Hewlett Packard Enterprise (HPE) has unveiled a bold new vision for hybrid IT operations by introducing GreenLake Intelligence, an agentic AI framework that simplifies and automates operations across hybrid cloud environments. This initiative transforms HPE GreenLake into an agentic-AI-powered hybrid cloud, aiming to eliminate complexity and technical debt that hinder enterprise innovation.

Through agentic AIOps — AI agents that reason in real-time — HPE promises unified management across infrastructure layers such as storage, networking, compute, and sustainability. GreenLake Intelligence is accessible via GreenLake Copilot, offering intelligent automation and contextual decision-making.
Antonio Neri, President and CEO of HPE, said: “HPE’s vision for hybrid IT is fueled by agentic intelligence at every layer of infrastructure, so enterprises can realize their boldest ambitions and achieve previously impossible levels of IT operations performance and efficiency.”
Key updates include:
HPE Aruba Networking now features agentic mesh and a conversational networking copilot for advanced network issue analysis and remediation.
OpsRamp Software expands with an agentic operations copilot for full-stack IT automation, incorporating incident management, capacity planning, and human-in-the-loop AI oversight.
HPE Alletra Storage MP X10000 integrates agentic AI and introduces Model Context Protocol (MCP) servers, enabling natural-language-driven data management and orchestration.
With this transformation, HPE positions itself to lead the shift to an AI-native era, promising significant gains in IT performance, efficiency, and agility.
Benefits of HPE’s new GreenLake Intelligence and related offerings:
Simplified Hybrid IT Operations
Agentic AI-driven AIOps automate routine tasks and reduce complexity across the hybrid cloud infrastructure.
Unified visibility and control across storage, networking, compute, and virtualized resources.
Faster Problem Resolution
Real-time root-cause analysis and guided remediation through conversational AI agents (e.g., Aruba Networking Copilot).
Reduced troubleshooting time for complex IT and network issues.
Improved Resource Utilization
Automated workload placement and capacity optimization help prevent underutilization and reduce wastage.
Consumption analytics offer spend alerts and actionable cost-saving recommendations.
Enhanced Sustainability and FinOps
Predictive sustainability forecasting tools help track and reduce carbon footprint.
Integrated FinOps tools support chargebacks, cost reporting, and infrastructure rightsizing.
Increased Agility for AI Workloads
AI-powered storage (Alletra MP X10000) with built-in Model Context Protocol (MCP) servers enables intelligent data orchestration for AI workflows.
Seamless data flow across internal and external AI agents.
Accelerated CloudOps Adoption
HPE CloudOps software suite offers orchestration, governance, and protection across multicloud environments.
Available as a service for ease of use and fast deployment.
Flexible Financing and Purchasing Models
0 percent financing for up to 3 years for key CloudOps tools (OpsRamp, Morpheus, Zerto).
New Cloud Commit program gives predictable long-term costs and value-added services.
No-payment periods and up to 10 percent savings on Alletra Storage purchases.
Comprehensive IT Modernization Tools
CloudPhysics Plus provides intelligent workload assessments across virtual, physical, and cloud-native environments.
Helps plan modernization strategies with data-driven insights and partner support.
HPE expands NVIDIA AI Computing
HPE has also announced new solutions to accelerate the development and deployment of AI factories across the full AI lifecycle. In partnership with NVIDIA, HPE is expanding its NVIDIA AI Computing by HPE portfolio with solutions powered by NVIDIA Blackwell GPUs. These include optimized, composable systems for enterprises, service providers, and sovereign entities, along with the next generation of HPE Private Cloud AI, a turnkey AI infrastructure.
The updated Private Cloud AI offering features advanced compute with HPE ProLiant Gen12 servers, secure AI-ready infrastructure, scalability across GPU generations, air-gapped data privacy controls, and support for multi-team collaboration. It also includes access to NVIDIA AI Blueprints and a global “try and buy” program via Equinix data centers.
Additionally, HPE introduced new validated AI factory solutions built on its liquid cooling expertise and HPE Morpheus software, delivering integrated, modular, full-stack AI systems that reduce complexity and accelerate time to value. Together, HPE and NVIDIA aim to enable enterprises to harness data and AI at scale, driving innovation and sustainable business outcomes.
Rajani Baburajan