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Merge pull request #816 from siyuZL/siyuzl/arcdp-timeout
Add create deployment timeout limit for Kubernetes compute as limitation
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articles/machine-learning/how-to-attach-kubernetes-anywhere.md

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@@ -73,6 +73,7 @@ A `KubernetesCompute` target in Azure Machine Learning workloads (training and m
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- The availability of **Preview features** in Azure Machine Learning isn't guaranteed.
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- Models (including the foundational model) from the **Model Catalog** and **Registry** aren't supported on Kubernetes online endpoints.
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- The process of creating a model inference deployment inside the cluster has a timeout limit of **20 minutes**. This includes downloading the image, downloading the model, and initializing the user scripts.
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## Recommended best practices
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