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Qualcomm® Dragonwing™ products bring generative AI (GenAI) to edge devices without relying solely on cloud infrastructure, lowering latency, enhancing privacy, and reducing costs for diverse IoT applications.
‘GenAI use-cases’ are not supported on Dragonwing™ IQ-2390 and Dragonwing™ IQ-615.
The following image illustrates the GenAI architecture, including supported use cases and applications, GenAI frameworks, and the lower-level backends and libraries. GenAI architecture diagram Dragonwing IQ products integrate a CPU, GPU, and Hexagon NPU for heterogeneous computing, optimized for large language models (LLMs), vision, and multimodal AI tasks. Leading GenAI models — including Llama, Whisper, Stable Diffusion, and LLaVA — are supported for IoT scenarios such as robotics, retail, and industrial automation. For responsive LLM performance, Dragonwing IQ supports multi-billion parameter models with techniques such as prefill acceleration and self-speculative decoding. To enable bring-your-own-model (BYOM) workflows and streamline deployment, use Qualcomm AI Hub, Qualcomm AI Runtime SDK execution providers, and Qualcomm Generative AI Inference Extensions (Genie).

Why on-device GenAI matters

Generative AI on Dragonwing delivers context-aware, adaptive, and privacy-preserving solutions at the edge, enabling automation, personalization, and operational efficiency for use cases such as autonomous drones, predictive maintenance, multimodal agents, and on-device retrieval-augmented generation (RAG).

Get started

Select the option that matches your GenAI workflow.

Prepare a GenAI model

Prepare a GenAI model for execution on Qualcomm Dragonwing IoT devices.

Run a GenAI model

Run a prepared GenAI model on a Qualcomm Dragonwing IoT device.

Use GenAI models with Genie

Prepare, manage, and execute GenAI models with Qualcomm Generative AI Inference Extensions (Genie).

Develop a GenAI application

Build your own GenAI application based on a Qualcomm sample application.