Register and manage model services in EMR Serverless Spark-E-MapReduce(EMR)-阿里云帮助中心

EMR Serverless Spark provides built-in models that you can invoke directly with AI Functions. You can also register external model services that integrate with Alibaba Cloud Model Studio, PAI-EAS, or self-hosted endpoints.

Prerequisite

To use this feature, activate AI Center first.

Built-in models

The following models are built into EMR Serverless Spark. You can invoke them directly with AI Functions without registration.

Model service name	Model name
qwen3.6-plus	qwen3.6-plus
qwen3.5-plus	qwen3.5-plus
qwen-plus	qwen-plus
text-embedding-v4	text-embedding-v4
tongyi-embedding-vision-plus	tongyi-embedding-vision-plus

Note

The tongyi-embedding-vision-plus AI Function is available only in the following regions: China (Beijing), China (Shanghai), China (Hangzhou), China (Shenzhen), China (Ulanqab), China (Chengdu), and China (Zhangjiakou).

Add an external model service

If the built-in models do not meet your needs, follow these steps to register an external model service.

Go to the model service page.
1. Log in to the E-MapReduce console.
2. In the left-side navigation pane, select EMR Serverless > Spark.
3. On the Spark page, click the name of the target workspace.
4. On the EMR Serverless Spark page, click AI Center > Model Service in the left-side navigation pane.

On the Model Service tab, click Create External Model Service and configure the following parameters:

Parameter	Example	Description
model service name	`my_qwen_service`	Used as the `endpointName` input parameter in a subsequent `AI Function` call. The name must be unique within the workspace and cannot be modified after creation.
endpoint	`http://12*******39.vpc.cn-hangzhou.pai-eas.aliyuncs.com/api/predict/<ServiceName>/v1`	Enter the endpoint of the external model service. If you use a PAI-EAS model, append /v1 to the end of the endpoint. Note If the model service provides a public network endpoint, you must configure a network connection with public network access to allow the Spark job to use this model. For more information, see network connection.
model name	`Qwen3.5-Plus`	The model name to use when you call the service.
model type	`Chat`	Select `Chat` or `Embedding` based on the deployed model type.
API key	`nMzI**********************Zg==`	The API key for the model service.
Description	The latest Qwen multimodal model service	A brief description for easier identification.

After you confirm the settings are correct, click create to register the model service.

Prerequisite

Built-in models

Add an external model service

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