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What is Azure Container Registry?

Facilitate the creation, storage, protection, inspection, copying, and management of container images and artifacts through a fully managed, geo-redundant OCI distribution instance. Effortlessly connect diverse environments, including Azure Kubernetes Service and Azure Red Hat OpenShift, along with various Azure services such as App Service, Machine Learning, and Batch. Thanks to the geo-replication feature, users can effectively manage a unified registry that operates across several regions. The OCI artifact repository supports the inclusion of helm charts, singularity compatibility, and new formats that adhere to OCI standards. Enhancing operational efficiency, automated workflows for building and updating containers—including base image revisions and scheduled tasks—are implemented. Comprehensive security measures are put in place, incorporating Azure Active Directory (Azure AD) authentication, role-based access control, Docker content trust, and integration with virtual networks. Azure Container Registry Tasks streamline the building, testing, pushing, and deploying of images to Azure, leading to a more efficient workflow. This holistic management strategy not only fosters improved collaboration but also significantly shortens the development lifecycle within cloud ecosystems, ultimately leading to faster project completions and greater innovation.

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 Service (Amazon ECS)
Amazon SageMaker
Azure Kubernetes Service (AKS)
Azure Machine Learning
Beats
BentoML
Harbor
K-PORT
Microsoft Customer Lockbox
Ozone
Protegrity

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 Service (Amazon ECS)
Amazon SageMaker
Azure Kubernetes Service (AKS)
Azure Machine Learning
Beats
BentoML
Harbor
K-PORT
Microsoft Customer Lockbox
Ozone
Protegrity

API Availability

Has API

API Availability

Has API

Pricing Information

$0.167 per day
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/container-registry/

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

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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