AI Center
2021.10
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AI Center Installation Guide
Last updated Mar 11, 2024

Requirements

Overview

Note: Before choosing your deployment profile, see Supported use cases for single-node and multi-node installations.
What you needRequirementsConfigurationInstallation

One Linux machine

(RHEL 8.2, 8.3, 8.4, 8.5)

Single-node machine requirementsConfiguring the machines

SQL Server

(MS SQL 2016, 2017, 2019 - Enterprise and Standard)

-Configuring MS SQL Server-
DNS- -

Single-node Machine Requirements

This configuration is supported only for evaluation and demo scenarios.

Bundle

Minimum

Recommended

(v-)CPU total16 (v-)CPU32 (v-)CPU
RAM52 GiB96 GiB
Cluster disk for each node

256 GiB SSD

Min IOPS: 1100

256 GiB SSD

Min IOPS: 1100

Data disk

512 GiB SSD for online

1 TiB SSD for offline

Min IOPS 1100

2 TiB SSD

Min IOPS 1100

etcd disk

16 GiB SSD

Min IOPS: 240

16 GiB SSD

Min IOPS: 240

UiPath Bundle Disk

(For offline installation only, on the first server node)

512 GiB SSD

Min IOPS: 1100

512 GiB SSD

Min IOPS: 1100

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

BundleRequirement
(v-)CPU8 (v-)CPU
RAM52 GiB

Cluster disk

256 GiB SSD

Min IOPS: 1100

Data diskN/A
GPU RAM11 GiB
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 Document OCR Local Server on AI Center to process more than 2 million pages of documents a year, GPU is strongly recommended for a better product experience.
  • Overview
  • Single-node Machine Requirements
  • Additional Agent Node With GPU Support for Document Understanding

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