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What is OKD?

In conclusion, OKD can be viewed as a distinctively opinionated iteration of Kubernetes. At its essence, Kubernetes is built on a variety of software and architectural patterns that facilitate the management of applications at scale. While we directly integrate some features into Kubernetes through various modifications, most of our improvements stem from the "preinstallation" of an extensive range of software components, commonly referred to as Operators, within the deployed cluster. These Operators are responsible for overseeing over 100 critical aspects of our platform, which encompass OS upgrades, web consoles, monitoring systems, and image-building capabilities. OKD is adaptable and can be deployed in numerous environments, including cloud platforms, on-premises servers, and edge computing setups. The installation process is streamlined and automated for specific platforms, such as AWS, while also providing flexibility for customization in other contexts, like bare metal or experimental lab environments. OKD not only adheres to development and technological best practices but also serves as an outstanding platform for both technologists and students to examine, innovate, and participate in the expansive cloud ecosystem. Additionally, being an open-source initiative, it promotes community involvement and collaboration, which nurtures an enriching atmosphere for learning and development opportunities. This makes OKD not just a tool, but a vibrant community resource for those looking to deepen their understanding of cloud technologies.

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

AWS Marketplace
Amazon Web Services (AWS)
Kubernetes
Red Hat OpenShift

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Kubernetes
Red Hat OpenShift

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

OKD

Company Location

United States

Company Website

okd.io

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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