NetApp, the intelligent data infrastructure company, announced a collaboration with NVIDIA to accelerate enterprise adoption of agentic AI. By supporting the NVIDIA AI Data Platform reference design within its NetApp AIPod solution, NetApp enables organizations to build secure, governed, and scalable AI data pipelines for retrieval-augmented generation (RAG) and inferencing. These capabilities are powered by the proven data management strength of NetApp ONTAP, allowing businesses to fully harness AI innovation.
As enterprises increasingly turn to AI to address complex challenges, they require intelligent data infrastructure that eliminates the data silos hindering innovation. According to NetApp’s latest Data Complexity report, 79% of technology and business leaders believe that unifying their data estates is essential to achieving leading AI outcomes by 2025.
“A unified and comprehensive understanding of business data is the vehicle that will help companies drive competitive advantage in the era of intelligence, and AI inferencing is the key,” said Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. “We have always believed that a unified approach to data storage is essential for businesses to get the most out of their data. The rise of agentic AI has only reinforced that truly unified data storage goes beyond just multi-protocol storage. Businesses need to eliminate silos throughout their entire IT environment, whether on-premises and in the cloud, and across every business function, and we are working with NVIDIA to deliver connected storage for the unique demands of AI.”
The NetApp AIPod solution built on the NVIDIA AI Data Platform incorporates NVIDIA accelerated computing to run NVIDIA NeMo Retriever microservices and connects these nodes to scalable storage. Using this reference design in the NetApp AIPod solution brings intelligence to enterprise data so customers can scan, index, classify and retrieve large stores of private and public documents in real time. This augments AI agents as they reason and plan to solve complex, multistep problems, helping enterprises turn data into knowledge and boost agentic AI accuracy across many use cases.
“Agentic AI enables businesses to solve complex problems with superhuman efficiency and accuracy, but only as long as agents and reasoning models have fast access to high-quality data,” said Rob Davis, Vice President of Storage Technology at NVIDIA. “The NVIDIA AI Data Platform reference design and NetApp’s high-powered storage and mature data management capabilities bring AI directly to business data and drive unprecedented productivity.”
The NVIDIA AI Data Platform aligns with NetApp’s vision for advanced data management capabilities to accelerate AI pipelines by leveraging continuously updated metadata and vectorization to enable queries to produce more timely, relevant and accurate results.
Additional Resources
- AIPod: Delivering the Promise
- NetApp HPC Solutions: AI Performance on High
- Generative AI Solutions
- NetApp Storage Now Validated for NVIDIA DGX SuperPOD, NVIDIA Cloud Partners, and NVIDIA-Certified Systems
- NetApp Fuels Future of Agentic AI Reasoning Solutions with NVIDIA AI Data Platform
