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minor doc improvement
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doc/api/training/smd_model_parallel.rst

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@@ -34,11 +34,8 @@ across multiple GPUs with minimal code changes. The library's API can be accesse
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.. important::
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The model parallel library only supports SageMaker training jobs using CUDA 11.
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Make sure you use the pre-built Deep Learning Containers, or use the right CUDA version
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if you use a custom training container.
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.. tip::
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If you want to extend or customize your own training image
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Make sure you use the pre-built Deep Learning Containers.
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If you want to extend or customize your own training image,
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you must use a CUDA 11 base image. For more information, see `Extend a Prebuilt Docker
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Container that Contains SageMaker's Distributed Model Parallel Library
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<https://docs.aws.amazon.com/sagemaker/latest/dg/model-parallel-sm-sdk.html#model-parallel-customize-container>`_

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