ai-center
2022.4
true
AI Center Installation Guide
Automation CloudAutomation SuiteStandalone
Last updated Jun 6, 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, 8.6)

Multi-node machine requirementsConfiguring the machines

SQL Server

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

-Configuring MS SQL Server-
DNS--
Load balancer-Configuring the load balancer-

Multi-node machine requirements

This is the only configuration supported for production deployments.

BundleMinimumRecommended
Node countAt least 3 server nodes. There must be an odd number of server nodes in a cluster to have increased fault tolerance

Any number of agent nodes.

At least 3 server nodes. There must be an odd number of server nodes in a cluster to have increased fault tolerance

Any number of agent nodes.

(v-)CPU total48 (v-)CPU64 (v-)CPU
Minimum (v-)CPU per node16 (v-)CPU16 (v-)CPU
RAM total96 GiB144 GiB
Cluster disk for each node

256 GiB SSD

Min IOPS: 1100

256 GiB SSD

Min IOPS: 1100

Data disk for each server node

2 TiB SSD

Min IOPS 1100

2 TiB SSD

Min IOPS 1100

etcd disk for each server node

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 minimum requirements above is enough for three HA skills (two replicas) and one pipeline running in parallel with the default configuration.

Additional agent node with GPU support for Document Understanding

Bundle

Requirement

(v-)CPU

8 (v-)CPU

RAM

52 GiB

Cluster disk

256 GiB SSD

Min IOPS: 1100

Data disk

N/A

GPU RAM

11 GiB

Advanced storage and compute requirements

Use

CPU

RAM (GiB)

GPU

Hardware usage right after install

30 (for minimum configuration)

33 (for recommended configuration)

48

0

Minimum for serving (ML Skill, one replica)

0.6

2

0

Minimum for Training (Pipeline)

1

4

0

Document Understanding model Serving (ML Skill, one replica)

1

4

0

Document Understanding model Training

2

24

1

Note: Trainable Document Understanding ML Packages provided by UiPath will work on both CPU or GPU. For 2021.10, training on GPU is at least 5 times slower than training on CPU. Also, please know that training on CPU is only supported for datasets up to 5000 pages in size. 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.

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