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Last updated May 2, 2025

Platform Units

Overview

For more general information on Platform Units consumption for our AI products, check the Metering and charging logic and License tracking sections.

For specific details on Platform Units consumption for Process Mining, check out the License page in the Process Mining guide.

You can also allocate and track Platform Units consumption at tenant level. Check the Allocating licenses to tenants page from the Automation CloudTM guide for more details.

Note: By default, each tenant is allocated 0 Platform Units, and all Platform Units are consumed from the account pool. If there are no Platform Units allocated to the tenant, Platform Units are consumed from the organization account pool. In case all Platform units are consumed from the tenant pool, then the admin needs to allocate more on that specific tenant.

Metering and charging logic

General logic

This section contains specific information regarding Platform Units depending on the used activity, covering the cost for every AI product.

To calculate the overall consumption cost, the following formula is used:

prediction cost + hardware cost = consumption cost

For more information, check the following sections:

  • Prediction cost
  • Hardware cost

Prediction cost

To calculate the prediction cost, the following formula is used:

input size x unit cost of the model = prediction cost

Input size

ModelInput typeInput sizeComputed input size
Document UnderstandingTM (UiPath and Customer-Managed third party)Document1 pageNumber of pages in the input document
Communications MiningJSON1 messageNumber of messages per mailbox or ticketing system
AI Computer VisionImage1 imageAlways 1
Task MiningDataset1 datasetAlways 1
GenAI ActivitiesStringString size limit is different for each model
Other modelsJSON2000 characters = 1 unitCeil(length(input)/2000)
File5 MB = 1 unitCeil(size/5MB)
Files5 MB = 1 unitCeil(sum(size(input))/5MB)

Model used

ModelWhen we chargePlatform Unit cost
Document UnderstandingTM (UiPath and Customer-Managed third party) Per prediction For a list of all Document Understanding models, check the Metering & Charging Logic page from the Document Understanding guide.
AI Computer VisionPer prediction0
Models in preview (like UiPath Image Classification) Per prediction0
Task MiningPer successful pipeline1000
Communications MiningPer message uploaded, modified, or predicted0.2 - for more information on Communications Mining charging logic, check the official documentation.
UiPath Light Text classifierPer prediction0.04
UiPath Multilingual classifierPer prediction0.1
UiPath Custom Named Entity RecognitionPer prediction0.1
Open Source packages

Per prediction

0.02
GenAI ActivitiesPer execution0.2 - without Context grounding

0.4 - with Context grounding

Note: Except for Task Mining, running a pipeline or deploying an ML Skill only consumes Platform Units related to hardware consumption.

Hardware cost

The hardware cost at the time of deploying ML Skills is calculated as follows:

replicas x resource cost

The default replica count depends on the account type:

  • Enterprise account: 2
  • Other account types: 1
Note: Availability is increased by increasing the number of replicas. High Availability (HA) is not guaranteed if user reduces the number of replicas to 1.
HardwarePlatform Units Cost
0.5 CPU 2 GB RAM (default)0.2 Platform Unit / replica / hour
1 CPU 4 GB RAM0.4 Platform Units / replica / hour
2 CPU 8 GB RAM0.8 Platform Units / replica / hour
4 CPU 16 GB RAM1.6 Platform Units / replica / hour
6 CPU 24 GB RAM2.4 Platform Units / replica / hour
GPU4 Platform Units / replica / hour

For hardware cost related to Pipelines, check the following table.

HardwarePlatform Units Cost
CPU1.2 Platform Units / hour
GPU4 Platform Units / hour
Note: Any hour started is charged.
  • Overview
  • Metering and charging logic
  • General logic
  • Prediction cost
  • Hardware cost

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