The core of HPE GreenLake is the cloud operational model. HPE is responsible for the infrastructure lifecycle (provisioning, maintenance, updates, scaling), providing it as a service. The customer consumes this infrastructure to run their applications and data, managing them through the unified HPE GreenLake Central console. This shared responsibility model is key, differentiating it from pure outsourcing (Option A), a lease (Option C), or just tooling for on-premises (Option D).

The defining feature of the HPE GreenLake edge-to-cloud platform is its unified cloud experience delivered through software. HPE GreenLake Central provides a single pane of glass for managing, monitoring, automating, and governing resources regardless of location (edge, colocation, data center, public cloud). While financing (Option A) is a component, it’s an enabler, not the core unifying experience. Price parity (Option C) is not a primary platform capability, and a proprietary hypervisor (Option D) is incorrect; the platform is agnostic.

A blended consumption strategy best matches cost to usage patterns. Committed Capacity offers lower rates for predictable, baseline needs (ideal for the steady ERP system). Layering Pay-per-use for the analytics workload allows the customer to pay a small commitment for typical use but seamlessly and automatically scale (and pay for) additional resources only during unpredictable spikes, optimizing both cost-efficiency and agility. Using one model for both (A or B) is suboptimal, and mixing Capex with consumption (D) fragments the management and financial model, counter to the platform’s unified value.

This describes the core ‘as-a-Service in your data center’ or dedicated private cloud model of HPE GreenLake. The physical infrastructure is deployed at the customer’s chosen location (their data center, colo, or edge), is dedicated to them, and is managed by HPE as a service. This meets strict data sovereignty, latency, and control requirements. Option A describes a public cloud, Option C describes a shared public region choice, and Option D describes a traditional customer-managed private cloud, not the HPE GreenLake managed service.

The most direct demonstration of agile, cloud-like operations is the self-service provisioning of resources. Showing how a user can select a service from a catalog (like storage) and deploy it to a workload in minutes, without manual procurement or installation processes, tangibly illustrates the shift from traditional IT timelines to cloud speed. While billing (A), reporting (B), and monitoring (D) are important features, they do not as powerfully demonstrate the operational agility transformation.

While the platform provides the destination, the major challenge is the migration process itself. HPE GreenLake is more than infrastructure; it includes expert and automated services. Capabilities like HPE Cloud Physics for discovery and analytics, combined with professional and managed migration services, are integral offerings designed to address this exact real-world scenario. The marketplace (A), financing (B), and console (C) are supporting elements but do not directly execute the complex migration work.

This option satisfies all requirements: Speed (provisioned as-a-service in weeks), Financial Model (OpEx consumption), Control/Compliance (dedicated, on-premises deployment adhering to local policies), and Unified Management (visible and managed through the existing GreenLake Central console). Option A bypasses IT and compliance. Option B fails the speed and OpEx requirements. Option D (shared, off-premises) likely fails the compliance and control requirements of a manufacturer with sensitive simulation data.

Metering is a foundational technical capability of a consumption-based IT model. It continuously collects granular data on how much of each resource (vCPU hours, GB of storage, GB of memory) is consumed by a customer’s workloads. This data is essential for generating accurate, transparent bills for Pay-per-use services and for providing IT showback/chargeback reports, which is a core value proposition of HPE GreenLake.

The most direct and platform-integrated contribution is the sustainability monitoring within GreenLake Central. It provides data-driven insights (like kW/h usage, PUE, carbon equivalent emissions) across the customer’s hybrid estate. This visibility is the first critical step in managing and reducing environmental impact. You can’t manage what you can’t measure. While options A, C, and D may be related or available, they are either peripheral, not universally applicable, or an add-on, not a core platform capability for direct measurement and management.

The core of HPE GreenLake is the cloud operational model. HPE is responsible for the infrastructure lifecycle (provisioning, maintenance, updates, scaling), providing it as a service. The customer consumes this infrastructure to run their applications and data, managing them through the unified HPE GreenLake Central console. This shared responsibility model is key, differentiating it from pure outsourcing (Option A), a lease (Option C), or just tooling for on-premises (Option D).0