HPE Discover 2025: Agentic AI and Infrastructure Evolution for Developers
As HPE celebrates its 10th anniversary as a standalone company, the tech giant is positioning itself at the forefront of what it calls the "AI-native era." At HPE Discover 2025, the company unveiled a comprehensive suite of innovations that promise to fundamentally change how developers, engineers, and architects approach hybrid cloud infrastructure, AI development, and enterprise operations.
The Dawn of Agentic AI Infrastructure
The headline announcement centers on GreenLake Intelligence, HPE's new agentic AI framework that transforms traditional IT operations from reactive to proactive and autonomous. Unlike conventional AI tools that merely provide recommendations, agentic AI can actually execute actions, analyze results, and iterate on solutions—all while maintaining human oversight.
For developers, this represents a paradigm shift. Instead of manually troubleshooting infrastructure issues or writing complex monitoring scripts, GreenLake Intelligence deploys specialized AI agents that can:
- Automatically diagnose and resolve network issues across hybrid environments
- Optimize workload performance by intelligently redistributing resources
- Predict and prevent failures before they impact applications
- Generate contextual insights from the 20 trillion metrics HPE collects globally
Varma Kunaparaju, former CEO of OpsRamp (now part of HPE), emphasized during the briefing: "Our design with GreenLake Intelligence is to help customers fix issues faster, prevent failures earlier, shift focus to innovation and ultimately deliver business outcomes."
Smart Networking That Thinks for Itself
Perhaps nowhere is the power of agentic AI more evident than in HPE Aruba Networking Central's new capabilities. The system demonstrates autonomous problem-solving that would typically require hours of human analysis.
Consider this real-world scenario: When wireless clients experience authentication failures while roaming between access points, the traditional approach requires network administrators to manually investigate alerts, correlate data, and implement fixes. With agentic AI, the system:
- Automatically performs blast radius analysis to understand the scope of impact
- Identifies root causes by correlating device compatibility with network features
- Proposes specific remediation steps with detailed pros and cons analysis
- Provides actionable recommendations that can be implemented immediately or scheduled
David Hughes, Chief Technology Officer at HPE Aruba Networking, noted that this technology works "like having a teammate that can work while you're asleep, work on problems, and when you arrive in the morning, have those proposed answers there."
Unified Cloud Operations with CloudOps Software Suite
For developers managing complex hybrid environments, HPE introduced the CloudOps Software suite, which unifies three critical capabilities:
- HPE Morpheus Enterprise Software for workload orchestration and management
- HPE OpsRamp Software for comprehensive observability and monitoring
- HPE Zerto Software for data protection and disaster recovery
This unified approach addresses a common pain point for development teams: the complexity of managing disparate tools across hybrid cloud environments. The suite provides a single control plane for orchestrating applications, monitoring performance, and ensuring data resilience across on-premises, edge, and public cloud infrastructure.
AI Factories: From Concept to Production
HPE's expanded AI factory portfolio addresses the full spectrum of AI development needs. For developers and engineering teams, several offerings stand out:
Enterprise-Ready AI with Private Cloud AI
The next-generation Private Cloud AI introduces several developer-friendly features:
- Federated architecture that allows GPU resource pooling across multiple generations of hardware
- Multi-tenancy capabilities with GPU quotas and role-based access control
- Air-gapped deployment options for sensitive development environments
- Integration with NVIDIA AI Blueprints for rapid AI application development
Storage That Understands AI Workloads
The HPE Alletra Storage MP X10000 represents a significant advancement for AI-intensive applications. By integrating Model Context Protocol (MCP) servers, the storage system can:
- Communicate directly with AI agents to optimize data pipelines
- Provide intelligent metadata enrichment for unstructured data
- Enable conversational data access through natural language interfaces
- Accelerate AI training and inference workflows
As Sherry Williams, SVP and GM of Private Cloud & Flex Solutions, explained: "This is how you can now talk to your data with HPE Alletra using an agentic co-pilot in real time."
Developer Ecosystem and Partnership Expansions
HPE significantly expanded its developer ecosystem through several key partnerships:
Enhanced Data Protection Integration
The strengthened partnerships with Commvault and Veeam provide developers with robust data protection options:
- Veeam integration with HPE Morpheus VM Essentials for comprehensive backup and recovery
- Commvault offering HPE Zerto Software to extend disaster recovery capabilities
- Native backup support for virtualized development environments
Expanded AI Use Case Library
Through the Unleash AI program, HPE now supports over 75 AI use cases with 26 new partners, including:
- Rapid application development tools for faster prototyping
- Scalable data science workflows for ML/AI projects
- Advanced model development platforms
- Enterprise-grade AI frameworks for production deployments
Real-World Developer Impact
The practical implications for development teams are substantial. Traditional infrastructure management often consumes 30-40% of IT resources on routine maintenance and troubleshooting. With agentic AI handling these tasks autonomously, development teams can redirect focus toward innovation and feature development.
The zero-percent financing program for CloudOps software and new assessment tools like CloudPhysics Plus lower barriers to adoption, making it easier for organizations to modernize their development infrastructure without significant upfront investment.
Looking Ahead: The Infrastructure Evolution
HPE's vision extends beyond current capabilities. The integration of agentic AI across compute, storage, and networking creates an intelligent infrastructure layer that adapts to application needs in real-time. For developers, this means:
- Infrastructure that self-optimizes based on application behavior
- Predictive scaling that anticipates demand patterns
- Automated security posture management across hybrid environments
- Intelligent resource allocation that maximizes performance while minimizing costs
The Bottom Line for Developers
HPE Discover 2025 signals a fundamental shift toward infrastructure that actively participates in the development lifecycle rather than simply hosting applications. The combination of agentic AI, unified management platforms, and AI-ready storage creates an environment where developers can focus on building innovative solutions rather than managing underlying infrastructure complexity.
As Antonio Neri, HPE's President and CEO, noted during the briefing: "HPE is reimagining hybrid IT as only we can do, catapulting organizations from the era of hybrid complexity to the era of agentic-AI-powered cloud operations."
For development teams, this represents an opportunity to fundamentally rethink how they approach infrastructure, moving from reactive management to proactive optimization powered by intelligent automation.