diff --git a/AI/cuda/11.8.0-cudnn8.9.0/22.03-lts/Dockerfile b/AI/cuda/11.8.0-cudnn8.9.0/22.03-lts/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..e2f29ea2b91638b566d83ba6f71c107ea7da2158
--- /dev/null
+++ b/AI/cuda/11.8.0-cudnn8.9.0/22.03-lts/Dockerfile
@@ -0,0 +1,41 @@
+ARG BASE=openeuler/openeuler:22.03
+
+FROM ${BASE} AS cuda-installer
+
+ARG TARGETPLATFORM
+
+ENV PATH=${PATH}:/usr/local/cuda-11.8/bin
+ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda-11.8/lib64
+
+RUN yum update -y && \
+    yum install -y \
+        wget \
+        gcc \
+        make \
+        xz-devel \
+    && yum clean all \
+    && rm -rf /var/cache/yum
+
+RUN \
+    if [ "${TARGETPLATFORM}" = "linux/arm64" ]; then \
+        CUDA_URL="https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux_sbsa.run"; \
+    else \
+        CUDA_URL="https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"; \
+    fi && \
+    wget --quiet ${CUDA_URL} -O ~/cuda_11.8.0_520.61.05_linux.run && \
+    chmod +x ~/cuda_11.8.0_520.61.05_linux.run && \
+    ~/cuda_11.8.0_520.61.05_linux.run --toolkit --silent && \
+    rm -f ~/cuda_11.8.0_520.61.05_linux.run
+
+RUN if [ "${TARGETPLATFORM}" = "linux/arm64" ]; then \
+        CUDNN_URL="https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.9.0.131_cuda11-archive.tar.xz"; \
+    else \
+        CUDNN_URL="https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.0.131_cuda11-archive.tar.xz"; \
+    fi && \
+    mkdir -p /tmp/cudnn && \
+    wget --quiet ${CUDNN_URL} -O /tmp/cudnn.tar.xz && \
+    tar -xvf /tmp/cudnn.tar.xz -C /tmp/cudnn --strip-components=1 && \
+    cp /tmp/cudnn/include/cudnn.h /usr/local/cuda-11.8/include && \
+    cp /tmp/cudnn/lib/libcudnn* /usr/local/cuda-11.8/lib64 && \
+    chmod a+r /usr/local/cuda-11.8/include/cudnn.h /usr/local/cuda-11.8/lib64/libcudnn* && \
+    rm -rf /tmp/cudnn*
diff --git a/AI/cuda/README.md b/AI/cuda/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8cfcfd32354140932cf0adedefaac8a82c3cee06
--- /dev/null
+++ b/AI/cuda/README.md
@@ -0,0 +1,62 @@
+# Quick reference
+
+- The official CUDA docker image.
+
+- Maintained by: [openEuler CloudNative SIG](https://gitee.com/openeuler/cloudnative).
+
+- Where to get help: [openEuler CloudNative SIG](https://gitee.com/openeuler/cloudnative), [openEuler](https://gitee.com/openeuler/community).
+
+# CUDA | openEuler
+Current CUDA docker images are built on the [openEuler](https://repo.openeuler.org/). This repository is free to use and exempted from per-user rate limits.
+
+A heterogeneous computing platform for general-purpose parallel computing that provides layered APIs and high-level libraries to help you quickly build high-performance computing applications and AI services based on NVIDIA GPUs.
+
+Learn more about on [CUDA Document](https://docs.nvidia.com/cuda/).
+
+# Supported tags and respective Dockerfile links
+The tag of each `cuda` docker image is consist of the complete software stack version. The details are as follows
+|    Tag   |  Currently  |   Architectures  |
+|----------|-------------|------------------|
+|[11.8.0-cudnn8.9.0-oe2203lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/cuda/11.8.0-cudnn8.9.0/22.03-lts/Dockerfile)| CUDA 11.8.0 with cudnn 8.9.0 on openEuler 22.03-LTS | arm64,amd64 |
+
+# Usage
+In this usage, users can select the corresponding `{Tag}` and `container startup options` based on their requirements.
+
+- Pull the `openeuler/cudas` image from docker
+
+	```bash
+	docker pull openeuler/cuda:{Tag}
+	```
+
+- Start a cann instance
+
+	```bash
+	docker run \
+        --name my-cuda \
+        --gpus all \
+        -it openeuler/cuda:{Tag} bash
+	```
+
+- Container startup options
+
+	| Option | Description |
+	|--|--|
+    | `--name my-cuda` | Names the container `my-cuda`. |
+    | `--gpus all` | The specified container can access all GPU devices, you can also specify a specific GPU, such as --gpus '"device=0,1"' |
+    | `-it` | Starts the container in interactive mode with a terminal (bash). |
+    | `openeuler/cuda:{Tag}` | Specifies the Docker image to run, replace `{Tag}` with the specific version or tag of the `openeuler/cuda` image you want to use. |
+
+- View container running logs
+
+	```bash
+	docker logs -f my-cuda
+	```
+
+- To get an interactive shell
+
+	```bash
+	docker exec -it my-cuda /bin/bash
+	```
+
+# Question and answering
+If you have any questions or want to use some special features, please submit an issue or a pull request on [openeuler-docker-images](https://gitee.com/openeuler/openeuler-docker-images).
\ No newline at end of file
diff --git a/AI/cuda/doc/image-info.yml b/AI/cuda/doc/image-info.yml
new file mode 100644
index 0000000000000000000000000000000000000000..e95603e5f95e9f2f68f6708b94db66a52d5c4976
--- /dev/null
+++ b/AI/cuda/doc/image-info.yml
@@ -0,0 +1,62 @@
+name: cuda
+category: ai
+description: CUDA（Compute Unified Device Architecture）是由NVIDIA公司开发的并行计算平台和编程模型，它允许开发者利用NVIDIA GPU进行通用计算以加速应用程序。通过CUDA，开发者可以显著提升科学计算、机器学习等领域应用的性能。
+environment: |
+  本应用在Docker环境中运行，安装Docker执行如下命令
+  ```
+  yum install -y docker
+  ```
+tags: |
+  CUDA镜像的Tag由其版本信息和基础镜像版本信息组成，详细内容如下
+
+  |    Tag   |  Currently  |   Architectures  |
+  |----------|-------------|------------------|
+  |[cuda11.8.0-cudnn8.9.0-oe2203lts](https://gitee.com/openeuler/openeuler-docker-images/blob/master/AI/cuda/11.8.0-cudnn8.9.0/22.03-lts/Dockerfile)| CUDA 11.8.0 on openEuler 22.03-LTS | amd64, arm64 |
+
+download: |
+  拉取镜像到本地
+  ```
+  docker pull openeuler/cuda:{Tag}
+  ```
+
+usage: |
+  - 启动容器
+    ```
+    docker run \
+        --name my-cuda \
+        --gpus all \
+        -it openeuler/cuda:{Tag} bash
+    ```
+    用户可根据自身需求选择对应版本的`{Tag}`、对应的NPU设备`{device}`以及容器启动的其他参数配置。
+  
+  - 参数说明
+    | 配置项 | 描述 |
+    |--|--|
+    | `--name my-cann` | 容器名称。|
+    | `--gpus all` | 指定容器可以访问所有GPU设备，也可指定具体的GPU，如 --gpus '"device=0,1"' |
+    | `-it` | 以交互模式启动容器。 |
+    | `openeuler/cuda:{Tag}` | 指定要运行的镜像为 `openeuler/cuda`，其中` {Tag}` 是需要替换的镜像标签。 |
+
+  - 容器测试
+
+    查看运行日志
+    ```
+    docker logs -f my-cuda
+    ```
+
+    使用shell交互
+    ```
+    docker exec -it my-cuda /bin/bash
+    ```
+
+license: Apache-2.0 license
+similar_packages:
+  - CANN: CANN是华为针对AI场景推出的异构计算架构，对上支持多种AI框架，对下服务AI处理器与编程，发挥承上启下的关键作用，是提升昇腾AI处理器计算效率的关键平台。
+dependency:
+  - nvcc
+  - libcudart.so
+  - libcublas.so
+  - libcufft.so
+  - libcurand.so
+  - libcusparse.so
+
diff --git a/AI/cuda/doc/picture/logo.png b/AI/cuda/doc/picture/logo.png
new file mode 100644
index 0000000000000000000000000000000000000000..14534f63fa19bd2af2082ee20b6a87783923ec7f
Binary files /dev/null and b/AI/cuda/doc/picture/logo.png differ
diff --git a/AI/cuda/meta.yml b/AI/cuda/meta.yml
new file mode 100644
index 0000000000000000000000000000000000000000..1efed1e13d78b809a7c676c6723466efed9ebd59
--- /dev/null
+++ b/AI/cuda/meta.yml
@@ -0,0 +1,2 @@
+11.8.0-cudnn8.9.0-oe2203lts:
+  path: 11.8.0-cudnn8.9.0/22.03-lts/Dockerfile
\ No newline at end of file
diff --git a/AI/image-list.yml b/AI/image-list.yml
index ac2fc0db053fbd43f25c7291fad1a1460e557b3c..fed6f44f3d39842a855f8bece6e7c21066bfd2c7 100644
--- a/AI/image-list.yml
+++ b/AI/image-list.yml
@@ -69,3 +69,4 @@ images:
   text2sql-ui: opea/text2sql-ui
   text2image: opea/text2image
   text2image-ui: opea/text2image-ui
+  cuda: cuda