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What is SUSE Linux Enterprise High Availability?

Minimize unexpected system downtime and mitigate the risk of data loss due to corruption or failures. The SLE HA extension includes geo-clustering capabilities that enable the management of clustered servers, whether they are situated on-site or in cloud environments around the world. Our robust, policy-driven extension for Linux clusters guarantees that your business remains functional while drastically lowering instances of unplanned downtime across different regions and locations. By employing flexible, policy-oriented clustering and continuous data replication, adaptability is enhanced while improving service availability and resource efficiency through the integration of both physical and virtual Linux server clusters. A comprehensive, unified interface simplifies the installation, configuration, management, and monitoring of your clustered Linux environments. Furthermore, the multi-tenancy feature allows for the organization of geo clusters in accordance with distinct business needs, ensuring customized management and peak performance. This all-encompassing strategy not only fortifies system resilience but also bolsters operational efficiency, allowing your organization to thrive in a dynamic landscape. Embracing such advanced solutions ultimately positions your business for sustained success and competitiveness in the market.

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

Additional information not provided

Integrations Supported

Additional information not provided

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

SUSE

Date Founded

1992

Company Location

Germany

Company Website

www.suse.com/products/highavailability/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/bright-cluster-manager

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

HPC

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