New processors combine AI, vision, connectivity and real-time computing to help developers build smarter consumer, commercial and industrial devices with reduced system complexity.
Qualcomm has introduced two new edge processors, the Dragonwing Q-2390 and Dragonwing IQ-2390, designed to bring AI-enabled computing, vision and connectivity to a wider range of connected devices. The platforms target consumer, commercial and industrial applications where cost, power consumption and system integration remain critical design considerations.
The Qualcomm Dragonwing Q-2390 processor is aimed at commercial, enterprise and consumer IoT products. Its key benefit is the integration of multiple functions—including application processing, on-device AI, camera and display capabilities, location services, connectivity, security and extensive I/O—into a single platform. This level of integration can help product developers reduce hardware complexity while building intelligent devices capable of processing information closer to where it is generated.
The Q-2390 is intended for applications ranging from retail systems and smart-home products to smart displays and enterprise edge equipment. By supporting local intelligence, the processor can enable devices to analyse data and respond without depending entirely on cloud-based processing, making it suitable for connected products operating under tight power, size and cost constraints.
The key features are:
- Quad-core Qualcomm Kryo CPU architecture
- Qualcomm Adreno 704 graphics processor
- Integrated real-time RISC-V microcontroller
- Support for Linux, Android and Zephyr operating systems
- IQ-2390 supports an industrial temperature range of –30°C to +115°C
For industrial applications, the Qualcomm Dragonwing IQ-2390 processor takes a more specialised approach. As the first platform in the Dragonwing IQ2 Series, it combines application processing with AI acceleration, machine vision, deterministic networking and real-time processing. The result is a compact platform designed for systems that must not only analyse data locally but also interact reliably with industrial equipment and infrastructure.
Potential applications include industrial automation, machine-vision systems, intelligent human-machine interfaces, building-management platforms and energy systems. The integration of industrial connectivity and real-time capabilities could simplify the development of equipment such as controllers, gateways and other edge systems.
Together, the Q-2390 and IQ-2390 reflect the growing shift toward distributed edge intelligence. Rather than reserving AI and advanced processing for premium devices, these processors are designed to make intelligent capabilities more accessible across everyday connected products and industrial infrastructure. The two platforms therefore offer developers a common foundation for building devices that can perceive, analyse and act on information locally.
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