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@qualcomm

Qualcomm Technologies, Inc.

At Qualcomm Technologies, Inc., we transform how the world connects, computes and communicates.

At Qualcomm Technologies, Inc., we transform how the world connects, computes and communicates. We are on a journey to embrace open source, its upstream contribution model and industry standards to make it easy for developers to innovate, build and scale.

Featured on-device AI projects

  • AI Model Efficiency Toolkit (AIMET): Advanced quantization and compression techniques to optimize trained neural networks for efficient inference
  • GenieX SDK: A high‑performance on-device inference framework that runs the latest multimodal models locally on NPU/GPU/CPU across common platforms
  • Qualcomm® AI Hub Models: A collection of deployment-ready ML models optimized for on-device performance and ready to run on Qualcomm devices

Explore our organizations and projects

Join our Discord community to directly engage with Qualcomm experts, connect with other developers working with Qualcomm technology, and stay updated on the latest developer-focused news and product demos: discord.com/invite/QualcommDeveloperNetwork

Read our Open Source Security Policy to learn how we handle vulnerability reporting, assessment, remediation, and disclosure across our open source projects.

Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. AIMET and AudioReach are products of Qualcomm Innovation Center, Inc.

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  1. GenieX GenieX Public

    Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

    Go 8.5k 1.1k

  2. aimet aimet Public

    AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

    Python 2.7k 476

  3. ai-hub-models ai-hub-models Public

    Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

    Python 1.2k 215

  4. ai-hub-apps ai-hub-apps Public

    The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

    Python 473 128

  5. eld eld Public

    Embedded Linker (eld)

    C++ 261 87

  6. qai-appbuilder qai-appbuilder Public

    QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified interfaces for running mod…

    Python 254 57

Repositories

Showing 10 of 165 repositories
  • qai-appbuilder Public

    QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified interfaces for running models on the NPU/HTP.

    qualcomm/qai-appbuilder's past year of commit activity
    Python 254 57 5 0 Updated Oct 30, 2026
  • eld Public

    Embedded Linker (eld)

    qualcomm/eld's past year of commit activity
    C++ 261 BSD-3-Clause 87 286 (11 issues need help) 111 Updated Oct 30, 2026
  • qualcomm/cpullvm-toolchain's past year of commit activity
    LLVM 23 36 7 37 Updated Oct 30, 2026
  • qcom-reusable-workflows Public

    Qualcomm reusable workflows

    qualcomm/qcom-reusable-workflows's past year of commit activity
    Python 4 BSD-3-Clause 18 5 9 Updated Oct 30, 2026
  • qemu Public Forked from qemu/qemu

    Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

    qualcomm/qemu's past year of commit activity
    C 32 7,546 0 16 Updated Oct 30, 2026
  • qhwi Public

    QHWI (Qualcomm Hardware Interface) is a modern, high performance graphics API abstraction library over multiple graphics backends

    qualcomm/qhwi's past year of commit activity
    C++ 13 BSD-3-Clause-Clear 1 0 5 Updated Oct 30, 2026
  • GenieX Public

    Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

    qualcomm/GenieX's past year of commit activity
    Go 8,482 BSD-3-Clause 1,074 48 27 Updated Oct 30, 2026
  • geniex-proc Public

    A high-performance C++ library for multimodal data preprocessing, designed to efficiently prepare image, audio, video, and text data for local inference models (GGML, NPU, etc.).

    qualcomm/geniex-proc's past year of commit activity
    C++ 3 5 0 1 Updated Oct 30, 2026
  • pytactl Public
    qualcomm/pytactl's past year of commit activity
    Python 6 BSD-3-Clause 12 1 2 Updated Oct 30, 2026
  • sigma-dut Public

    sigma_dut - WFA Sigma DUT/CA

    qualcomm/sigma-dut's past year of commit activity
    C 36 35 4 2 Updated Oct 30, 2026