Question on: Pyspark MLib Model want to deploy on docker, But the performance is out of expectation

Env: spark standalone on docker

Case: the trained pyspark model (randomforest) deployed on docker

Questions: When I use gunicorn to start the service, including (model loading, prediction) and expose API service with Python Flask framework, it seems pretty slow to call the api..

Could I get your help or any suggestions on spark model deployment? Thanks!