On March 16 2026, NetApp announced the launch of the NetApp AI Data Engine (AIDE), a secure, unified AI data platform stack that is co‑engineered with NVIDIA and integrated with NVIDIA’s AI Data Platform reference design. The platform is designed to remove roadblocks to AI innovation by providing a single, scalable data foundation for training, fine‑tuning, and inference workloads across hybrid and multi‑cloud environments.
AIDE builds on NetApp’s ONTAP operating system and adds AI‑specific data‑management features such as automated data tagging, lineage tracking, and performance optimization for NVIDIA GPUs. The new stack supports NVIDIA’s RTX PRO GPUs unveiled at GTC and the NVIDIA STX reference architecture, enabling enterprises to run large‑scale AI workloads with consistent data governance and security controls.
The launch is part of NetApp’s broader “Intelligent Data Infrastructure” strategy. In the third quarter of fiscal 2026, NetApp recorded 300 AI customer wins—up from 200 in the prior quarter—with 40 % of those deals in production workloads. The AIDE platform is positioned to capture a larger share of the rapidly growing AI storage spend as more organizations deploy AI workloads at scale.
Syam Nair, NetApp’s Chief Product Officer, said, “Data challenges are bottlenecking projects before they even reach production.” Jason Hardy, Vice President of Storage Technologies at NVIDIA, added, “By integrating with NVIDIA’s AI Data Platform reference architecture, NetApp provides a framework for enterprises to efficiently manage data for large‑scale AI deployments.”
By offering a data foundation that is natively integrated with NVIDIA’s ecosystem, NetApp aims to strengthen its foothold in the AI infrastructure market and differentiate its storage portfolio from competitors. The AIDE platform’s hybrid‑cloud compatibility and AI‑optimized features are expected to accelerate AI adoption for NetApp’s customers while maintaining stringent data governance and security standards.
NetApp’s AIDE launch complements other recent initiatives, such as the disaggregated architecture of its AFX systems and AI‑powered ransomware detection capabilities, further reinforcing the company’s commitment to secure, high‑performance data infrastructure for AI workloads.
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