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Get the power and performance you need for even your most resource-intensive virtualized workloads with scalable, resilient enterprise-ready virtual machines with the HPE GreenLake experience. Whether you need 100% guaranteed availability, or you prioritize flexibility or cost control, pre-configured offerings make it simple to choose the right option for your needs. And with your infrastructure delivered as a service, you avoid the large up-front capital investment and overprovisioning risks of a traditional deployment. With HPE GreenLake, your solutions are owned, managed, and monitored by HPE—and they can be delivered to your on-premises or co-located data center in as few as 14 days.
These configurations provide high-performance systems for your mission-critical VM workloads. HPE Synergy-based configurations with either HPE Primera or HPE Nimble storage offer superior, hybrid-cloud-ready performance and include built-in buffer capacity to handle unexpected spikes in demand.
Get a balance of performance, expandability, and manageability across diverse workloads with the HPE GreenLake edge-to-cloud platform for general purpose compute. Built on a foundation of rack-optimized HPE ProLiant DL and HPE Apollo servers, the solution offers scalability in a small footprint, and can be configured to support even your most critical applications and data on premises. HPE Financial Services can even help you manage the end-of-use upcycling of your existing compute assets in a secure and environmentally responsible manner as you migrate to a pay-per-use model.
Your infrastructure is delivered as a service with HPE GreenLake for compute, so you're ready to scale up or down without up-front capital investment, risk of overprovisioning, or extended purchasing and implementation timeframes. And it can be delivered to your on-premises or co-located data center in as few as 14 days.
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.
With composable compute delivered as a cloud service on-premises, you’ll gain agility and avoid costly manual configuration and management of compute resources.
HPE GreenLake for storage optimized compute delivers the right balance of performance, expansion, and manageability you need to handle your most critical data-driven applications. With the power of HPE ProLiant and HPE Apollo Servers, you get an ultra-dense, rack-scale architecture designed for big data analytics, software-defined storage, backup and archive, and other data-dense workloads.
Your storage-optimized infrastructure is delivered as a service in a pay-per-use model with the HPE GreenLake edge-to-cloud platform, so you're ready to scale up or down without up-front capital investment, risk of overprovisioning, or extended purchasing and implementation timeframes. Plus, you can recover residual value from your existing compute infrastructure, regardless of the original vendor, and support the circular economy with help from HPE Financial Services. And your new infrastructure can be delivered to your on-premises or co-located data center in as few as 14 days.
The HPE Ezmeral Unified Analytics solution modernizes legacy data and applications to optimize data-intensive workloads from edge to cloud to deliver the scale and elasticity required for advanced analytics.
Organizations in every industry are looking to leverage AI and ML to harness the power of their data and deliver business innovation through data science. But even when they achieve some measure of success with machine learning pilot programs, many organizations face challenges when they seek to scale these programs to production: security concerns, legacy hardware, siloed data and workflows, inefficient processes, and daunting costs.
To deliver the value of ML and data science to your enterprise, the HPE GreenLake platform delivers an enterprise-grade ML cloud service that enables developers and data scientists to rapidly build, train, and deploy ML models—from pilot to production, at any scale. This solution comprises an optimized hardware stack and is powered by HPE Ezmeral ML Ops. It provides data scientists with self-service access to a sandbox environment for prototyping and testing, to eliminate IT provisioning delays, ensure repeatability, and accelerate time-to-value.
To help you mine continuous streams of value locked in your data, HPE GreenLake delivers a trusted, enterprise-grade AI/ML and analytics cloud-like experience so you can accelerate your data modernization initiatives, from edge to cloud. With a cloud-native architecture, support for open source data science tools, and AI accelerators and frameworks, it provides choice and an elastic, unified analytics platform for data and applications on-premises, at the edge, and in public clouds. The consistent experience helps data, IT teams, developers, and analysts simplify the complexities of machine learning lifecycles and data management at scale, leading to better, faster decisions no matter where your data resides.
Many enterprises have their high-performance databases supported by traditional infrastructure. Managing these segregated workloads results in burdensome manual processes that can expose your database to costly human error. In addition to high maintenance costs, database sprawl, and increased security risk, such siloed operations on traditional infrastructure result in slow provisioning, inflexibility, poor quality insights, and expensive workarounds for disaster recovery.
You need high performance capabilities to unlock the potential of your data and accelerate innovation and run your modeling, simulation, artificial intelligence (AI), and analytics workloads efficiently. Now you can answer your most challenging questions with HPC for your standard business processes, removing the barriers to HPC and leveraging true HPC technology in this cloud service.
With HPE GreenLake for HPC, organizations can gain the agility to scale the environment with ease and empower users with self-service. The HPE GreenLake platform can deliver superior flexibility, scalability, and control of HPC solutions with a cloud service consumption model on premises. Open up AI, ML and more HPC techniques with this second generation cloud service, now with a lower flexible entry point, more GPU choices, Slingshot high speed networking, and HPE Parallel Storage.
While the costs and risks of an on-premises cloud migration are typically lower than those of a public cloud migration, most organizations are looking for a hybrid model that utilizes on-premises cloud, multiple public clouds, and edge computing to deliver the right mix of decision-making effectiveness, agility, security, and cost.
With HPE guiding you through the process, you can achieve your right mix to unlock value in your data wherever it resides, while reducing technological and financial risks. Even though most organizations use an average of five cloud solutions, a majority of core business applications run on expensive, legacy platforms. But with one accountable migration partner with thousands of successful enterprise-wide hybrid and multi-cloud adoption engagements—including HPE GreenLake on-premises cloud with easier, fewer, and less risky steps—you can easily reap the full value of transformation that will move your business forward.
* Prices may vary based on local reseller.