The Red Hat Blog: Expert insights for navigating tech complexity
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AI quickstarts: An easy and practical way to get started with Red Hat AI
Discover AI quickstarts, a new catalog of ready-to-run, industry-specific use cases that put the power of open source AI directly into your hands. Learn how to deploy, explore, and extend these practical examples to master Red Hat AI and take your AI ideas from experimentation to production.
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Enabling long-term stability: Introducing Red Hat Enterprise Linux Extended Life Cycle, Premium
Learn about Red Hat Enterprise Linux Extended Life Cycle, a premium offering designed to provide significantly longer life cycles for your most vital systems. This solution offers extended maintenance for unmatched stability, including 6 years of extended maintenance for even-numbered versions and a 14-year lifecycle for a major Red Hat Enterprise Linux version. Get access to 24x7 technical support, unlimited incidents, and multi-channel access.
Automating the modern network: A Q1 network automation recap
Discover the latest updates and milestones for Red Hat Ansible Automation Platform in Q1 2026, including events, partner collaborations, and platform improvements. Learn how organizations are modernizing their network automation with Red Hat's trusted execution layer.
Running LLMs dynamically, in production, on limited resources, is hard. We think there’s room for another approach…
Explore kvcached and Sardeenz, open source projects that bring virtual memory to GPU-based AI workloads, increasing GPU use and reducing costs. Learn how to pack multiple models onto a single GPU, dynamically share memory between them, and manage models through a web dashboard.
Take your automation to the next level with Ansible Content Collections for Windows, Splunk, AIOps, MCP, and more
Learn about new and updated Ansible Content Collections for Microsoft Windows, Splunk, AIOps, and more. Improve your automation, compliance, and streamline operations across your hybrid infrastructure. Read more here.
Red Hat and NVIDIA: Setting standards for high-performance AI inference
Discover how Red Hat and NVIDIA drove industry-leading AI inference results in the MLPerf Inference v6.0 benchmarks through deep engineering co-design. Learn more about our top-tier throughput and latency results across vision, reasoning, and speech models on NVIDIA AI infrastructure.
Featured stories
Platform engineering for AI agents ft. Tushar Katarki
What Is Product Security?
Red Hat AI Inference Server
Red Hat AI Inference Server optimizes model inference across the hybrid cloud, creating faster and more cost-effective model deployments
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