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articles/machine-learning/resource-curated-environments.md

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# Azure Machine Learning Curated Environments
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This article lists the curated environments with latest framework versions in Azure Machine Learning. Curated environments are provided by Azure Machine Learning and are available in your workspace by default. They are backed by cached Docker images that use the latest version of the Azure Machine Learning SDK, reducing the run preparation cost and allowing for faster deployment time. Use these environments to quickly get started with various machine learning frameworks.
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This article lists the curated environments with latest framework versions in Azure Machine Learning. Curated environments are provided by Azure Machine Learning and are available in your workspace by default. They're backed by cached Docker images that use the latest version of the Azure Machine Learning SDK, reducing the run preparation cost and allowing for faster deployment time. Use these environments to quickly get started with various machine learning frameworks.
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> [!NOTE]
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> Use the [Python SDK](how-to-use-environments.md), [CLI](/cli/azure/ml/environment#az-ml-environment-list), or Azure Machine Learning [studio](how-to-manage-environments-in-studio.md) to get the full list of environments and their dependencies. For more information, see the [environments article](how-to-use-environments.md#use-a-curated-environment).
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### Azure Container for PyTorch (ACPT)
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**Name**: AzureML-ACPT-pytorch-1.12-py39-cuda11.6-gpu
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**Description**: The Azure Curated Environment for PyTorch is our latest PyTorch curated environment. It is optimized for large, distributed deep learning workloads and comes pre-packaged with the best of Microsoft technologies for accelerated training, e.g., OnnxRuntime Training (ORT), DeepSpeed, MSCCL, etc.
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**Description**: The Azure Curated Environment for PyTorch is our latest PyTorch curated environment. It's optimized for large, distributed deep learning workloads and comes prepackaged with the best of Microsoft technologies for accelerated training, for example, OnnxRuntime Training (ORT), DeepSpeed, MSCCL, etc.
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The learn more, see [Azure Container for PyTorch (ACPT)](resource-azure-container-for-pytorch.md).
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To learn more, see [Azure Container for PyTorch (ACPT)](resource-azure-container-for-pytorch.md).
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> [!NOTE]
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> Currently, due to underlying cuda and cluster incompatibilities, on [NC series](../virtual-machines/nc-series.md) only acpt-pytorch-1.11-cuda11.3 with cuda 11.3 and torch 1.11 can be used.

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