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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

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.

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 Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Not 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 interested in a scalable container management service solution

Support

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

Support

Phone Support Not Supported
24/7 Live Support 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

No information available.
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 4.8 / 5
ease 4.8 / 5
features 4.8 / 5
design 4.5 / 5
support 4.5 / 5

Pros & Cons from Real Users

Pros

  • Best way to package and store the application code that we create for our client's apps and help keep this information in a reliable and quick access container.
  • The main pros of using Amazon Elastic Container Service is that is very easy to run your dockerized containers. Also, the documentation is very clean and easy to understand so it won't be a problem for anyone to work with this product.
  • I like that it is possible to rent virtual computers which lets people run their own computer applications.
  • Simple configuration & Easy to maintain. Great Integration. Custom Docker support via ECR. Scalable & Reliable. Pay as you use model.

Cons

  • Sometimes deleting a container can be difficult when it has hidden objects in it.
  • I have used this product for some time now but I have not found any cons in using this product.
  • There is no cons.
  • Documentation can be more beginner friendly. Pricing model is good but GCP offers better pricing.

Training

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

Training

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

Company Information

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

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/ecs/

Alternatives

Alternatives

Amazon EC2

Amazon EC2

Amazon
Amazon EKS

Amazon EKS

Amazon
AWS Fargate

AWS Fargate

Amazon

Categories

Categories

Container Management Features

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

Integrations

AWS Marketplace Supported
AWS Neuron Supported
Amazon EC2 G5 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon EC2 P5 Instances Supported
Amazon EKS Supported
Amazon Elastic Container Registry (ECR) Supported
Amazon CodeGuru Not Supported
Amazon EC2 Inf1 Instances Not Supported
Amazon GameLift Not Supported
Amazon SageMaker Supported
Amplication Not Supported
CloudAvocado Not Supported
Codefresh Not Supported
Edge Delta Not Supported
MongoDB Atlas Not Supported
New Relic Not Supported
Traceable Not Supported
Vulcan Cyber Not Supported
eG Enterprise Not Supported

Integrations

AWS Marketplace Supported
AWS Neuron Supported
Amazon EC2 G5 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon EC2 P5 Instances Supported
Amazon EKS Supported
Amazon Elastic Container Registry (ECR) Supported
Amazon CodeGuru Supported
Amazon EC2 Inf1 Instances Supported
Amazon GameLift Supported
Amazon SageMaker Not Supported
Amplication Supported
CloudAvocado Supported
Codefresh Supported
Edge Delta Supported
MongoDB Atlas Supported
New Relic Supported
Traceable Supported
Vulcan Cyber Supported
eG Enterprise Supported
Claim AWS Deep Learning Containers and update features and information
Claim AWS Deep Learning Containers and update features and information
Claim Amazon Elastic Container Service (Amazon ECS) and update features and information
Claim Amazon Elastic Container Service (Amazon ECS) and update features and information