The platform for on-device AI, with optimized open source and licensed models, or bring your own. Validate performance on real Qualcomm devices.
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. 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. Optimize your custom trained model for Qualcomm devices with Workbench: Enabling intelligent connections and personalized applications across devices Endless possibilities on a powerful device, built for AI Unlocking a new era of mobility Deploy real‑time AI to various devices providing next‑generation user experiences
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Qualcomm AI Hub uses a tiered pricing model. Visit their website for current pricing details.
Key features include: 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, By Industry, Sample Apps By Use Cases, Communication, Learn, Discover.
Qualcomm AI Hub has a public GitHub repository with 968 stars.
