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NETAPP AI SOLUTIONS

Intelligent data. Unmatched results.

Everyone wants an AI edge, but few have it. The difference is data that's ready. That's why NetApp brings AI straight to your data, instantly and universally available to power the next wave of AI applications and agents. It's always current, always secure, and always ready to meet your data where it lives, so you get better outcomes and win.

e.g. 64 H100 GPUs, training on 3PB of data, hybrid cloud

OR START WITH

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RUN AI WHERE YOUR DATA LIVES

Your data stays put. Your AI shows up.

On-premises. In the cloud. Or both. NetApp brings AI to your data - no migration, no disruption - so you move at the speed of business, not the speed of data movement.

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THE NETAPP PLATFORM

Intelligent data infrastructure for the AI era and beyond.

One platform for any data, any workload, anywhere - built to modernize, secure, and transform data to be AI-ready.

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Frequently Asked Questions

Cloud is critical for AI. NetApp has you covered.

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  • How does NetApp unify AI data across hybrid and multicloud environments?

    NetApp ONTAP provides first-party integrations with AWS, Microsoft Azure, and Google Cloud so organizations can connect on-premises and cloud data without relying on third-party connectors. A unified management layer helps maintain consistent access, governance, and performance wherever AI workloads run.

  • How does NetApp secure training data in hybrid cloud environments?

    NetApp protects AI training data across hybrid environments using a layered approach: FIPS 140–3 validated storage encryption, real-time ransomware detection with automated response, immutable Snapshot copies for rapid recovery, and role-based access controls enforced consistently across on-premises and cloud deployments. NetApp also supports compliance with frameworks including SOC 2, ISO 27001, FedRAMP, and HIPAA, so enterprises can meet regulatory requirements without slowing down AI operations.

  • How does NetApp integrate with NVIDIA DGX SuperPOD?

    NetApp storage solutions are certified for use with NVIDIA DGX SuperPOD, the reference architecture for large-scale AI training. NetApp's high-performance file storage integrates directly into the DGX SuperPOD design to provide the low-latency, high-throughput data access that GPU-intensive AI training workloads require. This certification means organizations can deploy NetApp with confidence in validated, production-ready configurations.

  • How does modernizing legacy IT infrastructure help organizations scale AI?

    Legacy infrastructure, including storage systems not designed for AI data pipelines, creates bottlenecks that prevent AI workloads from scaling beyond pilots. Modernizing with NetApp provides the high-throughput, low-latency storage AI requires, integrates with cloud environments to give teams access to the latest AI tools, and enables a storage-as-a-service consumption model through NetApp Keystone, so organizations can scale capacity on demand without over provisioning.

Gartner predicts that through 2026, 60% of AI projects that are not supported by AI-ready data will be abandoned

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NetApp AI Solutions

That’s your AI advantage.

The result is AI-ready data in place, powering your most demanding workloads with trusted outcomes at every step.