# Qualcomm AI Engine Direct SDK

Source: [https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn.html](https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn.html)

Qualcomm AI Engine Direct SDK (also known as QNN SDK) offers low-level APIs to achieve
            the best performance for AI workloads on Qualcomm platforms. QNN SDK supports models
            from frameworks, such as PyTorch, TensorFlow, and Onnx. QNN SDK provides offline tools
            to convert, quantize, optimize, and deploy models on Qualcomm hardware with
            acceleration.

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Setup

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                            [Download QNN](https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn-download.html)

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    <style>.svg-5 .cls-1 { fill: none; stroke: #3253dc; stroke-linecap: round; stroke-linejoin: round; stroke-width: 1.5px }</style>
  </defs>
  <path class="cls-1" d="M4.7,9.4h11.7M16.4,9.4l-5.8-5.8M16.4,9.4l-5.8,5.8"></path>
</svg>
[Setup
                                QNN](https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn-setup.html)

Customize

<?xml version="1.0" encoding="UTF-8"?>

<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="21" height="18" viewbox="0 0 21 18">
  <defs>
    <style>.svg-3 .cls-1 { fill: none; stroke: #3253dc; stroke-linecap: round; stroke-linejoin: round; stroke-width: 1.5px }</style>
  </defs>
  <path class="cls-1" d="M4.7,9.4h11.7M16.4,9.4l-5.8-5.8M16.4,9.4l-5.8,5.8"></path>
</svg>

                            [Convert/Quantize Model](https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn-port-model.html#concept_vjp_prt_pbc__section_l3t_prt_pbc_spyrz_06-03-24-1311-7-406)

<?xml version="1.0" encoding="UTF-8"?>

<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="21" height="18" viewbox="0 0 21 18">
  <defs>
    <style>.svg-6 .cls-1 { fill: none; stroke: #3253dc; stroke-linecap: round; stroke-linejoin: round; stroke-width: 1.5px }</style>
  </defs>
  <path class="cls-1" d="M4.7,9.4h11.7M16.4,9.4l-5.8-5.8M16.4,9.4l-5.8,5.8"></path>
</svg>

                            [Generate QNN Model](https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn-port-model.html#concept_vjp_prt_pbc__section_g5f_1tt_pbc_spyrz_06-03-24-1321-48-562)

Run Inference

<?xml version="1.0" encoding="UTF-8"?>

<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="21" height="18" viewbox="0 0 21 18">
  <defs>
    <style>.svg-4 .cls-1 { fill: none; stroke: #3253dc; stroke-linecap: round; stroke-linejoin: round; stroke-width: 1.5px }</style>
  </defs>
  <path class="cls-1" d="M4.7,9.4h11.7M16.4,9.4l-5.8-5.8M16.4,9.4l-5.8,5.8"></path>
</svg>
 
                            [Execute
                                Model](https://docs.qualcomm.com/doc/80-70015-15B/topic/qnn-run-model.html)

API Reference

<?xml version="1.0" encoding="UTF-8"?>

<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="21" height="18" viewbox="0 0 21 18">
  <defs>
    <style>.svg-7 .cls-1 { fill: none; stroke: #3253dc; stroke-linecap: round; stroke-linejoin: round; stroke-width: 1.5px }</style>
  </defs>
  <path class="cls-1" d="M4.7,9.4h11.7M16.4,9.4l-5.8-5.8M16.4,9.4l-5.8,5.8"></path>
</svg>

                            [C/C++](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/api.html)

Last Published: Jan 21, 2026

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