Deploy Production AI in Weeks, Not Months
Get the infrastructure blueprints, model optimization techniques, and deployment frameworks you need to move AI projects from pilot to production faster. Access performance benchmarks, cost-per-inference calculators, and proven architectures for LLMs, computer vision, and recommendation systems that actually scale.
Accelerate your AI journey with: Production-ready infrastructure templates | Model optimization guides that reduce costs by 60% | Scalable deployment patterns for LLMs and GenAI | Real-world case studies with measurable ROI
Beyond the AI Hype: Real-World Enterprise Implementation with Intel, Red Hat & IBMFeatured Content
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Fast and simple AI deployment on Intel Xeon with Red Hat OpenShiftSimplify enterprise AI deployment with Red Hat OpenShift AI and Intel Xeon, optimized for scalable, cost‑effective inference.
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Meet Hope CDW's AI AvatarSee how CDW’s Persona AI and enterprise AI platforms run on Red Hat OpenShift with Intel Gaudi 3 and Xeon 6.
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RAG QuickstartSee how to deploy a RAG chatbot with vLLM on Red Hat OpenShift AI, powered by Intel Xeon and Gaudi.
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Browse Our Library
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Integrate and simplify production AI with Intel and Red Hat
Accelerate AI/ML application delivery with Red Hat OpenShift AI and Intel. Empower data scientists, simplify MLOps, and leverage optimized Intel software and hardware. Read the White Paper to learn more.
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Intel Edge AI on RHEL Image Mode
Learn how to run edge AI locally using Intel Edge AI on RHEL Image Mode to deploy and manage vision language workloads.
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Harnessing the Power of AI to Solve Enterprise Challenges with Red Hat and Intel AI Platforms
Accelerate enterprise GenAI using Red Hat OpenShift AI and RHEL AI, powered by Intel Xeon and Gaudi processors.
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Deploying Large AI Models on Intel® Xeon® 6 Processors with vLLM and Red Hat OpenShift for Optimal Performance
Deploy large AI models efficiently with vLLM on Intel Xeon 6 processors using Red Hat OpenShift for optimized inference.
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Supercharge LiteLLMs and vLLMs with Dynamic Routing Models
See how dynamic routing with LiteLLM and vLLM on Red Hat OpenShift AI optimizes inference on Intel Xeon and Gaudi.
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Deploy a model with vLLM and Llama Stack on MCP servers
See how vLLM and Llama Stack run on MCP servers using Red Hat OpenShift AI with Intel Xeon and Gaudi acceleration.
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Generative AI with Intel AI and Red Hat OpenShift AI - reference architecture
Deploy and scale GenAI with Red Hat OpenShift AI on Intel Xeon 6 and Gaudi 3 for enterprise-ready performance.
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The adaptable enterprise: Why AI readiness is disruption readiness
The whitepaper discusses building adaptable, AI-ready enterprises, emphasizing durability, hybrid cloud strategies, modernization, and open-source innovation. It highlights Red Hat's expertise in AI integration, cultural transformation, and technological advancements for enterprise success.
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vLLM Deployment on Single Node Intel® Xeon® 6 Processors Within a Red Hat OpenShift Environment - Best Practices
Learn best practices for running vLLM on Intel Xeon 6 within a single‑node Red Hat OpenShift environment.
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Enterprise Generative Al Reference Architecture: Intel® Al, Red Hat® OpenShift® Al, and SMC Partner Integration
Explore a validated reference architecture combining Intel® Xeon® processors, Intel® Gaudi® accelerators, Red Hat OpenShift AI, and Supermicro AI platforms to help enterprises deploy high-performance, cost-efficient generative AI across hybrid environments.
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