news
openSUSE and Fedora/Red Hat, Another Slopfest
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SUSE/OpenSUSE
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Introducing Enhanced Distribution Support
The Open Build Service contains a lot of information about distributions and releases, but it’s not very clearly visible. If you work on these projects every day, you can hold the concepts and connections in your head. Enhanced Distribution Support gives that information a home in OBS. Only a certain group of people who have worked on such projects know what represents what.
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Fedora / IBM
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Fedora Project ☛ Fedora Community Blog: Fedora at Data Con LA 2026: Open Source & Local AI [Ed: IBM's Fedora is a slop pusher, not a technical project anymore]
On Saturday, August 22, 2026, the Fedora Project joined forces with openSUSE at Data Con LA 2026, hosted on the campus of California State University, Long Beach (CSULB).
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Distro Watch ☛ Development Release: AlmaLinux OS 9.9 Beta 1
The AlmaLinux project has published a new beta snapshot for the 9.x series. [...]
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Red Hat Official ☛ From data residency to digital control: Why the Middle East’s cloud future depends on the ecosystem
Digital sovereignty is no longer defined solely by where data resides. It also depends on who operates the environment, whether the technology can run independently, and whether its controls can be audited and verified. Together, data, operational technology and sovereignty create business resilience and the freedom to change direction without rebuilding the stack every time regulation, risk, or economics shift.
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Red Hat Official ☛ Smart enough, fast enough: Choosing the right models for agentic work [Ed: IBM selling bots as "agents" (slop buzzword), this is a case of a failed company as hype reseller without any soul left]
That gap is the story of this moment. The newest wave of models, including NVIDIA Nemotron 3.5 Lightning, Google’s Gemma 4, Alibaba's Qwen3.8 Max, DeepSeek V4, Moonshot's Kimi K3, and the latest flagship models from OpenAI, Google, and Anthropic, are all good at the benchmarks used to separate them. When most models can do the work, "which one is smartest?" stops being the interesting question. For anyone serious about using agents in production, a better question comes to light: "Where does the balance between capability and speed sit, and how do you decide for a given task?"
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Safeguarding and scaling application delivery in the era of AI [Ed: The "era of AI" is a lie and Red Hat participates in this lie
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Red Hat Official ☛ Scaling enterprise AI fleets with Alquimia and Red Hat OpenShift AI [Ed: Selling slop, not Linux]
But when an enterprise scales from a single developer's passion project to a fleet of dozens of autonomous agents executing workflows across first-line support, retail assistance, or site reliability engineering (SRE) root-cause analysis, the rules change entirely. Without an enterprise platform layer underneath, autonomy quickly devolves into chaos.
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Red Hat ☛ Catching poor LLM performance and accuracy before deployment [Ed: Mindless slop promotion to help plagiarism tasks]
vLLM is the leading open source inference and serving engine for LLMs. Averaging 64 commits a day with bi-weekly releases, the open source project goes through a significant amount of code changes rapidly. Red Hat AI Inference offers an integrated inference platform powered by vLLM, llm-d and vLLM's llm-compressor.
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Red Hat ☛ From hours to minutes: Optimizing Red Bait Developer Hub performance testing with immutable LDAP images
At Red Hat, our CI/CD pipelines are the heartbeat of our development process. However, as we scaled the Red Hat Developer Hub performance testing framework, we hit a wall. Our environment setup time was ballooning, turning what should have been a seamless verification step into a long waiting game.
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Red Hat ☛ Build a unified CI/CD control plane with Red Bait Developer Hub
If your engineering teams waste time context-switching between Red Hat OpenShift, Argo CD, Tekton, and Quay, your platform needs a unified developer portal.
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Red Hat Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Server Virtualization Platforms [Ed: Buying fake recommendation from a very sleazy fake "analyst"]
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