NTAPNetApp, Inc.

“A global financial leader signed a $20 million deal with NetApp to accelerate its AI-driven fraud detection and customer personalization. NetApp's GPU-ready, low-latency data-lake platform delivers high-performance access to multi-petabyte datasets, enabling global real-time fraud scoring, continuous model retraining, and robust enterprise governance and resiliency.”

“Product revenue of $966 million was up 14% year-over-year driven by the execution of a multiyear agreement with Google Cloud to deliver secure, AI-ready data infrastructure to Google Distributed Cloud environments.”

“Our AI business performed really strongly in the quarter. We noted about 500 AI wins in the quarter, 1,100 for the full year, those compared to roughly 400 for the whole of the prior fiscal year. So you are seeing strong uptick in enterprise AI. In enterprise AI configuration, the -- all elements of our flash portfolio performed strongly, high-performance flash, capacity flash and block storage. And so we see customers deploying these high-performance compute and storage environments to make sure that the GPUs are fully used.”

“All of the 500 AI wins are on-prem wins and they combine a mix of enterprise as well as neo cloud. I think if you look at the mix of the use cases, they are roughly the same pattern as we saw before. Half of them are really tied to data preparation, large-scale analytic environment that are now being operated under GPU compute. And then the remainder are roughly half and half between training and fine-tuning large language models and inferencing.”

“AI was a clear growth engine for us in FY '26. We had approximately 500 AI and data preparation wins in Q4 alone, bringing the FY '26 total to over 1,100. Our ability to help customers operationalize AI at scale, accelerate time to insight and drive real business outcomes is putting us increasingly at the center of our customers' AI journeys.”

“AFX has already had good wins in neo cloud, in financial services, in hedge funds and in life sciences, which were the target customers for it, and we are seeing more and more customers beginning to qualify it. It will take time. It's a new architecture. We always believe it would take time, but it is serving the purpose for what we created it for. With regard to AIDE, we have brought it to certain clients, and we are seeing good -- kind of good feedback on the value and the benefits it provides, especially as our large installed base of customers who have huge amounts of unstructured data on NetApp wanting to organize that data for AI projects, AIDE is a big help to them in doing so.”

“There's 2 use cases. As you correctly said, one for our installed base, it creates a very sticky competitive moat where we are able to give them a huge amount of value for their existing infrastructure. We can choose to monetize that as either stand-alone software subscription or as part of a broader offering, a fuller solution, including storage. And then I think with regard to the net new environments, as I said, I was particularly pleased with the fact that a very large percentage of our AI wins were from customers who we are not the incumbent data infrastructure provider.”

“In FY '26, we furthered our AI innovation, launching next-generation solutions, including AFX and AI Data Engine, which are seeing strong early momentum and positive feedback from customers and partners. Additionally, we announced enhancements to the performance and capabilities of our all-flash arrays and expanded our converged AI solutions. These offerings help organizations simplify their AI infrastructure, eliminate silos and accelerate their data pipelines, reinforcing NetApp's role as the data infrastructure platform for AI.”

“Another significant achievement is our expanded partnership with Google Cloud for Google Distributed Cloud, which underscores both the growing opportunity in AI and sovereign cloud environments and the strength of our technology. This collaboration enables government agencies and regulated enterprises to leverage advanced AI capabilities from Google and NetApp's secure-by-design data infrastructure platform to modernize operations and accelerate AI-driven insights, even in the most sensitive environments.”

“a leading insurance company accelerated financial risk modeling and data science by connecting Azure Databricks directly to their data in Azure NetApp Files, ensuring security, governance and performance. Similarly, an Asian engineering company streamlined its GenAI chatbot deployment on AWS by leveraging FSx for NetApp ONTAP, allowing secure permission-aware access to data in place and reducing operational overhead.”

“A European government agency required real-time situational awareness with ultra-fast, latency-free data processing. NetApp's disaggregated AFX solution for their NVIDIA SuperPOD environment enabled independent scaling of compute and storage, delivering flexible, future-proof infrastructure. Our rapid execution and expertise empowered a robust, mission-critical AI platform to meet evolving operational demands.”

“What I feel really, really good about is the fact that especially in our AI business, the number of customers who we are able to win in accounts that are not traditionally NetApp large installed base accounts have been super-strong. And so what that gives me confidence is we are winning on customers' business priorities, which are durable even in the face of commodity price variations.”

“Google Distributed Cloud is where Google brings its advanced technology stack to a disconnected or likely connected data center. It could be for regulated industries. It could be for public sector environment, it could be for national security environment and NetApp was chosen by Google to be a large chunk of the data infrastructure within the Google Distributed Cloud architecture.”

“We've fueled nearly 50 partner AI factories and labs as they build out their real-world test beds to accelerate AI deployment. A recent example of this is at World Wide Technology's live AI Proving Ground, where NetApp AFX all-flash storage is featured, allowing customers to test architectures, validate performance and quickly move from experimentation to deployment.”

“We have built out a specialist team to pursue AI opportunities, both those that are focused on completely new segments like neo and sovereign cloud or to help our frontline teams to drive AI wins in the enterprise. We have also expanded coverage of accounts because we feel good about our opportunity to gain share.”

“A leading manufacturer chose NetApp Keystone with all-flash and StorageGRID to support its AI strategy requiring a secure, flexible platform for massive datasets. Keystone delivers secure, governed self-service at scale, enabling rapid collaboration and predictable on-demand performance.”

“A leading neo cloud turned to NetApp for intelligent all-flash storage infrastructure, eliminating complexity and powering orchestration at cloud scale. The new deployments will help accelerate AI onboarding and time-to-value.”

“this is what gives us confidence to show an acceleration in our business. We think that the strength is broad-based across segments and verticals and geographies. We think that we are very well positioned because of our installed base of data, our hybrid cloud data infrastructure pipelines that make it much easier for customers to use AI and the fact that we can offer our customers life cycle cost management from super-high performance flash to exceptionally cost-effective disk-based environment.”

“NetApp stands at the forefront of a transformative era driven by rapid AI adoption and explosive cloud growth. Enterprises are reimagining how they operate and compete and only NetApp delivers truly hybrid intelligent data infrastructure on-premises and in the cloud, all-flash and hybrid flash to seamlessly protect, secure, govern and activate the entire data estate for AI.”

“As enterprise AI adoption scales, the primary challenge is not compute, but activating large volumes of unstructured data. A significant share of the world's enterprise unstructured data resides on NetApp solutions and our ability to activate securely and efficiently across hybrid and multi-cloud environments gives us a powerful competitive advantage.”

“As the only true hybrid cloud platform, unifying data governance across on-premises and cloud environments, we enable zero-copy data activation, eliminating the cost and risk of moving data and transforming fragmented infrastructure into a secure launchpad for real-time AI and automation.”

“We are, as I said in my comments, starting to see some of the AI use cases also show up in the cloud and customers starting to use our tools in the cloud for AI use cases.”

“Our guidance reflects a solid underlying enterprise IT demand environment with enterprise AI activity increasing relative to fiscal year 2026.”

“We don't break it out. As I mentioned earlier on, I think, the previous question, we only talk about -- we quantify the number of opportunities or activity, let's say, wins in the on-prem business, but we don't break out bookings or revenue for AI.”