HPE Expands Self-Driving Network Across Edge, Campus, Data Center, and AI Factories

HPE integrates the HPE Juniper Networking portfolio into HPE AI Data Center Solutions, accelerating the deployment of full-stack, AI-native infrastructure that enables proactive operations.

Expanding agent-driven AIOps — HPE Mist platform now supports HPE Networking CX switches; HPE Aruba Central introduces the HPE Marvis Self-Driving framework; enhanced capabilities simplify data center operations.

Integrated SASE with zero-trust security simplifies networking and security operations, serving as a critical component of the HPE Self-Driving Network strategy.

HPE strengthens integration across networking, compute, and hybrid cloud, enabling shared AI insights and automated actions.

*This release is a Japanese summary based on the English announcement made by HPE (headquartered in Houston, Texas, USA) at HPE Discover Las Vegas 2026 on June 16, 2026 (local time). Please refer to the original for details.

HPE has announced a major expansion of its Self-Driving Network strategy across AI factories, data centers, and enterprise edge environments. New innovations in AI data center networking, routing, agent-driven AIOps, and security are designed to simplify operations and improve performance across increasingly distributed IT environments driven by AI adoption.

Through innovations that strengthen networking as the foundation of HPE’s agent-driven enterprise strategy, the Self-Driving Network delivers intelligent automation essential for simplifying operations, reducing complexity, and enabling autonomous, human-free operations at scale. New capabilities include support for HPE Networking CX wired access switches on the HPE Mist platform, expanded AI-driven insights and self-healing automation via HPE Marvis on HPE Aruba Central, and new AI data center features that accelerate root cause analysis and remediation through agent-based inference.

As part of its AI networking expansion, HPE is enhancing its Networks for AI portfolio. It is optimizing new HPE Juniper Networking QFX switches for inference and scale-up architectures, while further strengthening the integration of HPE Juniper Networking’s data center switching and operations into HPE AI Data Center Solutions.

The new AI-native integrated SASE platform simplifies the convergence of networking and security through a common operational foundation, accelerating zero-trust adoption and maximizing protection for users, devices, and applications.

Rami Rahim, Executive Vice President and General Manager, Networking at HPE, said:

"The success of agent-based AI in the enterprise depends on a modern networking foundation capable of supporting autonomous workflows. Network performance, reliability, and intelligence directly impact the effectiveness of AI architectures. HPE delivers this foundation, enabling enterprises to adopt agent-based AI with greater control, reliability, security, and operational simplicity."

New Networking Innovations for AI Workloads

To support rapid deployment of AI data center infrastructure, improved interoperability, and scalable, production-ready platforms with predictable performance, HPE is expanding its HPE AI Data Center Solution by integrating HPE Networking and HPE Juniper Networking QFX switches managed by HPE Networking Data Center Director. This expansion further strengthens HPE’s full-stack AI infrastructure solution, pre-integrating compute, networking, storage, software, and services.

These innovations aim to support increasingly complex AI training and inference workloads, enabling AI infrastructure such as AMD Helios to scale from experimentation to production.

Additional new products added to HPE’s Networks for AI portfolio include:

HPE Juniper Networking QFX5140 Switch: Designed for inference clusters and edge AI use cases, delivering performance and scalability to meet rapidly growing AI inference demands. It plays a critical role in extending the HPE AI Data Center Solution to the edge.

HPE Juniper Networking QFX5252 Switch tray for AMD Helios: A scale-up module for the AMD Helios AI rack-scale platform, providing the low-latency, high-bandwidth switching required to maximize performance in large-scale AI infrastructure.

HPE’s switching innovations reduce GPU wait time due to network latency, extend workload processing time, eliminate bottlenecks in AI deployments, improve infrastructure efficiency, and lower total cost of ownership (TCO). Through these innovations, HPE further strengthens its efforts to deliver end-to-end AI infrastructure that accelerates the transition from experimentation to production.

Expanding Agent-Driven AIOps Across the HPE Self-Driving Network Portfolio

HPE continues to advance its agent-driven enterprise vision, including an integrated Self-Driving Network portfolio, by aligning the HPE Aruba Central and HPE Mist AI platforms through common agent-based capabilities, shared hardware, and consistent AI-native operations. The enhancements to both platforms represent a key milestone in HPE’s cross-portability strategy toward integrating the HPE Aruba Networking and HPE Juniper Networking portfolios. New features in HPE’s Networks for AI portfolio include:

Integration of HPE Networking CX switching portfolio with HPE Mist platform: With HPE Mist AI platform now supporting HPE Networking CX switches, consistent AI-driven automation and self-healing capabilities are delivered across wireless LAN, WAN, and wired LAN domains.