# Deploy Qualcomm IM SDK as a container Build Qualcomm IM SDK within a [Docker container](https://docs.docker.com/) and prepare the final device Docker image, which you deploy to the Qualcomm Linux enabled Edge device. This allows you to use the AI workflow microservices to build various types of AI pipelines using Qualcomm IM SDK. Note This section isn’t applicable for the QLI 2.0 RC2 release. **Figure : Qualcomm IM SDK within a container - architecture** Note This section isn’t applicable for the Ubuntu Server. The following table lists the components that are required to build the Qualcomm IM SDK Docker container from the source code: Components for Qualcomm IM SDK Docker container | Component | Description | | --- | --- | | Platform eSDK |

Provides the platform dependencies for Qualcomm IM SDK.

Contains platform libraries and header files.

| | Qualcomm IM SDK source code | Contains the source code of the plugins and recipe files, which build and define the compile time dependencies. | | solutions-microservices | Provides the AI pipelines that are required for microservices. | | sdk-tools |

Provides the Docker files and a set of helper scripts to generate the Qualcomm IM SDK device Docker container.

Provides the run commands for the reference Docker, and the YAML compose files to run the Docker containers.

Maps all the required platform devices and libraries to provide hardware acceleration inside the Docker container.

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