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1 Apr 2026Form Number
LP2417PDF size
28 pages, 717 KBSubscribed to LP2417.
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Abstract
Enterprises adopting generative AI often struggle to move from experimentation to production due to infrastructure complexity, unpredictable performance, high GPU costs, and data governance requirements. The Lenovo Validated Design for AI POD Mini with NetApp and Intel Open Platform for Enterprise AI (OPEA) addresses these challenges by delivering a compact, production-ready platform optimized for Retrieval-Augmented Generation (RAG) workloads.
The solution integrates Lenovo ThinkSystem compute powered by Intel Xeon 6 processors with Advanced Matrix Extensions (AMX), NetApp AFF storage with ONTAP data management, and a Kubernetes-based, microservices AI framework built on OPEA. This architecture enables efficient CPU-based AI inference, reducing GPU dependency while maintaining predictable performance and lowering total cost of ownership. Validated performance testing demonstrates controlled latency, linear scalability, and balanced compute, storage, and networking under concurrent workloads.
The AI POD Mini enables organizations to deploy secure, on premises RAG applications with simplified operations, scalable growth, and full control of enterprise data.
Table of Contents
Introduction
Challenges and Opportunity
Solution Overview
Solution Components
Deployment
Performance Validation
Solution Summary
Appendix A: Lenovo Bill of materials (BOM)
Appendix B: Abbreviations
Resources
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