Portable Prediction Server¶
The Portable Prediction Server (PPS) is a remote DataRobot execution environment for DataRobot model packages (
MLPKG files) distributed as a self-contained Docker image. It can host one or more production models. The models are accessible through DataRobot's Prediction API for predictions and Prediction Explanations.
The Portable Prediction Server is a feature exclusive to DataRobot MLOps. Contact your DataRobot representative for information on enabling it.
|Portable Prediction Server||Downloading and configuring the Portable Prediction Server.|
|Portable Prediction Server running modes||Configuring the Portable Prediction Server for single-model or multi-model running mode.|
|Portable batch predictions||Scoring datasets in batches on a remote environment with the Portable Prediction Server.|
|Custom model Portable Prediction Server||Downloading and configuring the custom model Portable Prediction Server.|
DataRobot strongly recommends using an Intel CPU to run the Portable Prediction Server. Using non-Intel CPUs can result in prediction inconsistencies, especially in deep learning models like those built with Tensorflow or Keras.