Qualcomm Launches IMSDK 2.0 to Accelerate Edge AI Application Development

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Qualcomm has launched IMSDK 2.0 to accelerate edge AI development, providing a unified framework for AI and multimedia applications on the Dragonwing platform. The SDK supports AI inference, camera, audio, video, sensor, and cloud connectivity, targeting smart cameras, robots, drones, and IoT devices. It includes the Pipeline API, Python and C++ tools, and multiple AI inference pathways such as QAIRT and ONNX Runtime. Features like Coding Agent Skills and containerized microservices streamline development. This update aligns with the growing trends in AI + crypto news and on-chain developments.

Odaily Planet Daily reports that Qualcomm Technologies has launched the Qualcomm Intelligent Multimedia SDK (IMSDK) 2.0, providing a unified development framework for AI and multimedia applications built on the Qualcomm Dragonwing platform.

Qualcomm states that IMSDK 2.0 is designed to help developers build intelligent applications on edge devices that integrate generative AI, multimedia processing, and real-time analytics, unifying AI model inference with cameras, audio, video, sensors, and cloud connectivity within a single development environment, covering scenarios such as smart cameras, industrial robots, drones, and IoT devices.

The new SDK introduces the Pipeline API and build tools for Python and C++, reducing developers' dependence on underlying multimedia frameworks. Additionally, IMSDK 2.0 supports multiple AI inference pathways, including Qualcomm AI Runtime SDK (QAIRT), ONNX Runtime, and TensorFlow Lite, enabling models to run on CPU, GPU, or NPU based on requirements.

In addition, IMSDK 2.0 introduces Coding Agent Skills for AI programming assistants, Documentation as Code, and containerized microservice capabilities, enabling developers to build, debug, deploy, and optimize applications using natural language commands.

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