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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 463

  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 209

  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 459 121

  5. eld eld Public

    Embedded Linker (eld)

    C++ 259 84

  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 114 78

Repositories

Showing 10 of 153 repositories
  • qualcomm/cpullvm-toolchain's past year of commit activity
    LLVM 22 34 7 34 Updated Sep 16, 2026
  • eld Public

    Embedded Linker (eld)

    qualcomm/eld's past year of commit activity
    C++ 259 BSD-3-Clause 84 230 (10 issues need help) 99 Updated Sep 16, 2026
  • AI-Harness Public

    AI-Harness: More convenient, secure, and cost‑efficient hybrid AI Personal AI Assistant based on OpenClaw

    qualcomm/AI-Harness's past year of commit activity
    TypeScript 1 MIT 0 0 1 Updated Sep 16, 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 236 52 4 2 Updated Sep 16, 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 2,710 463 26 4 Updated Sep 16, 2026
  • qemu-hexagon-testing Public

    Test programs to exercise QEMU hexagon

    qualcomm/qemu-hexagon-testing's past year of commit activity
    C 10 BSD-3-Clause 6 0 0 Updated Sep 16, 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++ 14 MIT 23,728 0 0 Updated Sep 16, 2026
  • qcom-usb-kernel-drivers Public

    Qualcomm kernel drivers provide logical representations of Qualcomm chipset-enabled mobile devices over USB connections. This repository includes source code, build scripts, and documentation for a set of device drivers designed for Qualcomm hardware platforms. The drivers support both Windows and Linux environments.

    qualcomm/qcom-usb-kernel-drivers's past year of commit activity
    C 49 BSD-3-Clause 13 1 5 Updated Sep 16, 2026
  • qbox Public

    Qbox

    qualcomm/qbox's past year of commit activity
    C++ 102 47 24 13 Updated Sep 16, 2026
  • vllm-qaic Public

    Qaic plugin backend for vllm to utilize Cloud AI accelerators

    qualcomm/vllm-qaic's past year of commit activity
    Python 11 25 0 43 Updated Sep 15, 2026