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LAS VEGAS – HPE Discover Las Vegas 2026 – June 16, 2026 – HPE (NYSE: HPE) today announced major advancements that expand its self-driving networking strategy across AI factories, data centers, and the enterprise edge by introducing new AI data center networking, routing, Agentic AIOps, and security innovations designed to simplify operations and improve performance across increasingly distributed AI-driven environments.
Innovations introduced today advance networking as the foundation of HPE’s agentic enterprise strategy, with self-driving networks delivering the intelligent automation needed to simplify operations, reduce complexity, and enable autonomous IT at scale without human intervention. The new capabilities include support for HPE Networking CX wired access switches in the HPE Mist platform, expanded HPE Marvis AI-driven insights and self-healing automation in HPE Aruba Central, and new AI data center features that use agentic reasoning to speed root cause analysis and remediation.
As part of its expanded AI networking innovations, HPE is also strengthening its networks for AI portfolio with new HPE Juniper Networking QFX Switches optimized for inferencing and scale-up architectures, as well as deeper integration of HPE Juniper Networking data center switching and operations into HPE AI Data Center Solution.
Additionally, a new unified AI-native SASE platform simplifies the convergence of networking and security through common operations and accelerates zero trust adoption to maximize the protection of users, devices, and applications.
The success of agentic AI in the enterprise depends on a modern networking foundation built for autonomous workflows, where network performance, reliability, and intelligence determine the effectiveness of the entire AI architecture.
Rami Rahim
Executive vice president, president and general manager, Networking, HPE
“The success of agentic AI in the enterprise depends on a modern networking foundation built for autonomous workflows, where network performance, reliability, and intelligence determine the effectiveness of the entire AI architecture,” said Rami Rahim, executive vice president, president and general manager, Networking, HPE. “HPE is delivering that foundation, enabling enterprises to deploy agentic AI with greater control, confidence, security, and operational simplicity.”
New networking innovations for AI workloadsThe HPE AI Data Center Solution is expanding to include HPE Networking, integrating HPE Juniper Networking QFX Switches managed through HPE Networking Data Center Director. This new capability adds to HPE’s existing full-stack AI infrastructure, and strengthens HPE’s pre-integrated solution spanning compute, networking, storage, software, and services, accelerating AI data center deployments while improving interoperability and delivering a scalable, production-ready foundation with predictable performance.
These innovations are designed to support increasingly complex AI training and inference workloads, helping customers scale AI infrastructure platforms such as AMD Helios from experimentation to production.
In addition, new introductions to HPE’s networks for AI portfolio include:
HPE’s new switching innovations enable GPUs to spend more time processing workloads and less time waiting on the network, eliminating a key bottleneck in AI deployments while improving infrastructure efficiency and lowering total cost of ownership (TCO). Together, they strengthen HPE’s position as a leader in delivering end-to-end AI infrastructure that enables customers to move from experimentation to production faster.
Extending Agentic AIOps across the HPE Self-Driving Network portfolioHPE continues to advance its agentic enterprise vision that includes its unified self-driving networking portfolio by aligning the HPE Aruba Central and HPE Mist AI platforms with shared agentic capabilities, common hardware, and consistent AI-native operations. This integration between platforms marks yet another milestone in HPE’s ‘cross-pollination’ strategy to unite the HPE Aruba Networking and HPE Juniper Networking portfolios. New AI for networks capabilities in the HPE portfolio include:
HPE has also expanded data center operations within the HPE Mist platform. In addition to existing self-driving data center networking capabilities, such as proactive HPE Marvis actions and minis, HPE has now added the following:
HPE Networking, compute, and hybrid cloud integrations to enable HPE’s agentic enterprise visionBuilding on the successful integration with HPE OpsRamp Software and HPE Morpheus Software, HPE Networking is further expanding its unified infrastructure stack to deliver a seamless, cross-domain experience across compute and hybrid-cloud environments. This expansion accelerates the journey toward a self-driving data center by bridging operational silos, streamlining operations, and delivering a single point of control with the following announcements:
Unified SASE with zero trust securityHPE also announced a new unified SASE platform, built on HPE Networking EdgeConnect and powered by advanced firewall technology, that converges SD‑WAN and cloud‑delivered security in a single, AI‑native management console. As AI helps attackers discover and exploit vulnerabilities faster, the platform minimizes exposure through accelerated zero trust adoption and simplified operations. This unified approach by HPE protects self-driving networks by ensuring that only authorized users and devices can securely access the resources they need while keeping those resources hidden from attackers. Key benefits include:
New opportunities to reinvest in AI networkingHPE Financial Services is launching a new Network Migration Program to help organizations move to AI‑ready networks faster, with lower cost and less risk. The program brings together better‑than‑cash hardware financing, 0% software financing, and a new IT Asset Program that unlocks value from existing gear to fund innovation.
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