Enterprise AI has reached a turning point. For years, organizations have invested heavily in artificial intelligence, launching countless pilot projects and experimental models. Many AI projects show promise, but scaling these successes, integrating AI into core operations, and consistently extracting value across the enterprise remain significant challenges.This is why an open, collaboratively-developed, standard AI operating system (AI OS) is vital. Built on open source technology, this system will provide the essential production and run time environment for customizing and running AI model

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We're seeing a significant trend: more organizations are bringing their large language model (LLM) infrastructure in-house. Whether for latency, compliance, or data privacy, self-hosting with open source models on your own hardware puts you in control of your AI journey. However, scaling LLMs from experimentation to a production-grade service introduces significant cost and complexity.A new open source framework, llm-d, backed by a powerhouse of contributors including Red Hat, IBM, and Google, is designed to address these challenges. It focuses on the core of the problem: AI inference—the pr

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Red Hat Recognized as a Leader for Second Consecutive Year in 2025 Gartner® Magic Quadrant™ for Container ManagementRed Hat OpenShift was recognized for the solution’s Completeness of Vision and in Ability to Execute in the Container Management Magic Quadrant. According to Gartner, Leaders execute well against their current vision and are well positioned for tomorrow. Learn more Computerworld - Why your entire workforce should become AI expertsAI isn’t just for data scientists anymore. In this episode of Today in Tech, Red Hat Distinguished Engineer Mo Duffy discusses how businesses c

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