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articles/machine-learning/concept-compute-target.md

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@@ -70,24 +70,25 @@ When you select a node size for a managed compute resource in Azure Machine Lear
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There are a few exceptions and limitations to choosing a VM size:
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* Some VM series are not supported in Azure Machine Learning.
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* Some VM series are restricted and need to be specifically enabled before they can be allocated.
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* Some VM series are restricted and need to be specifically approved before they can be provisioned. To do this, file a support ticket for a quota increase request for the VM series you want to use.
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See the following table to learn more about supported series and restrictions.
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| **Supported VM series** |
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|------------|
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| D |
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| Dv2 |
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| DSv2 |
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| FSv2 |
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| NC |
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| NV |
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| NCsv2 |
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| NCsv3 |
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| NDs |
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| NDv2 |
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| NVv3 |
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| FSv2 |
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| **Supported VM series** | **Restrictions** |
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|------------|------------|
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| D | None |
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| Dv2 | None |
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| DSv2 | None |
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| FSv2 | None |
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| M | Requires approval |
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| NC | None |
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| NCsv2 | Requires approval |
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| NCsv3 | Requires approval |
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| NDs | Requires approval |
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| NDv2 | Requires approval |
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| NV | None |
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| NVv3 | Requires approval |
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Note that while Azure Machine Learning supports these VM series, they may not be available in all Azure regions. You can check with VM series are available here: [Products Available by Region](https://azure.microsoft.com/en-us/global-infrastructure/services/?products=virtual-machines).
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