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18 May 2026Form Number
LP2439PDF size
39 pages, 1.8 MBSubscribed to LP2439.
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Abstract
The document presents a production-ready Lenovo Hybrid AI 221 Canonical Validated Design for deploying a high-performance, single-node Retrieval-Augmented Generation (RAG) platform optimized for enterprise AI workloads. The solution integrates the Lenovo Hybrid AI 221 platform with Canonical Ubuntu Linux, Canonical Kubernetes, NVIDIA AI Enterprise, and the NVIDIA RAG Blueprint to deliver a secure, scalable, and multimodal AI pipeline. Built on the Lenovo ThinkSystem SR650a V4 with NVIDIA RTX PRO 6000 Blackwell GPUs, the architecture consolidates document ingestion, hybrid retrieval, and large language model (LLM) inference into a compact single-server footprint.
The document details the system architecture, software stack, deployment automation, validation process, and performance results, demonstrating strong accuracy, grounded responses, and consistent operation under concurrent workloads. This makes the design well-suited for enterprise AI use cases such as knowledge assistants, intelligent search, and agentic workflows.
Table of Contents
Introduction
Solution Components
Solution Architecture
Validation Process and Results
Performance Validation
Appendix A: Method of Procedure (MoP)
Appendix B: Bill of Material (BoM)
Resources
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