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What is SAS Grid Manager?

SAS Grid Manager provides organizations with a competitive edge by improving computing capabilities and effectively managing peak demands in a budget-friendly way through a flexible, centrally managed grid computing framework. This innovative system enables IT departments to responsively fulfill service level agreements by reallocating computing resources to accommodate high-demand tasks or evolving business needs, all while keeping centralized oversight of policies, programs, queues, and job prioritization for various users and applications. Within a grid infrastructure that connects multiple servers, tasks can be executed on the most appropriate available resource, guaranteeing that if one server experiences a problem, tasks can quickly switch to another server without any interruption. IT staff can perform maintenance on specific servers or increase computing resources without disrupting ongoing analytics processes or business activities. Moreover, SAS Grid Manager broadens support for diverse analytics environments by adeptly managing jobs not only in SAS but across various programming languages, which accelerates the execution of analytical tasks. This functionality greatly enhances productivity and ensures that analytics workflows run smoothly, significantly reinforcing an organization’s operational effectiveness. Furthermore, the flexibility and resilience of SAS Grid Manager empower organizations to scale their operations seamlessly as their analytical needs evolve over time.

What is HPCWorks Grid Engine?

HPCWorks Grid Engine is a Siemens workload management and distributed resource optimization solution for high-performance computing environments. It helps organizations improve throughput, application performance, and resource utilization across shared on-premises, cloud, and hybrid infrastructure. The platform is designed to support some of today’s largest AI and HPC workloads and has been proven in environments with more than one million cores. HPCWorks Grid Engine enables teams to maximize the use of specialized computing resources, including GPUs, while reducing bottlenecks and improving job turnaround times. Its workload management capabilities help lower hardware, software, and data center costs by scheduling jobs more efficiently and reducing idle resources. License-first scheduling helps reduce wait times and downtime by aligning software license availability with computing demand. Organizations can deploy HPC clusters in their preferred cloud environments and manage workloads across a wide range of operating systems and processor architectures. The software supports thousands of commercial and open-source applications across industries such as life sciences, manufacturing, energy, semiconductor, and research. Priority and utilization policies allow administrators to align cluster workloads with business goals, such as maximizing machine utilization or prioritizing critical departmental workloads. Quotas and limits help teams manage usage by user, group, or project while maintaining control over cluster workload volumes. With comprehensive monitoring and reporting, HPCWorks Grid Engine gives organizations the visibility they need to optimize resources, improve productivity, and deliver faster results.

Media

Media

Integrations Supported

HPCWorks Monitor
SAS Viya

Integrations Supported

HPCWorks Monitor
SAS Viya

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/grid-manager.html

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.siemens.com/en-us/products/hpcworks/grid-engine/

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