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HPE Expands AIOps Network Management Capabilities

Hewlett Packard Enterprise (HPE) announced the expansion of its AIOps network management capabilities by integrating multiple generative AI (GenAI) Large Language Models (LLMs) within HPE Aruba Networking Central, HPE’s cloud-native network management solution, hosted on the HPE GreenLake Cloud Platform.

HPE Aruba Networking Central’s new self-contained set of LLM models was designed with innovative pre-processing and guardrails to improve user experience and operational efficiency, with a focus on search response times, accuracy, and data privacy. With one of the largest data lakes in the industry, HPE Aruba Networking has collected telemetry from nearly four million network-managed devices and more than one billion unique customer endpoints, which power HPE Aruba Networking Central’s machine learning (ML) models for predictive analytics and recommendations. The new GenAI LLM functionality will be incorporated into HPE Aruba Networking Central’s AI Search feature, complementing existing ML-based AI throughout HPE Networking Central to provide deeper insights, better analytics, and more proactive capabilities.

“Modern networking customers demand security-first, AI-powered insights into their critical infrastructure, and that’s what we’re delivering,” said David Hughes, chief product officer, HPE Aruba Networking. “HPE continues its strong history of AI innovation with this bold move and HPE Aruba Networking Central’s new approach of deploying multiple LLM models to embrace the capabilities of GenAI.”

HPE Aruba Networking continues its commitment to leveraging AI safely with a security-first approach to Personal & Customer Identifiable Information (PII/CII), as the LLM’s are “sandboxed” within HPE Aruba Networking Central, running on the HPE GreenLake Cloud Platform. HPE Aruba Networking Central also ensures customer data security with proprietary, purpose-built LLMs which remove PII/CII data and improve search accuracy, all while delivering sub-second response to network operations questions.

As part of its expanded capabilities, HPE Aruba Networking Central’s training sets for the GenAI models are up to ten times larger than other cloud-based platforms and include tens of thousands of HPE Aruba Networking-sourced documents in the public domain, as well as more than three million questions that have been captured from the customer base over many years of operations.

Since its introduction in 2014, HPE Aruba Networking Central has delivered powerful capabilities to configure, manage, monitor and troubleshoot networks across wired and wireless LAN, WAN and IoT, integrating functions throughout the lifecycle of network operations. HPE Aruba Networking Central is a SaaS offering that is primarily sold as an annual subscription with a two-tier licensing model (Foundation and Advanced). The new GenAI LLM-based search engine will be available in HPE’s FY24 Q2 and is included with all tiers of licensing. In addition to being a standalone SaaS offering, HPE Aruba Networking Central is also included as part of an HPE GreenLake for Networking (NaaS) subscription and is available through the HPE GreenLake platform.

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HPE Expands AIOps Network Management Capabilities

Hewlett Packard Enterprise (HPE) announced the expansion of its AIOps network management capabilities by integrating multiple generative AI (GenAI) Large Language Models (LLMs) within HPE Aruba Networking Central, HPE’s cloud-native network management solution, hosted on the HPE GreenLake Cloud Platform.

HPE Aruba Networking Central’s new self-contained set of LLM models was designed with innovative pre-processing and guardrails to improve user experience and operational efficiency, with a focus on search response times, accuracy, and data privacy. With one of the largest data lakes in the industry, HPE Aruba Networking has collected telemetry from nearly four million network-managed devices and more than one billion unique customer endpoints, which power HPE Aruba Networking Central’s machine learning (ML) models for predictive analytics and recommendations. The new GenAI LLM functionality will be incorporated into HPE Aruba Networking Central’s AI Search feature, complementing existing ML-based AI throughout HPE Networking Central to provide deeper insights, better analytics, and more proactive capabilities.

“Modern networking customers demand security-first, AI-powered insights into their critical infrastructure, and that’s what we’re delivering,” said David Hughes, chief product officer, HPE Aruba Networking. “HPE continues its strong history of AI innovation with this bold move and HPE Aruba Networking Central’s new approach of deploying multiple LLM models to embrace the capabilities of GenAI.”

HPE Aruba Networking continues its commitment to leveraging AI safely with a security-first approach to Personal & Customer Identifiable Information (PII/CII), as the LLM’s are “sandboxed” within HPE Aruba Networking Central, running on the HPE GreenLake Cloud Platform. HPE Aruba Networking Central also ensures customer data security with proprietary, purpose-built LLMs which remove PII/CII data and improve search accuracy, all while delivering sub-second response to network operations questions.

As part of its expanded capabilities, HPE Aruba Networking Central’s training sets for the GenAI models are up to ten times larger than other cloud-based platforms and include tens of thousands of HPE Aruba Networking-sourced documents in the public domain, as well as more than three million questions that have been captured from the customer base over many years of operations.

Since its introduction in 2014, HPE Aruba Networking Central has delivered powerful capabilities to configure, manage, monitor and troubleshoot networks across wired and wireless LAN, WAN and IoT, integrating functions throughout the lifecycle of network operations. HPE Aruba Networking Central is a SaaS offering that is primarily sold as an annual subscription with a two-tier licensing model (Foundation and Advanced). The new GenAI LLM-based search engine will be available in HPE’s FY24 Q2 and is included with all tiers of licensing. In addition to being a standalone SaaS offering, HPE Aruba Networking Central is also included as part of an HPE GreenLake for Networking (NaaS) subscription and is available through the HPE GreenLake platform.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.