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What is IBM Storage for Red Hat OpenShift?

IBM Storage for Red Hat OpenShift offers a smooth integration of traditional and container storage, making it easy to implement scalable microservices architectures suitable for enterprises. This solution has been tested in conjunction with Red Hat OpenShift, Kubernetes, and IBM Cloud Pak, which guarantees an efficient deployment and management experience. It features advanced data protection, automated scheduling, and capabilities for data reuse that are specifically designed for environments using Red Hat OpenShift and Kubernetes. Users can quickly deploy the necessary resources thanks to its support for block, file, and object data types. Moreover, IBM Storage for Red Hat OpenShift establishes a solid and flexible hybrid cloud infrastructure on-premises, delivering essential storage orchestration and infrastructure. In addition, the platform enhances container efficiency in Kubernetes settings by incorporating Container Storage Interface (CSI) support for both block and file storage options. This all-encompassing strategy equips organizations with the tools to refine their storage methodologies, driving both efficiency and scalability to new heights. Organizations can thus confidently embrace innovation while managing their data more effectively.

What is AWS Deep Learning Containers?

Deep Learning Containers are specialized Docker images that come pre-loaded and validated with the latest versions of popular deep learning frameworks. These containers enable the swift establishment of customized machine learning environments, thus removing the necessity to build and refine environments from scratch. By leveraging these pre-configured and rigorously tested Docker images, users can set up deep learning environments in a matter of minutes. In addition, they allow for the seamless development of tailored machine learning workflows for various tasks such as training, validation, and deployment, integrating effortlessly with platforms like Amazon SageMaker, Amazon EKS, and Amazon ECS. This simplification of the process significantly boosts both productivity and efficiency for data scientists and developers, ultimately fostering a more innovative atmosphere in the field of machine learning. As a result, teams can focus more on research and development instead of getting bogged down by environment setup.

Media

Media

Integrations Supported

AWS Marketplace
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EKS
Amazon Elastic Container Registry (ECR)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)

Integrations Supported

AWS Marketplace
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EKS
Amazon Elastic Container Registry (ECR)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/it-infrastructure/storage/containers/redhat-openshift

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/containers/

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Container Security

Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

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