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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

    Rust 8.4k 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 468

  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 213

  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 464 124

  5. eld eld Public

    Embedded Linker (eld)

    C++ 261 86

  6. fastrpc fastrpc Public

    FastRPC is Qualcomm's userspace library that facilitates efficient remote procedure calls between the CPU and DSP for high-performance computing.

    C 119 78

Repositories

Showing 10 of 162 repositories
  • qualcomm/cpullvm-toolchain's past year of commit activity
    LLVM 22 36 7 33 Updated Oct 10, 2026
  • eld Public

    Embedded Linker (eld)

    qualcomm/eld's past year of commit activity
    C++ 261 BSD-3-Clause 86 248 (13 issues need help) 105 Updated Oct 10, 2026
  • llama.cpp Public Forked from ggml-org/llama.cpp

    LLM inference in C/C++

    qualcomm/llama.cpp's past year of commit activity
    C++ 15 MIT 24,783 0 0 Updated Oct 10, 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 31 7,440 0 9 Updated Oct 10, 2026
  • 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 247 55 5 3 Updated Oct 10, 2026
  • 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.

    qualcomm/ai-hub-apps's past year of commit activity
    Python 464 BSD-3-Clause 125 3 (1 issue needs help) 0 Updated Oct 10, 2026
  • 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.

    qualcomm/ai-hub-models's past year of commit activity
    Python 1,226 BSD-3-Clause 213 10 8 Updated Oct 10, 2026
  • aimet Public

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

    qualcomm/aimet's past year of commit activity
    Python 2,726 468 26 5 Updated Oct 10, 2026
  • software-kit-for-qualcomm-cloud-ai-100 Public

    Software kit for Qualcomm Cloud AI 100

    qualcomm/software-kit-for-qualcomm-cloud-ai-100's past year of commit activity
    C++ 19 7 0 0 Updated Oct 10, 2026
  • libqcperf Public

    libqcperf is a lightweight, open‑source library for profiling system performance metrics. It enables flexible trace collection across diverse metrics, easy extension via new use cases or open‑source APIs, and a scalable foundation for large‑scale profiling across platforms. Intended for public release on github.com/qualcomm.

    qualcomm/libqcperf's past year of commit activity
    C 11 BSD-3-Clause-Clear 9 1 3 Updated Oct 10, 2026