Reference Architecture: Lenovo Hybrid AI Platform 201 for Enterprise RAG With Red Hat AI Enterprise

Enterprises adopting generative AI often struggle to move from experimentation to production due to infrastructure complexity, data accessibility challenges, operational overhead, and increasing pressure to deliver AI cost efficiently. The Lenovo Hybrid AI Platform 201 for Enterprise RAG with Red Hat AI Enterprise addresses these challenges by providing a reference architecture optimized for Retrieval-Augmented Generation (RAG) and private AI workloads.

The solution integrates Lenovo ThinkSystem infrastructure powered by Intel® Xeon® 6 processors with Advanced Matrix Extensions (AMX), Lenovo DM3200F unified storage for enterprise data services, and Red Hat AI Enterprise. Together, these components deliver a scalable, Kubernetes-based AI environment that supports efficient CPU-based inference, unified enterprise data access, and simplified deployment and operations. By aligning infrastructure resources to workload requirements, the platform helps lower total cost of ownership while maintaining predictable performance and operational flexibility.

The Lenovo Hybrid AI Platform 201 enables organizations to deploy secure, on premises or hybrid RAG applications with scalable growth, streamlined lifecycle management, and governed access to enterprise data, providing a repeatable foundation for operationalizing enterprise AI.

Introduction
Challenges and Opportunities
Solution Overview
Solution Components
Deployment Overview
Performance Validation
Solution Summary
Appendix A: Lenovo Bill of materials (BOM)
Appendix B: Abbreviations
Resources

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Related product families

Product families related to this document are the following:

• AI Servers
• Hybrid AI Factory
• Red Hat Alliance