The company introduces GreenLake Intelligence, a new vision for unified hybrid IT that is autonomous and powered by conversational AI and automated operations.
At the HPE Discover Las Vegas 2025 event, Hewlett Packard Enterprise (HPE) has unveiled its most ambitious commitment to date to transform hybrid operations through agentic artificial intelligence. With the launch of GreenLake Intelligence, the company proposes a new paradigm for managing hybrid infrastructures, merging automation, contextual reasoning, and sustainability into a platform designed to simplify the complex.
According to Antonio Neri, HPE’s President and CEO, “the era of hybrid complexity is behind us. Our vision with GreenLake Intelligence is to empower every layer of infrastructure with agentic intelligence to unlock the operational potential of organizations.”
A hybrid cloud with conversational AI at every layer
The core of HPE’s proposal is a hybrid cloud operating model reinforced by agentic AIOps: an advanced form of AI that can reason, communicate, and act autonomously in real-time. Accessible through GreenLake Copilot, the system deploys intelligent agents that oversee and optimize storage, networking, computing, virtualization, costs, sustainability, and business services.
This approach seeks to tackle common challenges such as manual workflows, bottlenecks in error diagnosis, underutilized infrastructures, and the overload of IT teams.
HPE Aruba Networking: networks that explain themselves
One of the pillars of the new framework is HPE Aruba Networking Central, which integrates a mesh of specialized agents and a conversational copilot capable of analyzing root causes, proposing solutions, and executing actions in network and security systems. This capability is based on AI models specifically trained for enterprise network scenarios, with a “security-first” approach.
OpsRamp and Alletra Storage: operational AI and storage with MCP protocol
HPE has also enhanced its OpsRamp suite, which now acts as an agentic operational copilot. Key features include AI/ML-based alerts, conversational event analysis, explainability, and capacity planning.
Meanwhile, HPE Alletra Storage MP X10000 has been optimized for compatibility with Model Context Protocol (MCP), a key component in modern AI architectures. This enables administrators and developers to control operations using natural language, integrating metadata and unstructured flows into AI processes.
Optimization of workloads, sustainability, and costs
HPE focuses not only on automation but also on efficient and sustainable management. New tools included in GreenLake Intelligence feature:
- Workload and capacity optimizer: unifies the management of workloads, hardware resources, and sustainability goals.
- Consumption analysis and FinOps: proactive alerts, FOCUS exports, and recommendations for cost optimization.
- HPE Sustainability Insight Center: now with sustainability forecasting and a managed provider mode, featuring customized carbon footprint metrics.
CloudOps Software and flexible financing
To facilitate the transition to this operational model, HPE is launching CloudOps Software, a suite that combines OpsRamp, Morpheus, and Zerto, enabling automation, resilience, and data protection in multicloud and multi-vendor environments.
Additionally, HPE Financial Services supports the deployment with new 0% financing options and deferred payment programs for software and storage.
Availability and roadmap
- GreenLake Copilot (beta): available in Q3 2025.
- Aruba Networking Central with agentic mesh: Q3 2025.
- Alletra Storage MP X10000 with MCP: second half of 2025.
- Enhanced OpsRamp, CloudPhysics Plus, and CloudOps Software: Q4 2025.
A future governed by trusted AI
HPE’s vision aligns with the emerging trend toward autonomous and intelligent systems that manage the growing complexity of modern infrastructure. With GreenLake Intelligence, the company not only automates but also offers explainability, sustainability, and sovereign control over digital operations.
For many organizations, this leap represents the path to a truly unified hybrid cloud, managed by artificial intelligence and focused on performance, governance, and environmental responsibility.