Audience

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

About AWS Deep Learning Containers

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.

Integrations

Ratings/Reviews

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Company Information

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

Videos and Screen Captures

AWS Deep Learning Containers Screenshot 1
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Product Details

Platforms Supported
Cloud
Support
Online

AWS Deep Learning Containers Frequently Asked Questions

Q: What kinds of users and organization types does AWS Deep Learning Containers work with?
Q: What languages does AWS Deep Learning Containers support in their product?
Q: What kind of support options does AWS Deep Learning Containers offer?
Q: What other applications or services does AWS Deep Learning Containers integrate with?

AWS Deep Learning Containers Product Features

Container Management

Virtualization Not Supported
Application Development Not Supported
Build Automation Not Supported
Deployment Automation Not Supported
Container Storage Not Supported
Access Control Not Supported
Automatic Scaling Not Supported
Hybrid Deployments Not Supported
Shared File Systems Not Supported
Version Control Not Supported
Network Isolation Not Supported
Orchestration Not Supported
File Isolation Not Supported
Container Health Management Not Supported