Overview

---

📘

Note:

Before choosing your deployment profile, see Supported use cases for single-node and multi-node installations.

Note: If you use a proxy, follow this guide to configure the environment with the proxy: Configuring a proxy server.

Single-node machine requirements

---

This configuration is supported only for evaluation and demo scenarios.

Note: Following the requirements above is enough for three skills and one pipeline running in parallel with the default configuration.

Additional agent node with GPU support for Document Understanding

Note: Trainable Document Understanding ML Packages provided by UiPath will work on both CPU or GPU for datasets up to 500 images in size. GPU is strongly recommended to achieve faster training times and better model performance. Validation Station retraining loop is not supported on deployments without a GPU, due to the fact that dataset sizes increase too fast and may hit a compute wall with CPU very quickly. If you run UiPath OCR (non-edge version) on AI Center to process more than 2 million pages of documents a year, GPU is strongly recommended for a better product experience.