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What is Moab HPC Suite?

Moab® HPC Suite streamlines the oversight, tracking, reporting, and scheduling of extensive HPC tasks through automation. Featuring a patent-pending intelligence engine, it employs multi-dimensional policies to enhance the timing and execution of workloads across various resources. These sophisticated policies effectively balance the objectives of high utilization and throughput with the constraints of competing workload priorities and SLA requirements, enabling greater efficiency in accomplishing tasks with optimal prioritization. By leveraging Moab HPC Suite, organizations can maximize their HPC systems' value and usage while simultaneously minimizing management complexities and associated costs. Additionally, the innovative framework supports dynamic adjustments to workload management, adapting to changing demands seamlessly.

What is HPE Pointnext?

The intersection of high-performance computing (HPC) and machine learning is imposing extraordinary demands on storage technologies, given the significantly varying input/output requirements of these two different workloads. This transformation is currently underway, with a recent study by the independent firm Intersect360 indicating that an impressive 63% of HPC users are now incorporating machine learning applications into their systems. Additionally, Hyperion Research anticipates that, if current trends persist, spending on HPC storage by public sector organizations and businesses will grow at a pace 57% quicker than investments in HPC computing over the next three years. In light of these changes, Seymour Cray famously remarked, "Anyone can build a fast CPU; the trick is to build a fast system." In the context of HPC and artificial intelligence, while it may appear simple to create rapid file storage solutions, the real challenge is in designing a storage system that is not only swift but also cost-effective and capable of scaling efficiently. We achieve this by incorporating leading parallel file systems into HPE's parallel storage solutions, ensuring that our approach prioritizes cost efficiency. This methodology not only addresses the immediate needs of users but also strategically positions us for future advancements in the field, allowing us to remain agile in a rapidly evolving technological landscape.

Media

Media

Integrations Supported

Integrations Supported

Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
SQLXPress
XYGATE Identity Connector
XYGATE SecurityOne

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Adaptive Computing

Date Founded

2001

Company Location

United States

Company Website

adaptivecomputing.com/cherry-services/moab-hpc/

Company Facts

Organization Name

Hewlett Packard

Date Founded

2015

Company Location

United States

Company Website

www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html

Categories and Features

HPC

Not specified

Categories and Features

HPC

Not specified

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