Adds note.

Author: szabosteve

explore-analyze/machine-learning/nlp/ml-nlp-elser.md

@@ -32,7 +32,10 @@ This approach provides a more understandable search experience compared to vecto
 To use ELSER, you must have the [appropriate subscription](https://www.elastic.co/subscriptions) level for semantic search or the trial period activated.
 
 ::::{note}
-The minimum dedicated ML node size for deploying and using the ELSER model is 4 GB in {{ech}} if [deployment autoscaling](../../../deploy-manage/autoscaling.md) is turned off. Turning on autoscaling is recommended because it allows your deployment to dynamically adjust resources based on demand. Better performance can be achieved by using more allocations or more threads per allocation, which requires bigger ML nodes. Autoscaling provides bigger nodes when required. If autoscaling is turned off, you must provide suitably sized nodes yourself.
+
+- You can use the ELSER model through the [Elastic {{infer-cap}} Service (EIS)](/explore-analyze/elastic-inference/eis.md). If you use ELSER on EIS, you don't need to manage the infrastructure and resources required by the ELSER model as it doesn't use the resources of your nodes.
+
+- The minimum dedicated ML node size for deploying and using the ELSER model is 4 GB in {{ech}} if [deployment autoscaling](../../../deploy-manage/autoscaling.md) is turned off. Turning on autoscaling is recommended because it allows your deployment to dynamically adjust resources based on demand. Better performance can be achieved by using more allocations or more threads per allocation, which requires bigger ML nodes. Autoscaling provides bigger nodes when required. If autoscaling is turned off, you must provide suitably sized nodes yourself.
 ::::
 
 Enabling trained model autoscaling for your ELSER deployment is recommended. Refer to [*Trained model autoscaling*](../../../deploy-manage/autoscaling/trained-model-autoscaling.md) to learn more.