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Artificial Intelligence

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.

Streamline hybrid enterprise AI workflows

Powerful, intelligent, and secure: NetApp AI storage solutions turbocharge your AI factory—everywhere your data lives.

Instant data access

Power any AI workload across your hybrid multicloud environment with NVIDIA DGX SuperPOD-certified performance and market-leading efficiency and scale.

Explore hybrid cloud

Intelligent data infrastructure

Streamline your AI factory with unified data storage and management, intelligent data services, and the broadest ecosystem integrations.

Unpack intelligence

Planet's most secure storage

Protect AI workflows everywhere with NetApp enterprise AI security and governance, including real-time ransomware detection and guaranteed recovery.

Secure your storage

NetApp and NVIDIA. Enabling enterprise AI.

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.

Power any AI workload
Simple, secure inferencing
AI infrastructure as a service
 

AI beyond limits

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.

Explore NetApp AFX

Meet NetApp AIDE

 

Eliminate the barriers to AI advantage

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.

Watch the video

View solution brief

 

Enable an on-demand AI journey

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.

View top 10 reasons

Check out Keystone

Accelerate every phase of your AI factory

Do more faster with powerful, intelligent, and secure data storage for AI
 

Modernize your data lake

Simplify data preparation for AI with NetApp intelligence.

Experience StorageGRID

Power demanding workloads

Deliver HPC performance with NVIDIA SuperPOD-certified AI solutions.

More on HPC

Speed time to insight

Streamline fine-tuning, inferencing, and RAG with converged AI infrastructure.

Discover AIPod

Build GenAI workflows

Empower your innovators with NetApp GenAI tools for inferencing and RAG.

Check out GenAI tools

Deploy open-source RAG

Save time, effort, and cost with the NetApp Instaclustr® managed platform.

Explore Instaclustr

Turbocharge AI adoption

Scale secure, enterprise-grade AI with Cisco, NVIDIA, and NetApp.

More on FlexPod AI

Cloud is critical for AI. We have you covered.

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.

Accelerate GenAI apps with AWS.

Bring AI to your data with Azure AI.

Connect to Google Cloud AI apps.

Industry’s most connected AI ecosystem

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.

AI innovators across industries trust NetApp

It is demonstrate the value of an intelligent data infrastructure built for AI.
Media and entertainment
Manufacturing
Healthcare
IT
Financial services
Automotive
Government
 

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

 

Scaling AI in the enterprise

Powerful, intelligent, secure AI data storage is essential in scaling AI initiatives.

What is enterprise AI?

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.

What is AI infrastructure?

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.

What is enterprise AI security?

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.