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Enterprise RAG Inferencing with NetApp and Intel
This technical report, "Enterprise RAG Inferencing with NetApp and Intel," provides a validated architecture for deploying enterprise RAG inferencing pipelines using NetApp AFF A-Series storage, Intel Xeon 6 processors, and NetApp ONTAP data management. Download the report to gain actionable insights for secure, high-performance AI deployment. When you're ready, contact Levi, Ray & Shoup to discuss next steps for implementing RAG solutions with NetApp and Intel.
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The NetApp AIPod Mini is a validated reference design that combines NetApp data management solutions with Intel® Xeon® 6 processors. It is designed for enterprise retrieval-augmented generation (RAG) applications, enabling organizations to leverage large language models for generating contextually relevant responses from their internal knowledge repositories.
What are the hardware requirements for deploying the AIPod Mini?
To deploy the NetApp AIPod Mini, you need servers with Intel Xeon 6 processors, a control plane server with an Intel processor, and a choice of a 100Gb Ethernet switch. Additionally, a NetApp AFF A20, A30, or A50 system is recommended to support the required performance and storage capabilities.
How does NetApp ONTAP enhance RAG applications?
NetApp ONTAP enhances RAG applications by providing enterprise-grade storage that supports various AI workloads. It offers features such as data protection, built-in ransomware protection, and dynamic provisioning of storage. Additionally, ONTAP supports multiple data access protocols, ensuring reliable and secure access to data stored in various formats.
Enterprise RAG Inferencing with NetApp and Intel
published by Levi, Ray & Shoup
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