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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.
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Make faster decisions and reduce time to discovery with HPE GreenLake for HPC.
Key Features
Scalable solution with self-service capabilities
With more workloads and applications driving the use of high performing compute environments, the HPE GreenLake platform can scale with your demands, give you transparency for usage and cost, and with self service capabilities for users to get the resources they need when they need them.
Efficient, pay per use model
HPC workload demands can fluctuate. With our platform, you gain predictable costs, and can avoid the need to overprovision resources for growth. You pay only for the resources you consume, and the built-in buffer capacity enables you to handle both steady growth and unexpected spikes in demand.
Industry-leading technology and services
The HPE GreenLake edge-to-cloud platform combines the power of our industry-leading HPC infrastructure and an aaS cloud experience. From HPE, customers can get the dense compute, high speed storage, interconnects, and the software needed to run, tune, and manage HPC clusters at peak performance.
Managed for you
HPE can manage your HPC environment, helping to free up your resources for more productive tasks. Experts handle the performance tuning, capacity planning, lifecycle management, firmware updating, and patch management while monitoring critical KPIs of performance.
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