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Mingda Jia
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update the per cluster boundary for kubernetes compute
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articles/machine-learning/how-to-manage-quotas.md

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@@ -144,8 +144,10 @@ To request an exception from the Azure Machine Learning product team, use the st
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| Endpoint name| Endpoint names must <li> Begin with a letter <li> Be 3-32 characters in length <li> Only consist of letters and numbers <sup>2</sup> | - | All types of endpoints <sup>3</sup> |
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| Deployment name| Deployment names must <li> Begin with a letter <li> Be 3-32 characters in length <li> Only consist of letters and numbers <sup>2</sup> | - | All types of endpoints <sup>3</sup> |
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| Number of endpoints per subscription | 100 | Yes | All types of endpoints <sup>3</sup> |
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| Number of endpoints per cluster | 60 | - | Kubernetes online endpoint |
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| Number of deployments per subscription | 500 | Yes | All types of endpoints <sup>3</sup>|
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| Number of deployments per endpoint | 20 | Yes | All types of endpoints <sup>3</sup> |
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| Number of deployments per cluster | 100 | - | Kubernetes online endpoint |
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| Number of instances per deployment | 50 <sup>4</sup> | Yes | Managed online endpoint |
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| Max request time-out at endpoint level | 180 seconds | - | Managed online endpoint |
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| Max request time-out at endpoint level | 300 seconds | - | Kubernetes online endpoint |

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