Unleash performance with HPE GreenLake
Compute is the backbone of your IT infrastructure. But modern IT teams compose and deploy resources faster than ever before. They must leverage a secure, common operating model to meet individual application and user requirements while maintaining visibility and control over costs, security and governance. Accordingly, management of compute configurations and resources is time-consuming and complex, and the capital investment is daunting – particularly when you factor in the common expense of just-in-case overprovisioning.
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The fast, flexible compute infrastructure your business requires can be delivered on a consumption basis with HPE GreenLake, offering a range of bare-metal configurations delivered and operated for you and consumed on a pay-per-use basis. You pay only for the resources you consume, and built-in buffer capacity enables you to handle both steady growth and unexpected spikes in demand. Even better, our broad range of pre-configured options, designed as modular building blocks of industry-leading HPE technologies, means your solution can be delivered to your on-premises or co-located data centre or edge location in a matter of days.
Simplified IT operation
Configuring, installing and operating compute resources is labor- and capital-intensive. This cloud service approach from HPE GreenLake offers end-to-end cloud-like simplicity and efficiency, with pre-configured modules delivered directly to your data centre or edge location and managed for you by HPE. Your IT resources will be freed to focus on higher-value tasks, and trusted HPE experts will provide proactive and reactive support.
Scale up or down on demand
New opportunities and unexpected challenges draw heavily on compute resources. You’ll have the confidence to respond immediately with the built-in buffer capacity that’s part of every HPE GreenLake configuration, and HPE will manage the capacity with you to add additional resources before they are needed.
In a consumption-based model, your billing directly tracks your actual compute usage, above a reserve. With dashboard-style visibility into near-real-time consumption and cost, the HPE GreenLake Central management platform delivers unrivalled transparency and control.
Configurations for any workload
Whether your business needs ultra-flexible, general-purpose composable compute infrastructure; modular compute-optimised infrastructure; or storage-optimised solutions suitable for big data analytics and software-defined storage; HPE GreenLake offers preconfigured solutions across multiple tiers and scales. And with online pricing, it’s easy to review and compare different configurations and costs – and then get it fast: delivered to your data centre in a matter of days.
For your compute infrastructure, HPE GreenLake offers several configurations based on modular building blocks and offered in cost-optimised, balanced or performance options. You can order, receive and implement resources fast and grow capacity ahead of demand. You only pay for what you use, and you have transparent visibility into your costs and usage in near-real time with the HPE GreenLake Central management platform.
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Gain efficiency and control with software-defined solutions that allow you to deploy IT resources quickly. Combining the HPE Synergy IT composable platform with the consumption model offered through HPE GreenLake powers any workload in a way that is easy to consume and sized and curated for your needs.
Support compute-intensive workloads with rack-optimised servers for scalability in a small footprint. HPE ProLiant – the world’s most secure industry-standard servers 1 – and HPE Apollo servers deliver the compute you need with a flexible, software-defined approach built on a foundation of intelligence starting at the server level.
Support data storage–dense workloads with a balance of performance, expansion and manageability for even your most critical applications and data on-premises. HPE ProLiant and HPE Apollo Servers offer an architecture optimised for big data analytics, software-defined storage, backup and archive, and other data storage–intensive workloads.
“We save money. We can increase storage and compute power with a simple change request.”
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