The Model Repository service process performance can be affected if the Model repository database is hosted on a remote server. Model Repository Service operations that require communication between the Model repository and the Model Repository Service on a high-latency network could slow down the Model Repository Service performance.

The Model Repository Service process can consume large amounts of memory while processing a large number of concurrently logged in users. This can cause a large number of network connections to be open between the Model Repository Service and other services such as the Data Integration Service or the Analyst Service.