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Platform For AI:Billing of Designer

Last Updated:Apr 08, 2024

This topic describes how Machine Learning Designer is billed.

Billable resources

The following figure shows how Machine Learning Designer is billed.计费项

Billing methods

The following table describes how the machine learning components are billed.

General machine learning components

Billable item

Billing rule

Billing method

How to stop billing

Runtime of the component

Resources consumed by the components are calculated on a pay-as-you-go basis by billable hour.

Pay-as-you-go

Stops running the component.

General machine learning components

General machine learning components can be billed only on a pay-as-you-go basis. The following table describes the billing details.

Billing method

Billing formula

Unit price

Billing duration

Scaling description

Usage notes

Pay-as-you-go

The consumed resources are calculated based on billable hours.

Number of billable hours = Max (Number of vCPUs × Billing duration, Memory size (GB) × Billing duration/4). The billing duration is measured in hours.

The following formula shows how to calculate the number of billable hours when you use 2 vCPUs and 5 GB of memory for 1 hour and 30 minutes:

Number of billable hours: Max (2 × (1 + 30/60), 5 × (1 + 30/60)/4) = 3

The following formula describes how to calculate the bill amount:

Bill amount = Number of billable hours × Unit price

For more information, see the Billable hour pricing section of this topic.

Note

You must refer to the bills in the Machine Learning Platform for AI (PAI) console to obtain the actual prices.

  • Billing start time: the time when the component starts to run.

  • Billing end time: the time when the component stops running.

N/A

If you activate PAI together with MaxCompute, when you run the SQL Script, JOIN, UNION, or Filtering and Mapping component, you are charged for the consumed MaxCompute resources. For more information, see Overview.

Table 1. Billable hour pricing

Module

Description

Pricing (USD per billable hour)

Data preprocessing

Includes the following types of components: data preprocessing and feature engineering.

0.16

Data analysis

Includes the following types of components: statistical analysis, machine learning, time series, network analysis, and financials.

0.21

Text analysis

Includes components that use text analysis algorithms.

0.27

Billing examples

For more information about the billing examples, see Billing example of Machine Learning Designer.

Overdue payments

Causes

The balance of your Alibaba Cloud account is insufficient.

  • Subscription: Your account balance is insufficient to pay for subscription fees.

  • Pay-as-you-go: Your account balance is less than the bill amount of the previous billing cycle. If the system fails to deduct fees, your account enters the overdue state.

Service suspension

  • In PAI, bills are generated within 4 hours after the previous billing cycle ends and displayed by using the T + 1 settlement method. If your account enters the overdue state, you are notified by text message.

  • After your account enters the overdue state, your PAI resources remain available for 24 hours. After 24 hours, your resources are stopped.

Note

To ensure service continuity, we recommend that you top up your account in a timely manner.

View overdue payments

  1. Log on to the Expenses and Costs console.

  2. On the Account Overview page, view the overdue payments.账户总览

Refund policy

Fees incurred in pay-as-you-go mode cannot be refunded.