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articles/machine-learning/reference-azure-container-for-pytorch.md

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@@ -28,7 +28,7 @@ Azure Container for PyTorch is a lightweight, standalone environment that includ
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* Ease of use: All components installed and validated against dozens of Microsoft workloads to reduce setup costs and accelerate time to value.
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* Latest Training Optimization Technologies: [ONNX RunTime](https://onnxruntime.ai/) , [DeepSpeed](https://www.deepspeed.ai/)[MSCCL](https://github.com/microsoft/msccl),and others.
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* Integration with Azure Machine Learning: Track your PyTorch experiments on Azure Machine Learning studio or using the SDK.
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* The image is also available as a [DSVM](../virtual-machines/data-science-virtual-machines.md).
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* The image is also available as a [Data Science Virtual Machine (DSVM)](https://azure.microsoft.com/products/virtual-machines/data-science-virtual-machines/). To learn more about Data Science Virtual Machines, see [the DSVM overview documentation](data-science-virtual-machine/overview.md).
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* Azure customer support reduces training and deployment latency.
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* Improves training and deployment success rate.
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* Avoid unnecessary image builds.

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