- Hewlett Packard Enterprise (HPE, Financial) introduces GreenLake Intelligence, a cutting-edge agentic AI-powered hybrid cloud framework.
- New features include enhanced networking, storage, and cost management through AI-driven automation and analytics.
- GreenLake Intelligence aims to simplify and optimize hybrid IT operations, overcoming the complexities of legacy infrastructure.
Hewlett Packard Enterprise (HPE) announced a groundbreaking advancement in hybrid IT operations with the unveiling of GreenLake Intelligence. This innovative agentic AI framework is designed to transform the traditional hybrid cloud model by integrating agentic AIOps across various infrastructure layers, enabling real-time learning, action, and optimization.
The company has enhanced its technology stack by introducing new agents for networking, observability, cloud costs, sustainability, and workload optimization. This comprehensive approach aims to break down siloed workflows and reduce the burden on IT teams while increasing operational efficiency.
Among the significant developments, the HPE Aruba Networking Central now features an agentic mesh system that autonomously analyzes network and security conditions, offering precise analysis and actionable remediation. Furthermore, the HPE Alletra Storage MP X10000 has been previewed with support for Model Context Protocol (MCP) servers, showcasing agentic-AI powered storage capabilities.
HPE also highlighted its CloudOps Software, which facilitates a streamlined approach to unified hybrid cloud operations, providing automation, orchestration, and governance across diverse multivendor and multicloud environments. This suite simplifies cloud operation management and is part of HPE’s commitment to advancing hybrid IT modernization.
Available in phases beginning in the third quarter of 2025, GreenLake Intelligence and its associated technologies represent a significant leap towards achieving optimal hybrid IT simplicity and performance. These enhancements empower organizations to overcome legacy challenges and realize transformative operational efficiencies.
