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Adaptive Computing Releases Two New Editions of Moab HPC Suite

Adaptive Computing Releases Two New Editions of Moab HPC Suite

November 21, 2012
By Nathesh, TMCnet Contributor

Adaptive Computing (News - Alert), a provider of private cloud management and high-performance computing (HPC) workload management software, stated that its newly released Application Portal Edition and Remote Visualization Edition of its Moab HPC Suite make use of advanced access models to ease the process of data collection and interpretation and enhances the time it takes to derive significant results. 


Adaptive Computing explained that its HPC workload management products embedded with the patented Moab intelligence engine optimize scheduling and management across workloads and resources, based on policies. They accelerate results delivery and maximize utilization while simplifying workload management across complex, heterogeneous cluster environments or even HPC cloud environments.

The newly released Moab HPC Suite – Application Portal Edition features the NICE EnginFrame application portal that streamlines job information access. From a single point, users are provided with the means to access information, which brings down costs throughout the design and research processes. Supporting common ISV and open-source applications, the new edition removes the need for users to undergo any special sort of HPC training.

The new Remote Visualization Edition of Moab allows organizations to seamlessly consolidate workstations into centralized resources, saving money and making specialized computing resources available to more users. One can realize lesser management costs and minimal network congestion which results in less data transfer time lags for users. This edition also provides guaranteed shared visualization resource access for users, with automated policies and budgets.

Jan Wallenberg, CEO at Go Virtual commented, “In order for our customers to get the most out of our cluster technology, it’s important that they be able to schedule and allocate resources as effectively as possible. That’s where Moab comes in. Its efficiency makes a significant difference in the user experience and overall performance of the system.”

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Edited by Rachel Ramsey






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