Realistic photo illustrating Red Hat's release of RHEL 10.1 and 9.7, showcasing AI integration and security features in a data center setting.
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Red Hat releases RHEL 10.1 and 9.7 with AI and security features

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Red Hat has launched Red Hat Enterprise Linux (RHEL) 10.1 and 9.7, introducing enhancements for AI integration, quantum threat mitigation, and operational efficiency. These updates build on RHEL 10 to create a more intelligent computing foundation. The releases aim to bridge skills gaps between AI and Linux while simplifying management.

On November 12, 2025, Red Hat announced the release of RHEL 10.1 and 9.7. According to the company's official statement, these versions "build on the innovations of RHEL 10 for a more intelligent and future-ready computing foundation." Key features include capabilities to bridge AI and Linux skills gaps, enhanced safeguards against future threats, and simplified management and operational efficiency.

Specific additions in RHEL 10.1 encompass offline management tools, quantum threat mitigation, and new AI features, as reported by SiliconANGLE. Phoronix highlights systemd soft-reboots and easier AI accelerator drivers, which streamline hardware integration for AI workloads.

The updates emphasize security and efficiency. Enhanced safeguards likely address emerging threats like quantum computing risks, while simplified management supports offline operations for better reliability in diverse environments. Red Hat encourages users to "prepare your infrastructure for the future," linking the release to events like KubeCon + CloudNativeCon.

No contradictions appear across sources regarding the core releases and features. These advancements position RHEL as a robust platform for AI-driven enterprises, focusing on accessibility and protection without altering foundational Linux stability.

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Initial reactions on X to Red Hat's RHEL 10.1 and 9.7 releases are largely positive and neutral, with tech journalists and users highlighting AI integration features like offline assistants and validated drivers, quantum threat mitigation, and improved management efficiency. Official announcements emphasize bridging AI-Linux skills gaps and future-ready safeguards. No negative or skeptical sentiments were prominent in early discussions.

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