How Can Going Hybrid Break HPC Capacity Constraints?

NICE EnginFrame lets you manage your HPC workloads, wherever they are…

If you’re running technical or scientific workloads on-prem, your HPC rig is probably your pride and joy. But it’s inevitable that sometimes you’re going to think, deep down, “I could really do with some extra power today” by bursting onto the cloud.

Or maybe you’re thinking it might be time to start migrating some or all of your HPC workloads completely to the cloud, so you can take full advantage of the scale – and range of architectures – available.

In which case you should investigate AWS’ NICE EnginFrame with support for hybrid environments. AWS acquired NICE and its EnginFrame and DCV products back in 2016 and has been steadily building out its distributed HPC offering ever since.

Now, with the launch of EnginFrame with support for hybrid environments, EnginFrame can manage HPC operations both on-prem, and in the cloud, through a single unified interface. This means EnginFrame customers can easily define their workload requirements, and burst or migrate their HPC workloads onto to AWS, whether to accelerate operations by tapping additional capacity, or gain access to architectures, such as FPGAs or GPUs, that they can’t exploit on prem.

Central to this is the AWS HPC Connector, which provides consistent interfaces across on-prem and AWS infrastructure, giving EnginFrame customers access to managed AWS clusters, via the recently updated AWS ParallelCluster. All you need to do is provide a text-based ParallelCluster configuration to model and provision all the resources needed for your HPC applications in an automated and secure manner.

And EnginFrame is tightly integrated with NICE DCV, AWS’ high-performance remote display protocol, which provides a secure way to deliver remote desktops and application streaming, making it easier to apply HPC to a wider array of problems.

Tapping this resource simply requires downloading EnginFrame and hosting it on an on-prem cluster, to support hybrid ops. Or, if you want to run all your jobs on AWS, you can install it on an Amazon EC2 instance. There’s no additional charge for using EnginFrame on AWS. You only pay for the AWS resources used to store and run your applications. To use EnginFrame on-premises, you can purchase a license through one of the authorized NICE distributors or resellers who can provide sales, installation services, and support in your country.

Whether you want to run your HPC workloads in one place, or many, with EnginFrame you can manage them all from one interface. To learn more about EnginFrame, head to AWS here.

 

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