# AI Hub: Qualcomm IM SDK This section explains how to use AI Hub models and labels with gstreamer commands on Qualcomm Linux Development Kits. Prerequisites 1. Download model files from [IoT - Qualcomm AI Hub](https://aihub.qualcomm.com/iot/models) 2. Filter by **Chipset** and select **Qualcomm QCS6490** for RB3Gen2 and **QualcommQCS8550** for QCS9075. 3. Download the label files from [ai-hub-models/qai_hub_models/labels at main ยท quic/ai-hub-models (github.com)](https://github.com/quic/ai-hub-models/tree/main/qai_hub_models/labels) 4. Push the model and label to the `/opt/directory` on the target device . Note The constants given for each of the models may change subject to AI Hub models being updated periodically. See [Integrate AI Hub models in an application](https://docs.qualcomm.com/doc/80-70017-15B/topic/integrate-ai-hub-models.html) for model constant information. Last Published: Jan 21, 2026 [Previous Topic Steps to update BitBake files for plugin compilation](https://docs.qualcomm.com/bundle/publicresource/80-70017-15B/topics/development-process-for-new-plugin.md) [Next Topic Image classification](https://docs.qualcomm.com/bundle/publicresource/80-70017-15B/topics/image-classification.md)