AI happens everywhere. Inherently hybrid and multicloud, enterprise AI demands a proven, scalable AI infrastructure capable of mobilizing and protecting your data natively across on-prem and all three major public clouds. For that, there’s only NetApp.
Power any AI workload across your hybrid multicloud environment with NVIDIA DGX SuperPOD-certified performance and market-leading efficiency and scale.
Explore hybrid cloudStreamline your AI factory with unified data storage and management, intelligent data services, and the broadest ecosystem integrations.
Unpack intelligenceProtect AI workflows everywhere with NetApp enterprise AI security and governance, including real-time ransomware detection and guaranteed recovery.
Secure your storage
NVIDIA’s Jensen Huang and NetApp’s George Kurian talk about how the NetApp data platform for AI dramatically simplifies and accelerates NVIDIA-powered enterprise AI.

Accelerate enterprise AI with confidence. NetApp AFX disaggregated storage and NetApp AI Data Engine (AIDE) provide a unified foundation that powers your AI factory with scalable performance, built-in governance, and real-time data intelligence.

Leapfrog AI hurdles with a simple, affordable, secure AI inferencing solution that’s built to scale and ready to run. NetApp AIPod® Mini with Intel delivers insights anywhere you need them.

Get just the optimized AI data infrastructure you need, from POC to production, and gain easy access to all the latest cloud-based AI tools. NetApp Keystone delivers the ideal data foundation for AI and other evolving workloads—as a service.

Simplify data preparation for AI with NetApp intelligence.
Deliver HPC performance with NVIDIA SuperPOD-certified AI solutions.
Streamline fine-tuning, inferencing, and RAG with converged AI infrastructure.
Empower your innovators with NetApp GenAI tools for inferencing and RAG.
Save time, effort, and cost with the NetApp Instaclustr® managed platform.
Scale secure, enterprise-grade AI with Cisco, NVIDIA, and NetApp.



Much of the world’s unstructured data is already stored on the NetApp data platform. Now we accelerate your AI journey with an end-to-end, deeply integrated partner ecosystem that provides everything else you need.


Jagdish Joshi, Principal of Technology Infrastructure, Mahindra

Annarosa Farina, CIO and Chief Data Officer, IEO-Monzino

Mike Valora, Technical Solutions Architect, World Wide Technology


Paul Stiegele, IT Product Manager, Porsche Motorsport

Will Karavites, Chief AI/ML & Cloud Architect, Lockheed Martin
Enterprises look to AI to accelerate insights and innovation from data. Rather than large-scale training of AI models, enterprises typically seek to use existing models for fine-tuning, inferencing, and RAG. Successfully deploying and scaling enterprise AI requires a modern data pipeline built on high-performance AI infrastructure, particularly AI storage.
AI infrastructure refers to modern IT architectures engineered to meet the demands of artificial intelligence workloads and data pipelines. In particular, AI/ML processes, involving massive volumes of data and sophisticated computational models, require high-performance, highly secure hybrid storage resources and streamlined data management.
Accessing large volumes of data across on-premises and cloud storage resources, AI presents enterprises with significant data security challenges. Ransomware detection, disaster recovery, and data access controls and governance must all be addressed to successfully manage data security for AI.