The Red Hat Blog: Expert insights for navigating tech complexity
Featured posts
AI’s next inflection point: Transforming agents into enterprise superusers
Red Hat has introduced the Red Hat skills bundle alongside a dedicated skills repository, providing the company's best practices in enabling autonomous agents to effectively use and maximize Red Hat subscriptions.
Latest posts
The evolution of infrastructure automation in the age of AI: 4 key takeaways from Red Hat Summit 2026
Discover how Red Hat Ansible Automation Platform is shaping the future of infrastructure automation in the age of AI, including 4 defining themes and real-world breakthroughs.
Agentic AI on Red Hat OpenShift: What enterprises are doing right now
Discover how enterprises are using agentic AI on Red Hat OpenShift to manage complex, multicluster environments, identify hidden issues, and deliver surprising ROI beyond IT. Learn about recommended practices, safety measures, and the future of agentic AI.
How should your infrastructure connect to Red Hat Lightspeed?
Learn about the 3 architectural models of Red Hat Lightspeed and how they align with your business goals, regulatory requirements, and risk appetite.
Supercharge RHEL troubleshooting with agentic AI: Introducing goose
Learn about the goose AI agent, now available in the Red Hat Enterprise Linux (RHEL) extensions repository for RHEL 9.8 and RHEL 10.2. This open source AI agent can be used with the Model Context Protocol (MCP) server for RHEL to unlock new use cases for AI-assisted administration, providing context-aware system troubleshooting. Get started with the goose-redhat package today.
Distributed AI inference: What telecom service provider leaders should know
Learn how Red Hat OpenShift AI can help service providers optimize their AI inference costs and improve profit margins for various AI use cases.
Featured stories
Inside open source AI strategy ft. Steve Watt
Context And The True "Cost" Of AI
Red Hat AI Inference
Red Hat AI Inference optimizes model inference across the hybrid cloud, creating faster and more cost-effective model deployments
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