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UiPath AI Center™

UiPath AI Center™

Multi-node requirements and installation

Overview


📘

Note:

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

What you need

Requirements

Configuration

Installation

One Linux machine
(RHEL 8.2 or above)

Multi-node machine requirements

Configuring the machines

Online multi-node installation
Offline multi-node installation

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

Configuring MS SQL Server

DNS

Configuring the DNS

Load balancer

Configuring the load balancer

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

Multi-node machine requirements


This is the only configuration supported for production deployments.

Bundle

Minimum

Recommended

Node count

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.

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 total

48 (v-)CPU

64 (v-)CPU

Minimum (v-)CPU per node

12 (v-)CPU

16 (v-)CPU

RAM total

96 GiB

144 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 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 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 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.

Updated 3 days ago

Multi-node requirements and installation


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