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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 477

  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 1.3k 218

  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 475 130

  5. eld eld Public

    Embedded Linker (eld)

    C++ 262 89

  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 256 57

Repositories

Showing 10 of 166 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 256 57 5 0 Updated Nov 8, 2026
  • eld Public

    Embedded Linker (eld)

    qualcomm/eld's past year of commit activity
    C++ 262 BSD-3-Clause 89 288 (11 issues need help) 113 Updated Nov 8, 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 2,743 477 30 14 Updated Nov 8, 2026
  • qualcomm/cpullvm-toolchain's past year of commit activity
    LLVM 23 35 7 42 Updated Nov 8, 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++ 16 MIT 25,804 0 0 Updated Nov 7, 2026
  • qualcomm-ui Public

    Qualcomm UI component library

    qualcomm/qualcomm-ui's past year of commit activity
    TypeScript 10 BSD-3-Clause-Clear 8 1 5 Updated Nov 7, 2026
  • edk2 Public Forked from tianocore/edk2

    EDK II

    qualcomm/edk2's past year of commit activity
    C 1 3,431 0 0 Updated Nov 7, 2026
  • QcNode Public

    QCNode is Qualcomm's next-generation ADAS Hardware Abstraction Layer (HAL). It provides a set of user-friendly APIs that abstract the complexities of interacting with Qualcomm’s ADAS hardware accelerators. It simplifies the development of perception and computer vision apps by offering modular components and utilities tailored for ADAS use cases.

    qualcomm/QcNode's past year of commit activity
    C++ 22 BSD-3-Clause-Clear 12 0 3 Updated Nov 7, 2026
  • vllm-qaic Public

    Qaic plugin backend for vllm to utilize Cloud AI accelerators

    qualcomm/vllm-qaic's past year of commit activity
    Python 13 31 1 41 Updated Nov 7, 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 1,257 BSD-3-Clause 218 7 2 Updated Nov 7, 2026