# Portable Prediction Server
URL: https://docs.datarobot.com/en/docs/classic-ui/predictions/port-pred/pps/index.html

> Learn how to configure and execute the Portable Prediction Server.

# Portable Prediction Server

> [!NOTE] Availability information
> The Portable Prediction Server is a premium feature exclusive to DatRobot MLOps. Contact your DataRobot representative or administrator for information on enabling this feature.

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.

| Topic | Describes |
| --- | --- |
| 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. |

> [!NOTE] CPU considerations
> 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. This includes ARM architecture processors (e.g., AArch32 and AArch64).

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