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.
Powerful, intelligent, and secure: NetApp AI storage solutions turbocharge your AI factory—everywhere your data lives.
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.
Develop AI in the cloud before moving on premises. Or deploy your AI factory entirely in the cloud. Wherever your AI happens, native first-party cloud storage powered by NetApp ONTAP gives you seamless core-to-multicloud data connectivity and mobility. No other storage vendor comes close.
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.
Cisco enables new levels of productivity with FlexPod® AI
Domino slashes data science administrative costs and processing times by 50%.
Dremio enhances data lake management with NetApp StorageGRID® object storage.
Lenovo provides turnkey solutions built for training, fine-tuning, and inferencing at scale.
NVIDIA delivers the most powerful and intelligent AI solutions.
Read customer success stories that demonstrate the value of an intelligent data infrastructure built for AI.
The NFL generates billions of data points each game. NetApp's AI-driven ransomware protection and cyber vault ensure the league's data is secure and recoverable, reducing the risk of data loss and downtime.
Modernization is essential. To support AI in design, production, and delivery, we needed a data foundation that’s intelligent and future-ready.
Jagdish Joshi, Principal of Technology Infrastructure, Mahindra
With our AI-enabled data lake we are now able to collect data at the point of care, and combine it with data from our deep repository of records going back decades, and then transmit actionable insights...
Annarosa Farina, CIO and Chief Data Officer, IEO-Monzino
Confidence—it’s built-in, which means we have a go-to-market plan.
Mike Valora, Technical Solutions Architect, World Wide Technology
As a leader in financial services, S&P Global uses AI to process 8 billion daily transactions, transforming raw financial data into actionable intelligence that powers critical decision-making globally.
To improve performance, we’re leveraging AI to assist our race engineers. Setting up the car for a race is a complex, multidimensional task… but with AI, we’ve reduced [simulation times] to seconds.
Paul Stiegele, IT Product Manager, Porsche Motorsport
A unified data storage environment allows us to focus on the development of our AI-powered wildfire prediction and suppression system with more efficient and tactical decision-making.
Will Karavites, Chief AI/ML & Cloud Architect, Lockheed Martin
Powerful, intelligent, secure AI data storage is essential in scaling AI initiatives.
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.