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Signed-off-by: sirutBuasai <sirutbuasai27@outlook.com>
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.github/workflows/docs.yml

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branches: [main, doc-poc]
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docs/get_started/using_dlcs.md

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# Using Deep Learning Containers
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This guide covers how to run AWS Deep Learning Containers on AWS Platforms such as SageMaker and EC2.
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The following sections describe how to use Deep Learning Containers to run sample code from each of the frameworks on AWS infrastructure.
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## Use Cases
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- For information on using Deep Learning Containers with SageMaker AI, see the [Use Your Own Algorithms or Models with SageMaker AI Documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers.html).
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- To learn about using Deep Learning Containers with SageMaker AI HyperPod on EKS, see [Orchestrating SageMaker HyperPod clusters with Amazon EKS SageMaker AI](https://docs.aws.amazon.com//sagemaker/latest/dg/sagemaker-hyperpod-eks.html).
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## Running on SageMaker
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