This topic describes how you are billed for Machine Learning Platform for AI (PAI).
PAI supports two activation methods that are subject to different billing rules.
You can perform a standalone activation for PAI. Standalone activations are free-of-charge. When you activate PAI, a default workspace is created. However, you are charged when you use PAI modules. You can view the billing details of the modules in PAI bills. For more information about the billing details of each PAI module, see the "Billing description" section of this topic.
Activate PAI together with other cloud services
You can activate PAI together with other cloud services, such as Object Storage Service (OSS), MaxCompute, and DataWorks. Each cloud service is separately billed. For more information about the billing details of these services, see the following topics:
OSS: Storage fees
The following section describes the billing rules of PAI modules:
iTAG is an intelligent data labeling platform. You can create data labeling tasks for the following data formats: image, text, video, and audio. You can also create multimodal data labeling tasks.
None. iTAG is available for free trial.
Machine Learning Designer (previously known as Machine Learning Studio)
Machine Learning Designer is a cloud-native visual modeling tool that you can use to develop machine learning algorithms.
Data Science Workshop (DSW) is a cloud-based integrated development environment (IDE) that integrates open source JupyterLab and provides a variety of plug-ins to support custom development.
Deep Learning Container (DLC) is a cloud-native platform for basic AI computing jobs. DLC provides an elastic, stable, user-friendly, and high-performance environment for model training.
You can deploy a trained model as an online inference service or an AI-powered web application.
This module provides features such as multimedia analysis, and smart retail.