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Expand Up @@ -65,7 +65,7 @@ size of a {ml} node. Creating {ml-jobs} with model memory limits larger than the
maximum node size can support is not allowed, as autoscaling cannot add a node
big enough to run the job. On a self-managed deployment, you can set
`xpack.ml.max_model_memory_limit` according to the available resources of the
{ml} node. This prevents you from you creating jobs with model memory limits too
{ml} node. This prevents you from creating jobs with model memory limits too
high to open in your cluster.

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