news
Red Hat's Latest Slop Promoting and More PR
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Red Hat ☛ Red Hat OpenShift Virtualization memory management overview
Over the past few years, achieving high-density virtualization has required broad re-engineering across the technology stack. To analyze this transformation, this article provides a comprehensive overview of the recent — and not so recent — memory management evolutions at both the node and cluster levels in Red Hat OpenShift Virtualization. These optimizations efforts span from the lower echelons of the GNU/Linux kernel up to the orchestration and management planes, encompassing core Kubernetes primitives, Red Hat OpenShift components, and specialized operators.
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Red Hat ☛ Optimized support for Open NVIDIA Nemotron 3.5 Super VL [Ed: Red Hat trying to sell slop, not Linux]
Red Hat Hey Hi (AI) is releasing optimized FP8 and DSpark speculative decoding checkpoints for Nemotron 3.5 Super VL, a 120B multimodal mixture-of-experts (MoE) model built for long-running agents.
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AI security projects deliver first fixes for vulnerable Java libraries [Ed: Slop or fuzzing]
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AI’s hidden choices — and why getting them right avoids lock-in [Ed: Slop marketing by Red Hat]
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Red Hat Official ☛ Red Hat Summit 2027 call for proposals is now open [Ed: More slop marketing by Red Hat]
The call for proposals is open now, from October 15 until November 30. Submit your session proposal today for a chance to present at Red Hat Summit, May 24 - 27, 2027 at the Boston Convention and Exhibition Center.
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Red Hat Official ☛ Open Source Security Signals | Q3 2026
Estimate of global production Java applications: We use 3 million applications as a modeled estimate for the enterprise Java production base. More than 418,000 enterprise-scale companies globally use Java. Java remains deeply embedded in large enterprises, supporting more than 90% of backend infrastructure in the Fortune 500, while Azul's 2025 State of Java Survey found that 70% of respondents reported more than half of their applications or infrastructure run on a JVM. Given the size of enterprise application portfolios, we use 3 million production applications as a conservative modeling baseline rather than an observed count of the global Java application population.