HPE President and CEO Antonio Neri used his HPE Discover keynote to position the company’s strategy around a central premise: enterprises cannot scale AI without first modernizing the infrastructure underneath it.
Throughout his remarks, Neri repeatedly returned to the idea of architecture, arguing that AI success depends on systems designed to adapt over time. That foundation, he said, spans networking, hybrid cloud, compute, storage, security, and services, with HPE GreenLake serving as the connective platform across the portfolio.
HPE puts networking at the center of AI infrastructure
One of Neri’s clearest messages was that networking has moved from a supporting role to a core requirement for AI performance.
With HPE’s acquisition of Juniper Networks now part of the company’s broader strategy, Neri said HPE is focused on delivering secure, self-driving networks across campus, branch, data center, and AI environments.
“The network is both an essential enabler and the main limit on AI performance,” Neri said.
That message reflects HPE’s push to position networking as a differentiator for AI training, inference, and distributed workloads.
Neri highlighted new HPE Juniper Networking offerings designed for scale-up, scale-out, and scale-across AI fabrics, including switches and routing platforms built to support large GPU clusters and distributed AI data centers.
GreenLake becomes HPE’s operating layer for AI and hybrid cloud
Neri also emphasized HPE GreenLake as the company’s unified operating model for increasingly distributed enterprise environments. He positioned GreenLake Intelligence as a means to bring agentic AI into IT operations, including network performance management, root cause analysis, remediation, and virtual machine migration planning.
During the keynote, Neri described GreenLake Intelligence as a system that can correlate telemetry, dependencies, and operational signals across infrastructure, cloud, applications, and operations.
The goal, he said, is to help customers move from observing issues to understanding and resolving them faster.
That is particularly relevant as enterprises manage virtual machines, containers, AI infrastructure, private cloud, public cloud, and edge environments simultaneously.
Neri said HPE is working to simplify how customers provision, protect, and operate hybrid environments while giving them more flexibility amid rising virtualization costs.
Agentic AI brings new governance and infrastructure requirements
A second major theme was the rise of the “agentic enterprise,” in which AI agents are not just producing answers but also taking action across business systems. Neri said this shift creates new requirements for governance, identity, security, data access, and infrastructure control.
“AI is no longer just a tool for finding answers,” Neri said. “It is a critical part of how work gets done.”
To support that shift, HPE is expanding Private Cloud AI with new capabilities for agent governance, secure operations, data preparation, and inference scaling. Neri said enterprises need agents that are governed, trained on trusted enterprise data, and supported by infrastructure that scales without incurring runaway costs.
He also pointed to HPE’s work with NVIDIA and its own Zerto and HPE Alletra Storage MP X10000 as part of the company’s broader AI stack, including secure rollback capabilities, metadata enrichment, MCP support, and expanded model access.
Energy, security, and trust shape HPE’s AI roadmap
Neri closed much of his AI argument around trust and sustainability. He warned that AI growth is creating new power and cooling pressures and said the future will be defined not just by compute, but by how efficiently infrastructure can be powered, cooled, and connected.
Security was another consistent point. Neri described resilience as a converged strategy across systems, data, and networking, with zero trust and SASE making the network an active security layer.
For HPE, the broader message was that AI adoption is no longer just about experimentation. Neri framed the company’s role as helping enterprises and partners build the foundation for production AI: secure networks, hybrid cloud operations, trusted data, governed agents, and infrastructure designed to scale.
“Start with the network,” Neri told attendees. “Make your network the core foundation of your AI and cloud solutions.”
HPE is reinforcing this message through its vast partner ecosystem. Catch up on the incentives and enablement additions announced at HPE Discover this week.