diff --git a/ADOPTERS.md b/ADOPTERS.md
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--- a/ADOPTERS.md
+++ b/ADOPTERS.md
@@ -9,6 +9,7 @@ See list of adopter types at the bottom of this page.
 
 | Organization/Company                                              | Project/Product                                               | Usage level              | Adopter type                     | Details                                                                   |
 |-------------------------------------------------------------------|---------------------------------------------------------------|--------------------------|----------------------------------|---------------------------------------------------------------------------|
+|[Alibaba Cloud (Aliyun)](https://www.alibabacloud.com/)| [Elastic Algorithm Service](https://www.alibabacloud.com/help/en/pai/user-guide/eas-model-serving/?spm=a2c63.p38356.0.0.2b2b6679Pjozxy) and [Elastic GPU Service](https://www.alibabacloud.com/help/en/egs/) | Beta | Service Provider | Both services use sub-projects of confidential containers to protect the user data and AI model from being exposed to CSP (For details mading.ma@alibaba-inc.com) |
 | [Edgeless Systems](https://www.edgeless.systems/)                 | [Contrast](https://github.com/edgelesssys/contrast)           | Beta                     | Service Provider / Consultancy   | Contrast runs confidential container deployments on Kubernetes at scale.                                |
 | [IBM](https://www.ibm.com/z)                                    | [IBM LinuxONE](https://www.ibm.com/linuxone)                  | Beta                     | Service Provider                 | Confidential Containers with Red Hat OpenShift Container Platform and IBM® Secure Execution for Linux (see [details](https://www.ibm.com/blog/confidential-containers-with-red-hat-openshift-container-platform-and-ibm-secure-execution-for-linux/))  |
 |NanhuLab|Trusted Big Data Sharing System |Beta |Service Provider |The system uses confidential containers to ensure that data users can utilize the data without being able to view the raw data.(No official website yet. For details: yzc@nanhulab.ac.cn) |