AWS GovCloud (US) User Guide
AWS GovCloud (US) User Guide

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AWS Deep Learning AMIs

The AWS Deep Learning AMIs equip machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud at any scale. You can quickly launch Amazon EC2 instances on Amazon Linux or Ubuntu, preinstalled with popular deep learning frameworks. Examples include Apache MXNet and Gluon, TensorFlow, the Microsoft Cognitive Toolkit (CNTK), Caffe, Caffe2, Theano, Torch and Keras. You can use these frameworks to train sophisticated, custom AI models; experiment with new algorithms; or to learn new skills and techniques.

This service has no differences between AWS GovCloud (US) Regions and the standard AWS Regions.

For more information about AWS Deep Learning AMIs, see the AWS Deep Learning AMIs documentation.

ITAR Boundary

AWS GovCloud (US) has an ITAR boundary, which defines where customers are allowed to store ITAR-controlled data for this service in AWS GovCloud (US) Regions. To maintain ITAR compliance, you must place ITAR-controlled data on the applicable part of the ITAR boundary. If you do not have any ITAR-controlled data in AWS GovCloud (US) Regions, this section does not apply to you. The following information identifies the ITAR boundary for this service:

ITAR-Regulated Data Permitted ITAR-Regulated Data Not Permitted
  • Not applicable. Customer data is not collected.

  • Not applicable. Customer data is not collected.

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