# AI Hub

The [Qualcomm AI Hub](https://aihub.qualcomm.com)  offers a quick way to optimize a model, receive a compiled asset to deploy on a device, profile the model to verify performance, and run inference to test accuracy.

There are two options for trying a model on a Snapdragon X and X2 platforms. You can:

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> 1. Choose preoptimized models: Developers can explore and choose [preoptimized models](https://aihub.qualcomm.com/compute/models) from AI Hub. These models are specifically tailored for Snapdragon X and X2 platforms.
> 2. Bring your own model (BYOM): Developers can bring their own AI models directly to the AI Hub. [Here](https://app.aihub.qualcomm.com/docs/hub/getting_started.html#compute)  is an example illustrating of mobilenet\_v2 model to compile, profile, and run inference jobs.
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![../../_images/ai-hub-steps-no-links-04.png](data:image/png;base64,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)

Using one of the options above, developers can use the [AI Hub Workbench](https://aihub.qualcomm.com/get-started#workbench) to create the optimized AI model and test it on cloud-hosted Snapdragon X and X2 devices. After verifying the model and obtaining inference outcomes, the AI Hub provides the capability to download the model to a local device to deploy in the final AI application. Click [here](https://github.com/qualcomm/ai-hub-apps/tree/main/apps/object_detection_windows_cpp) for a sample object detection CLI application to deploy on Snapdragon X and X2 platforms.

Once you have a model that meets your requirements, you can:

> 
> 
> 1. Create a performance-oriented application using [Qualcomm AI Runtime (QNN)](https://docs.qualcomm.com/doc/80-62010-1/topic/qnn.html#ai-engine-direct-qnn), or
> 2. Prioritize scalability and enable the same model to run on various platforms, including x86-based systems and Snapdragon X and X2 using [ONNX Runtime ORT](https://docs.qualcomm.com/doc/80-62010-1/topic/ort.html#ort).

## More details

- [Overview of Qualcomm AI Hub](https://app.aihub.qualcomm.com/docs/hub/index.html)
- Supported target runtimes for [compiling models](https://app.aihub.qualcomm.com/docs/hub/compile_examples.html)
- [How to run Llama-v2-7B-Chat](https://github.com/qualcomm/ai-hub-models/tree/main/src/qai_hub_models/models/llama_v2_7b_chat)
- [How to run Llama-v3-8B-Chat](https://github.com/qualcomm/ai-hub-models/tree/main/src/qai_hub_models/models/llama_v3_8b_instruct)

Last Published: Jun 16, 2026

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