NetApp AIPod Mini with Intel
NetApp AIPod Mini with Intel is a purpose-built runtime AI solution for departments and branch offices. Unlock high-performing, flexible AI solutions that grow with your business and drive transformation.
Deploying AI inferencing at the departmental or branch level presents distinct challenges.
Individual teams often require AI solutions tailored to specific use cases, such as contract analysis in legal, inventory management in retail, or predictive maintenance in manufacturing. These solutions must be cost-effective, easy to implement, and scalable.
However, enterprise AI infrastructures are often oversized and unnecessarily complex for these needs. This mismatch leads to wasted resources and slowed innovation.
To address these challenges, NetApp and Intel have collaborated to deliver NetApp® AIPod™ Mini, a purpose-built runtime AI solution for departments and branch offices. This streamlined, easy-to-deploy solution removes barriers to AI adoption. By combining Intel® Xeon® 6 processors with NetApp's trusted storage and data management capabilities, it empowers teams with precise, context-aware AI insights, seamlessly integrating into workflows to drive impactful outcomes while optimizing costs.
Features and Benefits
The capabilities that set NetApp AIPod Mini with Intel apart.
Key Features
Contextual accuracy and precision
- Uses pretrained LLMs to understand key business nuances, providing more precise results—even subtle differences in wording or interpretation are handled effectively.
Instant access to local knowledge
- Integrates with local and proprietary data repositories to tailor AI models to specific departmental needs.
Proven security
- NetApp is the only enterprise storage vendor who is validated to store top-secret data. Our 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
Cost savings
- Optimized processing power through use of a RAG knowledge graph reduces computational load and operating costs.
- Efficient data handling minimizes errors and the workload on staff, significantly reducing costs.
Harnessing the power of AI inferencing
Accessible AI for departments
Open Platform for Enterprise AI (OPEA)
Achieve the full potential of AI inferencing
High-performance departmental AI
Precise, context-aware insights
Enable simpler, faster AI implementation
Accelerated deployment
Seamless scalability and adaptability
Optimize to achieve success
Tangible, high-impact results
Cost-effective AI solution
Key Use Cases for Secure Departmental AI Inferencing
Contract Review and Legal Insights
Manufacturing and Predictive Maintenance
Inventory Management and Optimization
Thrive with expert-led storage guidance
Get tailored advice on how NetApp AIPod Mini with Intel fits your environment — from sizing and deployment to long-term optimization.
Technical Specifications
Exhaustive hardware and software metrics extracted directly from official documentation.
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ProcessorsIntel Xeon 6 processors with Intel Advanced Matrix Extensions (AMX)
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StorageNetApp AFF A-Series high-performance storage systems
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AI Software FrameworkOpen Platform for Enterprise AI (OPEA)
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Workload TypesDepartmental AI workloads, such as Retrieval-Augmented Generation (RAG) workflows, predictive analytics, and advanced inferencing models
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Use Case ExamplesLocal knowledge management, contract analysis, inventory forecasting
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Access ControlNetApp ONTAP robust access control lists (ACLs) and metadata-driven governance
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CertificationFIPS 140-2 and FIPS 140-3
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CertificationDepartment of Defense Information Network (DoDIN) Approved Products List (APL)
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CertificationCommon Criteria
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CertificationU.S. National Security Agency (NSA) Commercial Solutions for Classified (CSfC) Components List
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Document TypeSolution Brief
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Document IDSB-4332-0425
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