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The Qualcomm Neural Processing SDK is a developer toolkit that helps optimize and deploy trained neural networks on Qualcomm AI-enabled devices, enabling on-device AI without cloud connectivity as part of the Qualcomm AI Stack. It provides Android and Linux runtimes, APIs for loading, executing and scheduling models, and desktop tools to convert models from TensorFlow, PyTorch, Keras and ONNX into the .dlc Deep Learning Container for the Snapdragon NPE, with acceleration on Hexagon NPU, Adreno GPUs and Kryo CPUs. The typical workflow is to design and train a model in a supported framework, convert it to .dlc, and run it on Qualcomm runtimes across mobile, compute, automotive, IoT, AR, drones and robotics, requiring familiarity with the frameworks and Android Java development.
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