At HPE Discover Barcelona 2025, Hewlett Packard Enterprise (HPE) showcased a sweeping expansion of its AI-native networking portfolio, cementing its ambition to deliver self-driving infrastructure across data centers, the edge, and hybrid clouds. The announcements mark a significant milestone in HPE’s Juniper Networks integration, just five months after the acquisition closed, and highlight a vision where networks themselves become AI-optimized engines powering the next generation of compute-intensive workloads.
The portfolio updates aim to simplify hybrid IT operations, accelerate AI deployment, and provide the high-speed, low-latency connectivity required for modern GPU-driven training and inference workloads. With agentic AI baked into HPE Aruba Networking and HPE Juniper Networking Mist, the company promises autonomous, self-healing networks that can adapt in real time to security, performance, and application demands.
AI-Driven Networking Across Aruba and Juniper
HPE’s integration strategy focuses on unifying operations and AI-driven insights across its networking brands:
- HPE Juniper Networking Mist Large Experience Model (LEM), previously limited to Juniper environments, is now available in HPE Aruba Networking Central. It leverages billions of real-world data points from apps like Zoom and Teams, augmented with synthetic data from digital twins, to predict, detect, and remediate performance issues proactively.
- Agentic Mesh technology from Aruba is extended to Juniper Mist, providing advanced anomaly detection, root-cause analysis, and autonomous or assistive remediation actions.
- Global network operations center (NOC) views from Aruba Networking Central are being adopted across Mist for a consistent operational experience.
- New WiFi-7 access points support both Aruba and Juniper management platforms, ensuring investment protection for organizations upgrading wireless infrastructure.
- Aruba Networking Central On-Premises 3.0 integrates generative and traditional AIOps capabilities for intelligent client insights, proactive remediation, and simplified documentation search in a secure, on-premises environment.
According to Rami Rahim, EVP and GM of Networking at HPE, “In the era of AI, customers need networks purpose-built for AI. By delivering autonomous, high-performing networks, HPE is poised to disrupt the networking industry while providing robust, secure connectivity across all environments.”
High-Performance Switching and Routing for AI Workloads
The expansion addresses a critical bottleneck for AI infrastructure: high-speed, low-latency networking for large-scale GPU clusters.
- HPE Juniper QFX5250 switch: Built on Broadcom Tomahawk 6 silicon, this Ultra Ethernet Transport-ready switch delivers 102.4Tbps bandwidth for GPU-to-GPU interconnect. Combined with HPE’s liquid cooling and AIOps intelligence, it promises power-efficient, high-performance AI infrastructure for data centers.
- HPE Juniper MX301 multiservice edge router: A compact 1RU platform delivering 1.6Tbps throughput and 400G connectivity, designed to bring AI inferencing closer to data sources while supporting multiservice, metro, mobile backhaul, and enterprise routing scenarios.
These solutions complement HPE’s push to extend AI factory networks, enabling low-latency, high-scale connectivity across clouds and clusters. Integrations with NVIDIA Spectrum-X Ethernet networking and BlueField-3 DPUs, along with AMD’s Helios AI rack-scale architecture, promise trillion-parameter AI training and inference with industry-first scale-up Ethernet networking.
Advancing AIOps and Hybrid IT Management
HPE’s announcements also extend to software and operational intelligence, integrating OpsRamp, GreenLake Intelligence, and compute telemetry to create full-stack observability:
- Integration of Apstra Data Center Director with OpsRamp enables predictive assurance, real-time monitoring, and proactive remediation across compute, storage, networking, and cloud.
- Compute Ops Management and Compute Copilot provide centralized visibility, automated root-cause analysis, and simplified operator workflows.
- Agentic Root Causing & Model Context Protocol (MCP) support allows third-party AI agents to plug in seamlessly for no-code hybrid automation.
- GreenLake Intelligence enhancements deliver guided actions and agentic analytics for sustainability, wellness dashboards, and IT operations.
HPE positions this as a hybrid command center for AI-enabled IT, where autonomous networks and human operators can collaborate to detect, diagnose, and remediate issues faster than ever.
Financing Incentives to Accelerate Adoption
HPE Financial Services is offering 0% financing for AI-native networking software, including HPE Juniper Networking Mist. A special leasing program delivers the equivalent of 10% cash savings for organizations modernizing legacy networking or deploying AI workloads, making high-performance AI-ready networks more accessible.
Why This Matters
As enterprises adopt GPU-heavy AI workloads, edge inferencing, and multi-cloud architectures, networking is no longer a supporting player—it’s central to performance, reliability, and cost-efficiency. HPE’s strategy of combining self-driving AI operations, hardware integration, and financing flexibility positions it to compete across three dimensions:
- Data center scale: High-throughput switches and routers supporting AI clusters.
- Hybrid IT operations: Unified AIOps and telemetry for proactive, agentic network management.
- Edge inferencing: Compact routers for low-latency AI deployment closer to data sources.
The integration of Aruba and Juniper, along with partnerships with NVIDIA and AMD, highlights HPE’s ecosystem-first approach, positioning the company as a one-stop provider for AI infrastructure that spans cloud, on-prem, and edge environments.
