# Run prebuilt AI models and applications The AI/ML reference applications showcase practical scenarios for running models on a live camera feed, file source, or real-time streaming protocol (RTSP) on Qualcomm evaluation kits. The following sections explain how to run models using simple Python code for LiteRT models to user interface (UI) based applications on your own EVK hardware or cloud-hosted device. Run a LiteRT model on NPU Run a LiteRT model using the Qualcomm AI Runtime delegate with Python. https://docs.qualcomm.com/doc/80-80022-15B/topic/run-a-litert-model-using-delegate.html Experience AI applications with Qdemo UI Experience Qualcomm AI features with a simple to use GUI demonstration. https://docs.qualcomm.com/doc/80-80022-15B/topic/run-the-gui-demo.html Run a sample application using EVK Classify images with the IM SDK sample application and an EVK. https://docs.qualcomm.com/doc/80-80022-15B/topic/sample-app-evk.html Run a sample application using QDC Classify images with the default sample application and Qualcomm Device Cloud (QDC). https://docs.qualcomm.com/doc/80-80022-15B/topic/sample-app-qdc.html Last Published: Jun 23, 2026 [Previous Topic Overview](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/ai-ml-developer-workflow.md) [Next Topic Run a LiteRT model on NPU](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/run-a-litert-model-using-delegate.md)