchers found that scanning for vulnerable software is a common attack vector–second only to exploiting incorrectly configured access controls. With powerful AI models exposing identification of new vulnerabilities, manual remediation steps can no longer keep pace with exploitation speed. This is where automation can uniquely strengthen overall defenses and limit the impact of vulnerabilities on IT operations.
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Red Hat Official ☛ How Ask Red Hat earns trust in enterprise AI troubleshooting [Ed: Red Hat throwing chatbots at people instead of real support, more enshittification by IBM]
This is the design problem Ask Red Hat was built to solve.
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Red Hat Official ☛ Automate AI red teaming: Large language model risk identification and mitigation [Ed: Red Hat is shilling slop, as usual]
To guard against adversarial queries, teams typically start with a 2-layer defense combining safety alignment baked into the model weights and a tailored system prompt outlining the do’s and the don’ts. Though teams can layer on secondary defenses (the focus of our next post), any proposed risk mitigation strategy requires empirical evaluation to verify its actual performance. This is a complex undertaking as adversarial vectors constantly evolve and generic evaluation benchmarks may not align with enterprise-specific policies. This is why we created an ART pipeline that can be tailored to more specific needs.
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Red Hat ☛ Red Hat OpenShift autoscaling using MachineSet autoscaler with KEDA [Ed: Not slop, for a change]
There are different solutions for scaling your Red Hat OpenShift compute infrastructure. In our previous article, we demonstrated Cluster Autoscaler, the built-in, Kubernetes-native approach.