HPE GreenLake for composable compute

Compose workloads at cloud-like speed in a pay-per-use model.

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Deliver infrastructure to applications faster with consumption-based composable compute

The HPE GreenLake edge-to-cloud platform composable compute solution offers the speed and flexibility you need to compose the workloads that drive business value. Powered by HPE Synergy, the industry's first platform built from the ground up for composable infrastructure, this configuration combines compute, storage, and fabric so all resources are instantly available to run applications—you enjoy the speed, scale, and efficiencies of a cloud experience for your business. It can be delivered to your on-premises or co-located data center in as few as 14 days, and you can extract value for the transition from your existing compute assets—plus support sustainability goals—with assistance from HPE Financial Services.

Monthly billing based on actual usage

The pay-per-use model for on-premises compute assets enables you to align IT spend with actual usage. You only pay for what you use above a reserve.

Transparent, meaningful consumption data

With HPE GreenLake Central you have near-real-time visibility into your usage data, and you can set budgets, create reports, and build rules-based insights.

Grow over time

With a buffer of extra capacity to cover unexpected spikes in compute resource demand, and with HPE monitoring your consumption, we’ll be ready to quickly scale up capacity ahead of your growth.

Streamline operations with a simplified solution

The design, architecture, and installation of your compute infrastructure is managed by HPE, and you can also offload much of your day-to-day infrastructure management with optional support services from HPE.

HPE GreenLake for compute

With composable compute delivered as a cloud service on-premises, you’ll gain agility and avoid costly manual configuration and management of compute resources. The HPE GreenLake platform gives you a powerful, software-defined, composable compute infrastructure that composes physical and virtual compute, storage, and fabric pools into any configuration for any application. And it’s all done through a single interface.

  • Reduces operational complexity for traditional workloads
  • Increases operational velocity for the new breed of applications and services
  • Extensible platform enables a broad range of traditional or cloud-native applications and operational models
     
The HPE GreenLake platform for composable compute is available in three tiers—each based on a core compute stack—designed to suit different workloads.

 

 

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Compare configurations for HPE GreenLake compute

Composable

General Purpose Compute

Storage Optimized

Who is this recommended for?

Cost Optimized:
Ideal for test and development environments, secondary sites for disaster recovery, small- to medium-sized VDI and virtualization, as well as containers and hybrid and private cloud.

Balanced:
Best suited for production and business-critical applications running in medium to large environments such as Exchange and SharePoint. Good for larger private cloud, VDI, containers, and virtualization requiring a denser footprint.

Performance:
For large enterprise and mission-critical environments. While not limited to any specific workload, these could include data analytics, big data, SAP, and hybrid and private cloud solutions.

Cost Optimized:
Suitable for smaller workloads, such as ROBO, VDI and virtualization compute-focused workloads, test and development systems, data center security appliances, messaging-type collaboration applications, and HPC application test and development.

Balanced:
Flexible use server offering multi-workload capabilities. Potential uses include medium-sized hybrid and private cloud as well as larger VDI and virtualization, business processing and medium-sized data analytic engines, software-defined networks and telco workloads, data management, and financial and scientific computing workloads.

Performance:
Optimized for memory- or compute-intensive applications, HPC, data analytics, AI and machine learning, cloud and dense virtualization compute-focused workloads, virtualized server consolidation, IO intensive workloads, file and print sharing, financial and scientific computing, and scale-out data analytics engines.

Cost Optimized:
Small to mid-sized environments dependent on a blend of storage capacity and computing power. Good for software-defined storage, small- to medium-sized virtual machine solutions, backups and archiving, software-defined storage solutions, object stores, and small data analytics testing and development.

Balanced:
Suitable for medium-sized file servers, software-defined storage with increased compute and memory capabilities, object stores, dense containers, virtual machines, hybrid cloud environments, and medium-sized database and big data analytics.

Performance:
Suitable for applications requiring large storage capacities combined with increased compute power and memory for in-memory databases (e.g., SAP), virtualized databases, big data, data lakes, and data analytics.

Hardware

Configurations are based on the HPE Synergy 480 Compute Module.

HPE ProLiant DL325 with AMD Processors, HPE ProLiant DL360 with Intel Processors, or HPE Apollo 2600 with Intel Processors

HPE ProLiant DL385 with AMD Processors, HPE ProLiant DL380 with Intel Processors, or HPE Apollo 4200 with Intel Processors

What is metered

 

Usage is metered per server, core, or server on/off

 

Usage is metered per server, core, or server on/off

 

Usage is metered per server, core, or server on/off

Included services

HPE GreenLake Central

HPE GreenLake Central

 

HPE GreenLake Central

Proactive support

Proactive support features include:


Relationship management

  • Assigned account team 
  • Account support plan
  • Inventory management
  • Support planning and review
  • Support activity review
  • HPE support center
  • HPE educational planning and assistance
 

Enhanced call handling

  • Rapid response to critical hardware incidents (24x7)
  • Accelerated escalation management
  • Remote hardware incident diagnosis and support
  • HPE Electronic Remote Support Solution
  • Access to electronic support information and services

Proactive support features include:


Relationship management

  • Assigned account team 
  • Account support plan
  • Inventory management
  • Support planning and review
  • Support activity review
  • HPE support center
  • HPE educational planning and assistance
 

Enhanced call handling

  • Rapid response to critical hardware incidents (24x7)
  • Accelerated escalation management
  • Remote hardware incident diagnosis and support
  • HPE Electronic Remote Support Solution
  • Access to electronic support information and services

Proactive support features include:


Relationship management

  • Assigned account team 
  • Account support plan
  • Inventory management
  • Support planning and review
  • Support activity review
  • HPE support center
  • HPE educational planning and assistance
 

Enhanced call handling

  • Rapid response to critical hardware incidents (24x7)
  • Accelerated escalation management
  • Remote hardware incident diagnosis and support
  • HPE Electronic Remote Support Solution
  • Access to electronic support information and services

Who is this recommended for?

Hardware

What is metered

 

Included services

Proactive support
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Technical resources

Use these resources to learn more about the HPE GreenLake edge-to-cloud platform, and to get up and running quickly

Data sheets and quick specs

Get detailed information about product features and requirements.

Documentation

See the HPE GreenLake platform in action and get implementation guidance.