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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 Bright Cluster Manager?

Bright Cluster Manager provides a diverse array of machine learning frameworks, such as Torch and TensorFlow, to streamline your deep learning endeavors. In addition to these frameworks, Bright features some of the most widely used machine learning libraries, which facilitate dataset access, including MLPython, NVIDIA's cuDNN, the Deep Learning GPU Training System (DIGITS), and CaffeOnSpark, a Spark package designed for deep learning applications. The platform simplifies the process of locating, configuring, and deploying essential components required to operate these libraries and frameworks effectively. With over 400MB of Python modules available, users can easily implement various machine learning packages. Moreover, Bright ensures that all necessary NVIDIA hardware drivers, as well as CUDA (a parallel computing platform API), CUB (CUDA building blocks), and NCCL (a library for collective communication routines), are included to support optimal performance. This comprehensive setup not only enhances usability but also allows for seamless integration with advanced computational resources.

Media

Media

Integrations Supported

SAS Viya

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

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

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/bright-cluster-manager

Categories and Features

Cluster Management

Not specified

Categories and Features

Cluster Management

Not specified

Deep Learning

ML Algorithm Library

HPC

Not specified

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