UPDATED 16:27 EDT / MARCH 18 2025

Patrick Osborne, SVP and GM of cloud data infrastructure, HPE Storage, at HPE, talks with theCUBE about enterprise data storage during the Cloud AI Journey With HPE series 2025. AI

HPE outlines how AI is transforming enterprise data storage management

Enterprise data storage is entering a new era as artificial intelligence reshapes the demands placed on modern infrastructure. Faced with surging volumes of unstructured data, GPU-driven workloads and hybrid cloud environments, organizations are reengineering storage strategies to keep pace.

This shift is fueled by the convergence of flexible cloud consumption models, unified data services and the growing necessity for automation. The focus is no longer on piecemeal solutions but on integrated, workload-optimized systems designed to deliver both scalability and long-term efficiency as AI adoption accelerates, according to Patrick Osborne (pictured), senior vice president and general manager of cloud data infrastructure, HPE Storage, at Hewlett Packard Enterprise Co.

Patrick Osborne, SVP and GM of cloud data infrastructure, HPE Storage, at HPE, talks with theCUBE about enterprise data storage during the Cloud AI Journey With HPE series 2025.

HPE’s Patrick Osborne talks with theCUBE about enterprise data storage.

“I think one of the things is that people need to start thinking right now about their data architecture for the future,” Osborne said. “This whole market around AI and how it’s being applied … it’s just the beginning. Incrementalism is not going to work in this case. They need a new way of thinking. They need to set an order of magnitude … a different mindset on performance, on scale, on data services that come along with their data.”

Osborne spoke with theCUBE Research’s Savannah Peterson for the “Cloud AI Journey With HPE” interview series, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI is fundamentally transforming enterprise data storage strategies, prompting organizations to adopt unified, scalable and automated solutions that can handle the growing demands of unstructured data, GPU-driven workloads and hybrid cloud environments. (* Disclosure below.)

Unified data services and AI-driven storage trends

At the heart of today’s data strategy is the concept of unified data services. Enterprises are increasingly seeking flexible, scalable storage architectures that can support a range of workloads — from block and file to object storage — without the burden of managing disparate systems. HPE has responded to this demand with its Electra MP product line, a disaggregated storage architecture built entirely on NVMe and designed for seamless scaling, Osborne explained.

“The opportunity around AI, it’s enormous right now,” he said. “That puts a huge tax on customers’ ability to do data prep, data preparation, data classification. They’re re-architecting their storage ecosystem to be able to deal with all of the demands around scale and performance for GPUs and GPU-accelerated workloads.”

Companies are no longer satisfied with the traditional approach of buying compute, networking and storage from different vendors. Instead, they are gravitating toward outcome-based solutions that deliver a strong total cost of ownership and ROI, with unified systems that handle diverse workloads efficiently, Osborne explained.

“One of the key things I see is that customers, they no longer want to buy on horizontal lines,” he said. “They want outcomes. They want to drive toward a very compelling TCO and obviously an ROI for them that they can show back to their business and they want workload-oriented systems.”

Leveraging AI to transform enterprise data storage management

AI is increasingly being integrated into the management of storage systems, not only driving demand for more robust architectures but also simplifying operations, automating tasks and enhancing observability across storage and hybrid cloud environments. HPE’s GreenLake cloud platform exemplifies this trend by enabling enterprises to manage millions of devices globally, delivering continuous feature updates, improved visibility, sustainability metrics and a streamlined user experience — all of which free IT teams to focus on higher-value initiatives.

“We talk about storage for AI, but we’re also using AI for storage,” Osborne noted. “We are one of the first folks to come out with a full-fledged AI ops stack and it’s not just for storage. It helps customers get a view of their applications, their workloads, how they interact with compute, GPU-accelerated compute, networking, storage. We can do a lot of that work for customers and automate that so they can work on more important things to their business.”

The fast-moving AI landscape, however, brings both excitement and uncertainty. Osborne acknowledged that while customers are energized by the efficiency gains, they also feel the pressure of keeping pace with technological changes. To address this, HPE introduced solutions such as private cloud for AI, offering curated, vertically integrated systems that ease the operational burden for customers.

“The one thing that they have angst about is it’s a super fast-moving portion of the market,” he added. “What we’ve done within storage and hybrid cloud in particular is we came out with what we call private cloud for AI, very curated set of infrastructure for customers. We can really  take the complexity out of that for customers and drive commonality.”

The conversation is set to continue at HPE Discover.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the “Cloud AI Journey With HPE” interview series:

(* Disclosure: TheCUBE is a paid media partner for the “Cloud AI Journey With HPE” interview series. Neither Hewlett Packard Enterprise Co., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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