Posted by on
Tags: , , , , , , , , , , , , ,
Categories: Uncategorized

Computing has in many cases evolved into a utility that is easy for everyone to access and use. However, high-performance computing (HPC) is one of the most stubborn resistors of this change. For many organizations, it remains costly to buy, and both complex and time-consuming to manage.

Why not just move HPC workloads to the public cloud? That’s easier said than done, because workloads depend on low latency data movement, powerful processing, and high availability of server resources. None of these come easy via public cloud services.

But there is good news. Now you can keep HPC on premises, where it runs best, and consume it as a simple, flexible, and powerful service. And you can bring cloud-like attributes to HPC, like consumption-based economics and flexible managed infrastructure.

HPE GreenLake for HPC is the solution that makes this possible, delivering powerful business outcomes such as:

  • 75% faster HPC project deployment[1]
  • 40% lower capex for HPC solutions[2]
  • Leading-edge HPC performance with AMD EPYC processors, which are tightly integrated with HPE technologies[3]

Here’s how HPE GreenLake is changing ideas about what an HPC-as-a-service solution can be.

Service you can see, touch, depend on

HPC workloads are often business critical. If you’re in manufacturing, life sciences, healthcare, energy, or another science-focused industry, perhaps implementing these HPC workloads create your competitive advantage.

But HPC infrastructure is complex to deploy, manage, and tune on a daily basis, and this complexity can hurt competitiveness. It is also expensive to buy and upgrade.

HPE GreenLake for HPC takes away these costs – without hurting performance or control.

HPE GreenLake provides a pay-per-use model for IT, with no big up-front costs, flexibility to upgrade and scale when you need to. Infrastructure is managed by HPE. But you can still locate your HPC servers at your data center, or wherever you need them.

Read more here:

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.