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.
Latest posts
Building a Center of Excellence for Ansible
Learn how to create a Center of Excellence for Ansible to improve automation across the enterprise. Discover key roles, standards, and best practices for a successful CoE.
Confidential guest reset on QEMU hypervisor: Design choices and approach
Learn how Red Hat helped implement the feature to reset SEV-SNP and TDX machines on QEMU Hypervisor version 11.0. This article discusses the technical challenges and solutions, and the benefits of this feature for confidential computing.
When less is more: Why less precision and fewer parameters carry enterprise AI
Explore the Red Hat AI repository on Hugging Face for prequantized and validated models, including Llama, Granite, and more. Learn how smaller models can meet quality bars while reducing inference costs and time.
Confidential clusters for Red Hat OpenShift: Developer Preview now available on Microsoft Azure with AMD SEV-SNP
Learn about the developer preview of confidential clusters for Red Hat OpenShift, a new feature of OpenShift that extends confidential computing to the cluster infrastructure level. Available today for OpenShift on Microsoft Azure, powered by AMD Secure Encrypted Virtualization—Secure Nested Paging (SEV-SNP).
Customer stories and continued momentum: OpenShift Virtualization sessions at Red Hat Summit 2026
Explore customer stories and sessions at Red Hat Summit 2026, showcasing real-world implementations of OpenShift Virtualization.
Featured stories
Platform engineering for AI agents ft. Tushar Katarki
Context And The True "Cost" Of AI
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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