GreenLake Intelligence: HPE’s vision for AI-driven IT operations
Modern IT environments are complex and demanding. GreenLake Intelligence helps tackle common IT challenges
- HPE is redefining the future of IT operations with GreenLake Intelligence
- GreenLake Intelligence delivers a proactive, intelligent, and unified approach to IT operations
GreenLake Intelligence: HPE’s Vision for AI-Driven IT Operations
At HPE, we’re redefining the future of IT operations with GreenLake Intelligence, a groundbreaking framework that harnesses the power of AI to transform how enterprises manage their hybrid IT environments. By enabling AI agents to collaborate, learn, adapt, and act with context across clouds, domains, tools, and tasks, GreenLake Intelligence delivers a proactive, intelligent, and unified approach to IT operations.
What is GreenLake Intelligence?
GreenLake Intelligence is a framework of AI agents capable of learning and acting with insight with an operator to prevent IT issues before they disrupt operations. Powered by domain-specific large language models (LLMs) trained on HPE’s extensive telemetry, logs, configurations, and support data, this system combines shared context, real-time reasoning, and automated execution to deliver intelligent operations at scale. This is done across networking, servers, storage, and software – for multiple vendors, not just HPE.
At HPE, we’re redefining the future of IT operations with GreenLake Intelligence, a groundbreaking framework that harnesses the power of AI to transform how enterprises manage their hybrid IT environments.
Together, the agents form an agentic mesh leveraging the Model Context Protocol (MCP) to allow agents to communicate with each other. This gives AI agents seamless and secure access to devices, workloads and services needed to have sufficient context for decision making and action. This results in a unified AI platform that makes GreenLake a platform that thinks, learns, and acts to optimize enterprise infrastructure.
GreenLake Intelligence: How it works
- Agentic AI with Contextual Autonomy
We are building Greenlake agents with the situational awareness they need to make intelligent decisions based on real-time infrastructure metrics and business logic. Whether you’re attempting to retrieve data from an HPE Alletra Storage MP X10000 storage array or provision a Kubernetes cluster for a mission-critical application, or understand the experience of a user on Wi-Fi, the agents orchestrate to deliver on the task requested. - Inter-Agent Communication
MCP standardizes the language of collaboration between distributed agents. For example, a model detecting anomalous behavior in financial data can request enhanced resources from another agent responsible for dynamic workload orchestration—creating an emergent system of shared intelligence. - Infrastructure-Aware Models
With GreenLake infrastructure exposed via MCP, AI agents can proactively request compute, storage, or network resources and adjust based on resource availability. This reduces cost, optimizes performance, and ensures SLA alignment.
Example IT Operations Agentic Workflow
Let's see a quick example of agents working together to deliver a desired outcome through a typical agentic workflow.
Example:
IT Operator makes a request through their GreenLake intelligence chatbot prompt to Provision 20 VMs each with 2 vCPUs attached to 2T of storage on VLAN1.
For more detailed examples, please read the whitepaper highlighted in the bottom of this blog.
Why it Matters
Modern IT environments are complex and demanding. GreenLake Intelligence helps tackle common IT challenges:
- Limited IT organizations: Complex hybrid environments strain operational teams. AI agents monitor and manage cross-domain business problems like cost and security, freeing teams to focus on innovation.
- Complex environments: With multiple generations of technology installed in an organization, and multiple suppliers of hardware and software, keeping a unified picture of resource consumption, user experience, or even end-to-end status, is challenging, and drives up operational costs.
- Ineffective Root Cause Analysis: Fragmented tools slow down issue resolution. GreenLake Intelligence’s AI agents detect, analyze, and assist the operator to resolve problems across domains in real time.
- Resource Utilization: Idle assets and inefficiencies drain resources. GreenLake Intelligence identifies and optimizes cost, performance, and sustainability automatically.
Conversational Interaction with GreenLake Copilot
Users interact with GreenLake Intelligence through a generative AI conversational interface called GreenLake Copilot. Entering clear commands where intelligent assistants understand intent and coordinate behind the scenes, GreenLake Copilot translates these interactions into real-time actions, delivering clear, contextual, and personalized responses aligned with your IT operations goals.
How Is This Different from Traditional IT Operations?
Traditional IT operations management (ITOM) is often manual, reactive, and tool-centric, relying on dashboards, tickets, and human-driven processes. GreenLake Intelligence, by contrast, is autonomous, proactive, and goal-driven. Here’s how it compares:
GreenLake Intelligence goes beyond ITOM by enabling AI agents to observe, reason, and act in real time, delivering actionable recommendations or automated resolutions with your permission.
The Power of AI Agents
HPE is developing a wide range of AI agents spanning infrastructure (e.g., storage, networking, VMs), operations (e.g., cost, observability, sustainability), and business services (e.g., ticketing, reporting). These agents collaborate within the agentic mesh, sharing context and correlating anomalies to deliver deep, cross-domain insights.
For example, a performance issue in a business application might stem from a storage bottleneck caused by a misrouted network path. GreenLake Intelligence can trace this chain of events in seconds, identifying the root cause and resolving it before it impacts your business. This transforms IT operations from reactive firefighting to proactive, intelligent optimization.
Ecosystem and Partner Opportunities
GreenLake Intelligence has the potential to extend to HPE’s ecosystem, integrating with partners like CrowdStrike, ServiceNow, and Commvault to enhance security, operations, and data protection. For channel partners, it unlocks high-margin services, enabling them to deliver proactive optimization and build custom agents or copilots, transforming infrastructure management into outcome orchestration.
The Future of IT Operations
At HPE, we’re helping customers move beyond isolated AI deployments to create living systems of intelligence—where autonomous agents, empowered by the Model Context Protocol, collaborate with human experts to operate efficiently across a GreenLake-powered hybrid cloud.
This human-agent collaboration unlocks a new form of enterprise-wide collective intelligence, where distributed teams of people and AI work together to accelerate innovation, reduce risk, and adapt to change faster than ever before.
At HPE, we believe that the future of collective intelligence isn’t artificial or autonomous—it’s augmented. And it’s here now, powered by GreenLake.
Now let’s build it together.
For additional information
- Read the whitepaper: GreenLake Intelligence: The agentic AI architecture for autonomous hybrid cloud operations
- Visit the GreenLake Intelligence page: Click here