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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Meet the latest Red Hat OpenShift Superheroes
Learn about the Red Hat OpenShift Superheroes who were recognized for their contributions to the community at the Red Hat OpenShift Commons in Amsterdam. These superheroes include Builders, Advocates, Ambassadors, Bug Hunters, and more.
AI optimization: 7 powerful techniques you can use today!
Discover 7 powerful AI optimization techniques to increase GPU performance and reduce operational costs by 60-80%. Learn about quantization, automatic-prefix caching, disaggregated prefill and decode, Flash Attention, continuous batching, and aggressive key-value (KV) cache management.
Announcing Red Hat OpenShift Pipelines 1.21: Faster builds, smarter caching, and improved troubleshooting
Explore the new features of Red Hat OpenShift Pipelines 1.21, including AI-assisted troubleshooting via Red Hat OpenShift Lightspeed, Tekton Cache general availability, and updates to enhance pipeline speed, reliability, and ease of use.
Taming costs in cloud environments: Rating in OpenStack with CloudKitty
Discover how CloudKitty can set rating rules, collect metrics, and generate reports for Red Hat OpenStack Services on OpenShift.
Connect, collaborate, and grow: Your guide to Ecosystem Success Day at Red Hat Summit 2026
Ecosystem Success Day at Red Hat Summit 2026 is a high-impact experience designed exclusively to help Red Hat partners connect with other industry leaders, expand business opportunities, and gain strategic insights.
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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