NetApp and NVIDIA Deepen Partnership to Power Enterprise AI Transformation

In a major step forward for enterprise AI adoption, NetApp has announced an expanded partnership with NVIDIA that brings powerful new integrations between NetApp ONTAP AI and NVIDIA AI Enterprise software. This collaboration is designed to help organizations more rapidly develop, deploy, and scale AI workloads—without the complexity that typically comes with managing massive datasets and performance-intensive infrastructure. 

For business technology decision-makers, this announcement signals a strategic alignment of two key players in the AI and data management space, delivering new capabilities that address real-world challenges in scaling artificial intelligence across the enterprise. 

“NetApp and NVIDIA are longstanding technology partners, jointly serving hundreds of customers for AI model training and inferencing,” said Jonsi Stefansson, Senior Vice President and Chief Technology Officer at NetApp.  

“NetApp is committed to helping our customers navigate the era of intelligence by taking control of their data without silos. Harnessing AI to drive innovation and operational excellence is more than a technology problem. It’s a data strategy problem. By collaborating with NVIDIA, NetApp is positioned to be the leader in providing intelligent data infrastructure for AI factories, helping customers execute a data strategy that can carry them into the future,” he said.  

AI at the Core of Enterprise Innovation 

Artificial intelligence is moving from the lab to the heart of business strategy. Whether it’s predictive analytics, generative AI, customer insights, or intelligent automation, enterprises are under pressure to operationalize AI at scale—and fast. 

NetApp’s latest enhancements, anchored by this NVIDIA integration, are tailored to meet that demand. The company’s new all-flash AFF A-Series systems offer up to 2.5x greater performance, dramatically accelerating the data pipelines that power AI model training and inference. By combining this next-gen storage performance with NVIDIA’s proven GPU acceleration and enterprise AI stack, organizations can now deploy end-to-end AI solutions with greater speed, flexibility, and simplicity. 

“Together, NetApp and NVIDIA are making it possible to leverage the full potential of AI,” said Charlie Boyle, Vice President, DGX Platforms at NVIDIA. “By integrating NetApp’s advanced data management capabilities with the NVIDIA AI Data Platform, DGX SuperPOD, and NVIDIA reference architectures, enterprises and cloud providers can deploy a seamless, high-performance environment for AI model training and inferencing applications.” 

What the NetApp–NVIDIA Collaboration Delivers 

At the center of this announcement is ONTAP AI, a joint solution that tightly integrates NetApp storage with NVIDIA DGX systems. The latest updates include: 

• Support for NVIDIA AI Enterprise: A full-stack suite of AI tools, frameworks, and services optimized for deployment in production environments. This enables enterprises to run secure, scalable AI workloads backed by the performance and reliability of NetApp’s data infrastructure. 

• Simplified Deployment: Pre-validated reference architectures and automation tooling make it easier to stand up AI environments, whether on-prem, in the cloud, or in hybrid models. 

• Improved Data Mobility: NetApp’s hybrid cloud capabilities ensure seamless data movement between edge, core, and cloud environments, allowing AI teams to train models where it makes the most sense—without data silos or duplication. 

• Unified Data Management: With BlueXP and ONTAP, IT leaders gain full visibility and control over their AI data, helping ensure compliance, optimize storage usage, and accelerate performance across the AI lifecycle. 

In a world where data is the new currency, NetApp and NVIDIA are creating a powerful foundation for enterprise innovation—helping IT leaders move beyond experimentation to real, production-grade AI. 

What this means for SAPinsiders 

Accelerated AI deployment with enterprise-grade infrastructure. By combining NetApp’s high-performance, scalable storage systems with NVIDIA AI Enterprise and DGX infrastructure, organizations can move from pilot projects to full-scale production AI faster and with less complexity. Pre-validated architectures reduce deployment time and operational risk, helping teams focus on innovation instead of integration. 

Seamless data mobility and hybrid cloud flexibility. NetApp’s unified data fabric and deep cloud integrations make it easy to move AI workloads across edge, core, and cloud environments. This flexibility is essential for supporting real-world AI use cases like distributed model training, real-time analytics, and scalable inference—without being locked into a single cloud or infrastructure vendor. 

AI-powered insights for SAP and business-critical workloads. For enterprises running SAP systems, this partnership supports the growing need to layer AI and machine learning on top of ERP and operational data. Whether it’s predictive maintenance, intelligent forecasting, or optimizing supply chains, the combined capabilities of NetApp and NVIDIA enable faster, more intelligent decision-making across business-critical systems.