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What is Storidge?

Storidge was established with the belief that enterprise application storage management should be both simple and efficient. Our approach stands apart from conventional techniques used to manage Kubernetes storage and Docker volumes. By automating the storage management process for orchestration platforms such as Kubernetes and Docker Swarm, we enable organizations to conserve both time and financial resources, eliminating the need for expensive expertise to set up and maintain storage solutions. This empowers developers to focus on building applications and delivering value, while operators can more rapidly bring those solutions to market. You can add persistent storage to a single-node test cluster in just seconds, streamlining the process. Storage infrastructure can be deployed as code, minimizing the need for operator involvement and enhancing overall workflows. With features like automated updates, provisioning, recovery, and high availability, we ensure that your critical databases and applications stay operational, thanks to mechanisms for auto failover and automatic data recovery. This comprehensive approach fosters a fluid experience that enables both developers and operators to work more efficiently, ultimately driving innovation and productivity within the organization. As a result, businesses can achieve their objectives with greater agility and effectiveness.

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

AMI Data Center Manager
Amazon Web Services (AWS)
Apache Cassandra
Docker
Jenkins
Kubernetes
Microsoft Azure
Mirantis Cloud Platform
MongoDB
MySQL
Netdata
Redis
WordPress
gopaddle

Integrations Supported

AMI Data Center Manager
Amazon Web Services (AWS)
Apache Cassandra
Docker
Jenkins
Kubernetes
Microsoft Azure
Mirantis Cloud Platform
MongoDB
MySQL
Netdata
Redis
WordPress
gopaddle

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

Storidge

Company Location

United States

Company Website

storidge.com

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/bright-cluster-manager

Categories and Features

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

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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