Hewlett Packard Enterprise (NYSE: HPE) today unveiled major innovations to its HPE Juniper Networking portfolio, advancing the AI-native Mist platform with new agentic AI capabilities that make IT operations more autonomous, intelligent, and proactive. The upgrades include agentic AI-powered troubleshooting, expanded self-driving actions, a generalized Large Experience Model (LEM), and new AIOps features for data centers—all designed to reduce IT complexity and deliver exceptional user experiences across distributed environments.
These capabilities extend GreenLake Intelligence, HPE’s next-gen approach to autonomous IT, where specialized AI agents work across networking, compute, and storage to enable real-time problem solving, predictive optimization, and smarter decision-making.
“Today’s networks must do more than connect—they must understand, adapt and act,” said Rami Rahim, EVP, president and general manager, HPE Networking. “With these new digital experience twin and agentic AI capabilities in Juniper Mist, we continue to turn the network into a proactive partner for IT—capable of solving problems before they impact users. This is a major leap toward truly self-driving operations.”
Key Innovations in Juniper Mist
- Conversational Troubleshooting: The Marvis AI assistant now leverages an agentic AI framework to provide real-time, domain-aware troubleshooting across wired, wireless, WAN, client, and application domains.
- Expanded Self-Driving Actions: The Marvis Actions dashboard supports more autonomous remediation—including port misconfigurations, capacity constraints, and hardware compliance—while maintaining full IT visibility.
- Generalized Large Experience Model (LEM): Unique to HPE Juniper Networking, LEM processes billions of data points from apps like Zoom and Teams, predicting and optimizing future experiences via Marvis Minis, which simulate user behavior without needing real-time app data.
- AI for Data Centers: Marvis AI integrates with Apstra’s contextual graph database to deliver intelligent insights and prepare for autonomous service provisioning, while Marvis Minis extend into the data center for continuous service validation.
From Reactive IT to Proactive Autonomy
HPE Juniper Networking has pioneered AI in network operations for more than a decade. The Mist platform’s Marvis AI engine already analyzes telemetry across domains and automates workflows that simplify management, reduce costs, and ensure consistent experiences. With the new agentic AI enhancements, IT teams can move from reactive firefighting to predictive intervention, resolving issues before users notice.
Full-Stack Integration with OpsRamp
These networking advances align with HPE OpsRamp, an AIOps-powered IT operations management platform that provides full-stack observability and agentic workflows across hybrid, multi-cloud, and on-premises environments. Together, they strengthen HPE’s vision of an integrated, autonomous IT ecosystem spanning networking, compute, storage, virtualization, and applications.
“Networks are more distributed and complex than ever, yet 93% of organizations say they’re critical to business success,” said Bob Laliberte, principal analyst, theCUBE Research. “With its latest advances in agentic AI and GenAI, powered by Marvis, HPE is delivering real autonomous capabilities that let IT resolve issues before they impact users.”
Why It Matters
As enterprises scale cloud-native and AI-driven applications, IT teams face mounting complexity. By embedding agentic AI, LEM, and self-driving automation into Juniper Mist, HPE is helping enterprises, cloud providers, and telcos achieve:
- Simplified operations with reduced manual intervention.
- Proactive optimization that predicts and prevents service disruptions.
- Exceptional user experiences from client to cloud.
These enhancements underscore HPE’s leadership in AI-driven networking and mark another step toward realizing the vision of truly self-driving IT operations.
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