Red Hat has rolled out Red Hat Enterprise Linux 10 (RHEL 10), introducing a notable addition: Lightspeed, a generative AI-powered tool aimed at simplifying system management via intuitive command-line interactions.
Launched on May 20 and accessible through the Red Hat Customer Portal, this latest version targets a major challenge in enterprise IT—bridging the Linux administration skills gap. Lightspeed’s integration into RHEL 10 brings natural language processing to the forefront, enabling administrators to receive context-sensitive suggestions, resolve issues, and manage complex environments with less manual effort.
Red Hat emphasizes that the AI system not only assists newcomers but also supports seasoned professionals by streamlining day-to-day operations, offering troubleshooting support, and surfacing recommended practices directly in the terminal interface.
Another standout in RHEL 10 is its support for post-quantum cryptographic standards, making it the first enterprise Linux distribution to offer FIPS-compliant quantum-resistant encryption. This positions organizations to proactively counter the long-term risk of “harvest now, decrypt later” cyber threats and maintain compliance with emerging cybersecurity mandates. The system incorporates advanced cryptographic algorithms that defend against both current and anticipated decryption threats.
Key enhancements in RHEL 10 include:
Image mode: A standardized method for constructing and managing RHEL systems using container-based technologies.
Cloud-optimized deployments: Preconfigured RHEL images are available for major cloud providers including AWS, Microsoft Azure, and Google Cloud, facilitating hybrid and multi-cloud strategies.
Extended software ecosystem: Users gain access to additional community-supported tools like Podman Desktop through the Red Hat Enterprise extensions repository.
Hardware-aligned optimizations: Red Hat highlights that certified partner solutions are tailored to support advanced workloads such as AI processing.
Security Select Add-On (coming soon): An optional feature allowing customers to request patches for up to 10 targeted CVEs (Common Vulnerabilities and Exposures) per year.
With this release, Red Hat continues to position RHEL as a cornerstone for modern, AI-aware enterprise IT infrastructure—offering enhanced security, better automation, and easier access to innovation across cloud and hybrid environments.
Red Hat Unveils RHEL 10 with AI-Enhanced Automation Tools
Red Hat has rolled out Red Hat Enterprise Linux 10 (RHEL 10), introducing a notable addition: Lightspeed, a generative AI-powered tool aimed at simplifying system management via intuitive command-line interactions.
Launched on May 20 and accessible through the Red Hat Customer Portal, this latest version targets a major challenge in enterprise IT—bridging the Linux administration skills gap. Lightspeed’s integration into RHEL 10 brings natural language processing to the forefront, enabling administrators to receive context-sensitive suggestions, resolve issues, and manage complex environments with less manual effort.
Red Hat emphasizes that the AI system not only assists newcomers but also supports seasoned professionals by streamlining day-to-day operations, offering troubleshooting support, and surfacing recommended practices directly in the terminal interface.
Another standout in RHEL 10 is its support for post-quantum cryptographic standards, making it the first enterprise Linux distribution to offer FIPS-compliant quantum-resistant encryption. This positions organizations to proactively counter the long-term risk of “harvest now, decrypt later” cyber threats and maintain compliance with emerging cybersecurity mandates. The system incorporates advanced cryptographic algorithms that defend against both current and anticipated decryption threats.
Key enhancements in RHEL 10 include:
With this release, Red Hat continues to position RHEL as a cornerstone for modern, AI-aware enterprise IT infrastructure—offering enhanced security, better automation, and easier access to innovation across cloud and hybrid environments.
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