How to use Qualcomm AI Hub
summary
Qualcomm AIHub compiles and quantizes PyTorch/ONNX models into TF Lite, QNN or ONNX assets and runs compile job, profile job, inference job workflows to validate on real hardware (over 100 device images from Pixel 3 up to S24 and Snapdragon X Elite). The site reports latency, memory, per-layer compute-unit breakdown and produced a semantic-segmentation FFNet pipeline with PSNR ~78; downloadable assets plus sample Android apps run on-device with provided runtime binaries.
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chapters (12)
- 0:00Qualcomm AI Hub intro
- 1:47Why on-device AI
- 3:10AI Hub challenges solved
- 4:56Pre-optimized models
- 7:05Developer workflow
- 11:43AI Hub APIs & compile
- 13:31Demo setup prereqs
- 17:30Compile & profile jobs
- 20:19Validate accuracy & perf
- 21:45Deploy to devices
- 23:55Live semantic segmentation
- 24:38Resources & support
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