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Update overview-what-is-azure-machine-learning.md
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articles/machine-learning/overview-what-is-azure-machine-learning.md

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Machine learning projects often require a team with varied skill set to build and maintain. Azure Machine Learning has tools that help enable you to:
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* Collaborate with your team via shared notebooks, compute resources, data, and environments
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* Collaborate with your team via shared notebooks, compute resources, [serverless compute (preview)](how-to-use-serverless-compute.md), data, and environments
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* Develop models for fairness and explainability, tracking and auditability to fulfill lineage and audit compliance requirements
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### Multinode distributed training
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Efficiency of training for deep learning and sometimes classical machine learning training jobs can be drastically improved via multinode distributed training. Azure Machine Learning compute clusters offer the latest GPU options.
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Efficiency of training for deep learning and sometimes classical machine learning training jobs can be drastically improved via multinode distributed training. Azure Machine Learning compute clusters and [serverless compute (preview)](how-to-use-serverless-compute.md) offer the latest GPU options.
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Supported via Azure Machine Learning Kubernetes and Azure Machine Learning compute clusters:
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Supported via Azure Machine Learning Kubernetes, Azure Machine Learning compute clusters, and [serverless compute (preview)](how-to-use-serverless-compute.md):
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* PyTorch
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* TensorFlow

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