Cloud Computing: Adaptive Computing Adds Two Additions to Moab HPC Suite

Grazed from Adaptive Computing. Author: PR Announcement.

Adaptive Computing, the largest provider of private cloud management and High-Performance Computing (HPC) workload management software, today announced the release of two new editions of its Moab HPC Suite: Application Portal Edition and Remote Visualization Edition. These two new solutions are designed to leverage next-generation access models to simplify the collection and interpretation of data, improving the time it takes to achieve meaningful results.

Moab HPC Suite – Application Portal Edition

With an integrated NICE EnginFrame application portal, Moab streamlines the process of accessing job information by making it all available from a single point – applications, data, resources and job submissions – thus keeping costs to a minimum throughout the design and research processes. It supports the most common ISV and open-source applications used in a variety of disciplines, including manufacturing, energy, life science, government and education, without requiring users to undergo specialized HPC training. Data is also stored efficiently to minimize the need for file transfers…

It also makes it easier for users to collaborate on jobs, while maintaining security through standard browser access. This allows users both inside and outside the organization to access the data, which is encrypted for transmission. Access can be granted based on user groups, applications or resource parameters.

This edition of Moab also reduces costs by improving the efficiency of accessing and sharing the centralized pool of resources. Its advanced scheduling policies allow maximum HPC resource utilization by more users. Application licenses are also pooled to reduce costs and improve service to users. In addition, policies and usage budgets are enforced to ensure that service level agreements are met and project priorities are maintained. This enables optimized use of the centralized HPC storage capacity.

Moab HPC Suite – Remote Visualization Edition

The new Remote Visualization Edition of Moab allows organizations to take advantage of the ability to consolidate workstations into centralized resources, saving money and making specialized computing resources available to more users. This reduces management costs by keeping overhead low, as well as keeping network congestion at a minimum by removing the need to transmit full data sets. The result is less data transfer time lags for users. Less data transmission in turn reduces energy usage and storage costs as storage is centralized. This approach also minimizes security risks, keeping data sets closer to the centralized computing resources. It’s shared pool of resources also decreases software licensing costs.

The Remote Visualization Edition also provides guaranteed shared visualization resource access for users, with automated policies and budgets that enforce priorities and service levels. Moab’s allocating and scheduling policies enable workload packing, allowing optimized utilization of GPUs and other accelerators, as well as multiple Linux user sessions on a single machine. Changing demands within workloads can also be better managed by Moab’s ability to dynamically re-provision the operating system as needed.

Moab HPC Suite – Remote Visualization Edition also includes an integrated NICE EnginFrame Views portal, as well as NICE Desktop Cloud Visualization, allowing secure remote access to cloud sessions with ideal compression, in Linux, Windows or virtual environments.

Moab HPC Suite – Application Portal Edition and Moab HPC Suite – Remove Visualization Edition is available in November from Adaptive Computing as well as through our partner, HP and HP’s reseller and integrator partners.

“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,” said Jan Wallenberg, CEO of Go Virtual. “That’s where Moab comes in. Its efficiency makes a significant difference in the user experience and overall performance of the system.”