HPE has rolled out a super-sized package of hardware and software aimed at helping enterprise customers build and manage large AI infrastructures from the data center to the edge. At its Discover event in Las Vegas this week, the vendor announced the HPE Juniper Networking QFX5140 switch, a 1RU fixed-configuration data center switch designed for AI fabric, spine, leaf, and border leaf deployments. The switch supports 24× 400G QSFP112, 8× 800G OSFP800, and 2x SFP28 ports, along with RDMA over Converged Ethernet (RoCEv2) and congestion management features like Priority Flow Control and Explicit Congestion Notification, enabling effective GPU-to-GPU communications.
HPE also introduced the QFX5252 module for its 72GPU-per-rack AMD Helios turnkey package, which combines CPUs, GPUs, and open Ethernet networking into a unified high-end AI platform. The QFX family is part of a significant move to tighten integration between Juniper networking gear and HPE AI infrastructure. The company's data center management platform, Data Center Director, now includes the QFX switch portfolio to offer customers a more integrated, automated, and centralized view of network components. According to HPE CTO Fidelma Russo, the goal is to improve network visibility and speed troubleshooting.
Continuing the integration theme, HPE will integrate Juniper's natural language Mist AI into HPE Aruba Central and vice versa, all fed by its core AIOps Marvis AI engine. Marvis collects telemetry and user state data from Juniper's routers, switches, access points, firewalls, and applications to detect and resolve a broad range of enterprise networking problems. The AI-based Marvis Actions component identifies and prioritizes network problem remediation, and will be extended to Aruba Central by year-end. Additionally, HPE will meld the Aruba CX switching portfolio with Mist, giving CX customers capabilities such as AI-native visibility, zero-touch provisioning, wired assurance for Layer 2 access, and service-level insights.
HPE also expanded Mist data center capabilities to include predictive analytics for proactive maintenance of network components, such as predicting potential optics failures using AI/ML. Mist now uses an advanced reasoning AI agent for high-confidence remediation, combining millions of TAC cases and a contextual graph database from HPE Networking Data Center Director to deliver precise root cause analysis inside the data center. This brings the self-driving network concept from campus to data center operations, solving problems that once took hours or days in minutes proactively.
On the security front, HPE introduced a new SASE Orchestrator package that ties together SD-WAN and SSE with cloud security and a unified policy engine using AI to manage branch, remote user, and cloud connectivity from one place. The orchestrator promises simpler operations with AI operations, faster zero-trust adoption, and better user experience through intelligent traffic steering and application awareness. Customers can set security policies once and deploy them across many sites.
HPE also tightened integration with core partner Nvidia via its HPE Private Cloud AI, a turnkey AI factory co-engineered with Nvidia. The package now supports Nvidia's Agent Toolkit software, including Nemotron open models, NemoClaw, and OpenShell secure runtime, to provide an agent operating system that reasons, monitors agent behavior, enforces policies, and reduces deployment risk. Additionally, HPE is bringing Nvidia Confidential Computing to the HPE AI Factory through HPE Services to protect models and private data during execution for on-premises or sovereign deployments.
A new release of HPE Zerto Software lets customers identify rogue agent actions and use data protection to rewind to a clean slate. The Private Cloud AI package now also supports secure local agent registration, giving customers the ability to approve AI models, skills, and tools while adhering to centralized governance and security policies. Changes to HPE Morpheus, which manages virtual machines, containers, and cloud resources across multiple environments, include a free first year of licenses for customers who own or buy HPE's VM Essentials package. This aims to help mitigate the cost of migrating from legacy platforms. Zero-interest financing for HPE cloud ops software over three years further supports customer migration.
Industry analysts highlighted the momentum behind HPE's acquisition strategy to leverage the Mist platform and expand Marvis as the AI engine across the portfolio. Mike Leibovitz of Gartner noted that Agentic NetOps is the most exciting area of innovation in enterprise networking in more than 20 years, and HPE is well aligned with Marvis as the AI engine across its portfolio. Most enterprises are starting this journey with existing infrastructure vendors like HPE, Cisco, or Arista, but the space is moving quickly and leadership is still up for grabs. These announcements underscore HPE's commitment to providing a solid architectural foundation for AI, where network performance, reliability, and intelligence determine the effectiveness of the entire AI architecture, enabling enterprises to deploy agentic AI with greater control, confidence, security, and operational simplicity.
Source: Network World News