Accelerate your on‑device development
Easily integrate, optimize, and bundle ML models to deploy on Qualcomm devices.
Get started with AI Hub
A faster, smoother ML workflow
You pick your path to deploy
Download
a trained
model
Qualcomm® AI HubAI Hub
Models
Bundle
Qualcomm® AI HubAI Hub
Apps
Deploy
on device
Customize
Bundle
Bundle
Upload
a custom
trained model
Compile
Quantize
Qualcomm® AI HubAI Hub
Workbench
Validate
on device
Profile
on device
Download
an optimized
model
The products to take you there
Qualcomm® AI HubAI Hub
Models
Making ML models work on device can be messy. Choose from our collection of 175+ pre‑optimized models guaranteed to run on your Qualcomm device.
Qualcomm® AI HubAI Hub
Apps
Our repository of sample apps smooths the path from model to reality with step‑by‑step instructions and code templates for deploying apps to your device.
Qualcomm® AI HubAI Hub
Workbench
Optimize your custom trained model for Qualcomm devices with Workbench:
- Convert your trained PyTorch or ONNX models to any on‑device runtime: LiteRT, ONNX Runtime, or Qualcomm AI Stack
- Quantize and fine‑tune for accuracy
- Profile and run inference on 50+ types of Qualcomm devices hosted in our cloud
AI Hub Ecosystem
Collaborations designed to accelerate your AI journey
Optimize your ML for Qualcomm devices
Start using AI Hub