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About

Deep Learning Containers are Docker images that are preinstalled and tested with the latest versions of popular deep learning frameworks. Deep Learning Containers lets you deploy custom ML environments quickly without building and optimizing your environments from scratch. Deploy deep learning environments in minutes using prepackaged and fully tested Docker images. Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.

About

Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers looking for a Container Management solution to quickly deploy deep learning environments

Audience

Organizations that need a comprehensive container management solution

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$7 per month
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 4.7 / 5
ease 4.0 / 5
features 4.3 / 5
design 4.3 / 5
support 4.3 / 5

Pros & Cons from Real Users

Pros

  • -Allows instances of apps to run in their own memory space -Quick to install -Large repository of apps available -Tools to manage apps available -Available for Win10, Linux, NAS
  • Cross platform Repo to publish images which are not out there Part of open source project High performance for finding and sharing containers images
  • Easy to setup and get started with. Portability. Available across all platforms - Windows, Linux and MacOS. Large number of pre-built images. Simplifies deployment pipeline.

Cons

  • -While its easy to install a lot of Docker apps, installing tools to manage them is more challenging. -Linux based vs. Windows based Docker can be confusing.
  • Documentation is not that descriptive and In linux its find difficult to start and on windows virtualisation needs to be on and some changes in BIOS. And will not work on Windows home.
  • CLI takes time to learn. Resource intensive. Documentation is not beginner friendly.

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/machine-learning/containers/

Company Information

Docker
www.docker.com

Alternatives

Alternatives

Categories

Categories

Application Development Features

Access Controls/Permissions Supported
Code Assistance Not Supported
Code Refactoring Supported
Collaboration Tools Supported
Compatibility Testing Supported
Data Modeling Supported
Debugging Not Supported
Deployment Management Supported
Graphical User Interface Not Supported
Mobile Development Not Supported
No-Code Supported
Reporting/Analytics Supported
Software Development Not Supported
Source Control Supported
Testing Management Not Supported
Version Control Not Supported
Web App Development Not Supported

Integrations

AWS Marketplace Supported
Amazon EC2 G5 Instances Supported
Axon Server Not Supported
Eco Not Supported
Gamification-Engine Not Supported
Helidon Not Supported
Hitachi Unified Compute RS Series Not Supported
HostPresto Not Supported
MacHTTP-js Not Supported
NeuVector Not Supported
OpenLiteSpeed Not Supported
Posting Not Supported
Qvera Interface Engine Not Supported
SecOps Not Supported
Silex Not Supported
StrongDM Not Supported
TestEngine Not Supported
Tokern Not Supported
VxWorks Not Supported
balenaEngine Not Supported

Integrations

AWS Marketplace Supported
Amazon EC2 G5 Instances Supported
Axon Server Supported
Eco Supported
Gamification-Engine Supported
Helidon Supported
Hitachi Unified Compute RS Series Supported
HostPresto Supported
MacHTTP-js Supported
NeuVector Supported
OpenLiteSpeed Supported
Posting Supported
Qvera Interface Engine Supported
SecOps Supported
Silex Supported
StrongDM Supported
TestEngine Supported
Tokern Supported
VxWorks Supported
balenaEngine Supported
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