Hello,

Any solutions found for this issue?

I'm serving up a large number of models at a time, but since we converted to PySpark (due to our data demands), the mlflow.spark.load_model() is taking hours.

Part of the reason to switch to spark was to help with speed as we scale, but this feels like a huge trade-off.

Any suggestions would be helpful! Thank you!