NetApp AIPod Mini with Intel is a compact, fully integrated AI inferencing solution built specifically for retail departments that need practical AI, not a large, complex platform. It combines: - Intel Xeon 6 processors with Intel Advanced Matrix Extensions (Intel AMX) for efficient AI inferencing - NetApp AFF A-Series high‑performance storage - The Open Platform for Enterprise AI (OPEA), an open-source framework for enterprise-grade generative AI The solution is designed for retailers that: - Operate on tight margins and need cost‑effective technology - Have lean IT teams and want to avoid complex, custom AI builds - Need strong security and governance to protect brand, employees, and customers Typical departmental use cases include: - Retrieval-Augmented Generation (RAG) workflows - Predictive analytics - Advanced inferencing models for tasks like demand forecasting, supply chain optimization, and local knowledge management Because it’s pre-integrated and tuned for departmental workloads, retail teams can deploy AI closer to where data is created, get value quickly, and scale as needs grow—without a large up-front investment or a big expansion of IT resources.

NetApp AIPod Mini with Intel is built to make AI both practical and financially manageable for retail teams. Accuracy and relevance - Uses pretrained large language models (LLMs) that can understand retail-specific language and nuances. - Connects to local and proprietary data repositories so answers reflect your actual products, policies, and operations. - Supports Retrieval-Augmented Generation (RAG) and knowledge graphs to ground responses in your data, improving contextual accuracy. Cost control - RAG knowledge graphs reduce the computational load, which helps lower processing and operating costs. - Efficient data handling and automation reduce manual work and the risk of errors, easing the burden on staff. - Departmental scope avoids the expense of building and running a large, centralized AI platform. Operational impact Retailers can apply AIPod Mini to: - Demand forecasting: Analyze sales data, market trends, and external factors to better predict demand, reduce overstock and stockouts, and optimize inventory levels. - Supply chain optimization: Identify bottlenecks, optimize delivery routes, and improve real-time inventory tracking. - Routine task automation: Automate tasks like inventory checks, basic customer inquiries, and other repetitive workflows so staff can focus on higher-value activities. By processing workloads closer to data sources, AIPod Mini also supports stronger data privacy and governance while helping reduce network and cloud-related costs.

NetApp AIPod Mini with Intel is designed with security and governance at the core, which is especially important for retailers handling sensitive customer, employee, and operational data. Data security and governance - Built on NetApp ONTAP, which provides robust access control lists (ACLs) and metadata-driven governance. - Helps ensure sensitive data is not inadvertently shared across teams or outside the organization. - Supports processing workloads closer to where data is created, which can improve data privacy and reduce unnecessary data movement. Certifications and validation NetApp is validated to store highly sensitive and even top-secret data. Relevant certifications include: - FIPS 140-2 and FIPS 140-3 - Department of Defense Information Network (DoDIN) Approved Products List (APL) - Common Criteria - U.S. National Security Agency (NSA) Commercial Solutions for Classified (CSfC) Components List Responsible AI enablement - OPEA, the open-source AI framework included in the solution, provides a modular, enterprise-grade stack that can be configured to align with your governance and compliance policies. - Centralized data controls and consistent storage policies help you manage which data is used for AI, how it is accessed, and by whom. For retail organizations, this means you can reimagine how AI supports demand forecasting, supply chain, and customer engagement while maintaining strong controls over data access, privacy, and compliance.