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HPE Expands Self-Driving Networks

HPE 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.

New innovations introduced 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,” 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.”

The 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 Juniper Networking QFX5140 Switch: designed for inference clusters and edge AI use cases, delivering the performance and scalability required for the rapidly growing inference market, instrumental in driving HPE AI Data Center Solution to the edge.
  • HPE Juniper Networking QFX5252 Switch tray for AMD Helios: scale-up module for AMD Helios AI rack-scale platform, delivering the low-latency, high-bandwidth switching required to maximize AI infrastructure performance at scale.

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.

HPE 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:

  • Integration of the HPE Networking CX switching portfolio with HPE Mist, giving HPE Networking CX customers flexibility in Agentic AIOps platform while introducing advanced wired capabilities such as AI-native visibility, zero-touch provisioning, wired assurance for layer 2 access, dynamic PCAP, service-level insights, and HPE Marvis AI-driven actions.
  • Availability of HPE Marvis AI-powered self-driving capabilities for HPE Aruba Central, including trusted actions such as wired port remediation to further extend autonomous operations across the HPE networking portfolio.

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:

  • Proactive maintenance using predictive analytics: AI and machine learning (AI/ML) are used to predict system and optics failures with a high-confidence level, well before they occur, with intelligent multidimensional visualization to prevent network outages and deliver higher application resiliency.
  • Advanced reasoning agent for high-confidence remediation: Agentic AI is used to continuously and autonomously reason across diverse data streams, including millions of TAC cases and a contextual graph database from HPE Networking Data Center Director, to deliver precise root cause analysis (RCA) and actionable remediation in the data center network.

Building 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:

  • HPE Mist Networking Data Center Assurance is now integrated with HPE Compute Ops Management, reducing tool sprawl, delivering cross-domain visibility and insights, and enabling efficient scaling with existing teams.
  • HPE Mist Networking Data Center Assurance is now integrated into GreenLake to deliver a unified cross-domain user experience with streamlined operations that simplify IT infrastructure management.

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HPE Expands Self-Driving Networks

HPE 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.

New innovations introduced 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,” 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.”

The 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 Juniper Networking QFX5140 Switch: designed for inference clusters and edge AI use cases, delivering the performance and scalability required for the rapidly growing inference market, instrumental in driving HPE AI Data Center Solution to the edge.
  • HPE Juniper Networking QFX5252 Switch tray for AMD Helios: scale-up module for AMD Helios AI rack-scale platform, delivering the low-latency, high-bandwidth switching required to maximize AI infrastructure performance at scale.

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.

HPE 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:

  • Integration of the HPE Networking CX switching portfolio with HPE Mist, giving HPE Networking CX customers flexibility in Agentic AIOps platform while introducing advanced wired capabilities such as AI-native visibility, zero-touch provisioning, wired assurance for layer 2 access, dynamic PCAP, service-level insights, and HPE Marvis AI-driven actions.
  • Availability of HPE Marvis AI-powered self-driving capabilities for HPE Aruba Central, including trusted actions such as wired port remediation to further extend autonomous operations across the HPE networking portfolio.

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:

  • Proactive maintenance using predictive analytics: AI and machine learning (AI/ML) are used to predict system and optics failures with a high-confidence level, well before they occur, with intelligent multidimensional visualization to prevent network outages and deliver higher application resiliency.
  • Advanced reasoning agent for high-confidence remediation: Agentic AI is used to continuously and autonomously reason across diverse data streams, including millions of TAC cases and a contextual graph database from HPE Networking Data Center Director, to deliver precise root cause analysis (RCA) and actionable remediation in the data center network.

Building 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:

  • HPE Mist Networking Data Center Assurance is now integrated with HPE Compute Ops Management, reducing tool sprawl, delivering cross-domain visibility and insights, and enabling efficient scaling with existing teams.
  • HPE Mist Networking Data Center Assurance is now integrated into GreenLake to deliver a unified cross-domain user experience with streamlined operations that simplify IT infrastructure management.

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The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...