HPE Disrupts Networking Industry With Expanded AI-Native Portfolio; Reimagines Future of IT Operations With Self-Driving Networks Strategy
This expansion includes new AIOps capabilities and common hardware that deliver a consistent, self-driving experience across both
“In the era of AI, customers need networks that are purpose-built with AI and for AI to handle the rapid growth of connected devices, complex environments, and increasing security threats,” said
In a short period of time,
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HPE Juniper Networking Mist Large Experience Model (LEM), which uses billions of data points from apps such as Zoom and Teams, combined with synthetic data from digital twins to rapidly detect, fix, and predict video issues, will now be available inHPE Aruba Networking Central. -
HPE Aruba Networking’s Agentic Mesh technology will be available for Mist, enhancing anomaly detection and root-cause analysis with advanced reasoning and autonomous or assistive actions. -
Mist will adopt the organizational insight and global NOC views from
HPE Aruba Networking Central, delivering a unified user experience across both platforms. -
New WiFi-7 access point models that work across
HPE Aruba Networking Central andHPE Juniper Networking Mist, ensuring buyer protection.
High-performance networking is critical for running AI workloads, with computing for AI inferencing moving to the edge. This shift is driven by latency, privacy, and economics, and creates a need for high performing switches and routers. To address this growing segment of performance-hungry, accelerated compute,
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The
HPE Juniper Networking QFX5250 switch, which connects GPUs within data centers with the world's highest performanceUltra Ethernet Transport -ready switch. Built on Broadcom Tomahawk 6 silicon, with 102.4Tbps bandwidth, the QFX5250 combinesHPE Juniper Networking’s Junos innovation, HPE’s liquid cooling leadership, and AIOps intelligence to deliver performance, power-efficiency, and simplified operations for next-generation AI infrastructure. -
The
HPE Juniper Networking MX301 multiservice edgerouter brings AI inferencing closer to the source of data generation, and addresses the need for high-performance edge routing. This compact 1RU router delivers 1.6 Tbps performance and 400G connectivity across inference, multiservice, metro, mobile backhaul, and enterprise routing environments.
Also prior to
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HPE’s solutions for AI factories have been extended to include
HPE Juniper Networking edge on-ramp and long haul data center interconnect (DCI). This extension leverages theHPE Juniper Networks MX and PTX high-speed routing platformsto enable high-scale, secure and low latency connections from users, devices, and agents to AI factories and connections between clusters deployed across longer distances or across multiple clouds. These new capabilities complement HPE’s AI factory networking solutions, including the NVIDIA Spectrum-X Ethernet networking platform and NVIDIA BlueField-3 data processing units (DPUs). Together they provide customers with improved workload experiences across various production scenarios. -
AMD “Helios” AI rack-scale architecture, featuring industry-first scale-up Ethernet networking. The solution is a single turnkey rack capable of a trillion parameter AI training and high-volume inferencing, delivering 260 TB/s of scale-up bandwidth and 2.9 exaflops of FP4 performance. The included, purpose-built
HPE Juniper Networking scale-up switch, developed in collaboration with Broadcom, and software are the first in the industry to supercharge AI training and inference performance using standards-based Ethernet.
New innovations connect management and intelligence across the full stack empowering IT teams to monitor, understand, and act instantly on their entire hybrid environment, including:
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Integration of
HPE Juniper Networking’sApstra Data Center Director and Data Center Assurance software with OpsRamp, available through GreenLake, delivers full-stack observability, predictive assurance, and proactive issue resolution across compute, storage, networking, and cloud. - New Compute Ops Management innovations—including OpsRamp integration, Compute Copilot, and self-service root-cause analysis—to centralize visibility, speed troubleshooting, and elevate the operator experience.
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Agentic Root Causing & Model Context Protocol (MCP) Support (limited availability) in both GreenLake and
HPE OpsRamp Software allows customers to connect AI agents from third-party software for no-code integrations, and enriches those agents, helping GreenLake Intelligence eliminate blind spots in dynamic environments. -
New GreenLake Intelligence capabilities provide faster insights and guided actions with new AI agents for
HPE Sustainability Insight Center, the GreenLake Wellness Dashboard, and OpsRamp Agentic Root Causing, helping bridge data silos and enable agentic analytics across the full IT stack.
New zero-percent financing lowers barriers to AI-native networking adoption
Availability
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HPE Juniper Networking QFX5250 switch will be available in Q1 2026 -
HPE Juniper Networking MX301 multiservice edge router will be available inDecember 2025 -
HPE OpsRamp support and integrations timeline:- Model Context Protocol: Available now for select customers with full availability early 2026
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Compute Ops Management: Available
December 2025 -
Storage manager: Available
February 2026 Apstra Data Center Director: Available Q2 2026
Related Resources:
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Blog:
HPE Networking unites microservices and agentic AI to deliver self-driving networks -
Blog: Data Sovereignty Meets AI-native with
HPE Aruba Networking Central On-Premises -
Blog:
HPE Compute Ops Management with Compute Copilot &HPE OpsRamp Software integration
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Hewlett Packard Enterprise closes acquisition ofJuniper Networks to offer industry-leading comprehensive, cloud-native-AI-driven portfolio -
HPE accelerates self-driving network operations with new Mist agentic AI-native innovations -
Hewlett Packard Enterprise extends innovations with new distributed services switches, expanded wired and wireless portfolio to meet AI and high-performance computing demands
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View source version on businesswire.com: https://www.businesswire.com/news/home/20251203352778/en/
Media Contacts:
ben.stricker@hpe.com
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