Lantronix Open-Q™ 9075IQ DevKit – Next-Gen Edge AI Platform
19. November 2025 | Planegg
The Lantronix Open-Q™ 9075IQ Development Kit Bundle offers a powerful, production-ready platform for advanced edge AI applications in industrial environments. With 36 GB of ECC LPDDR5 RAM, extensive accessory support, and a rugged design, the bundle kit is ideal for developers and OEMs looking to implement autonomous devices, AI-powered robotics solutions, and next-generation Industry 5.0 systems.
The Edge AI platform is based on the Qualcomm® Kryo™ Gen 6 octa-core CPU and utilizes the Qualcomm® AI Engine™ with up to 100 INT8 TOPS of computing power. With ECC memory and an integrated real-time subsystem, the Open-Q™ 9075IQ delivers energy-efficient, high-performance AI with maximum reliability, offering a decisive advantage, especially for safety-critical industrial, robotics, and automation applications.
The Lantronix Open-Q™ 9075IQ Development Kit supports large language models (LLMs) such as LLaMA 27B with up to 22 tokens per second, enabling on-device AI inference directly at the edge. In addition, the platform allows parallel processing of more than 16 camera streams, making it ideal for machine vision, inspection, and smart factory solutions.
In addition to the Open-Q™ 9075IQ SOM, which is designed for extreme industrial conditions with an extended operating temperature range of –40°C to +90°C, it also comprises a carrier board, accessories, and a complete SDK that enables immediate commissioning to accelerate development.
The development kit can advance the development of autonomous mobile robots (AMRs), industrial edge AI systems, machine vision applications, on-device LLM inference, and solutions for medical technology, rail, and automation platforms.
Learn more about the Lantronix Open-Q™ 9075IQ Development Kit in the ATE Store and discovermore Atlantik Elektronik Solutions for Industry 5.0.
Q&A
What applications is the Open-Q™ 9075IQ Kit suitable for?
The kit is suitable for industrial AI development such as robotics, embedded vision, and edge AI inference with high reliability requirements.
Does the kit support common AI frameworks
Yes. It is fully compatible with frameworks such as TensorFlow, PyTorch, and other industrial AI toolchains.
How is it integrated into existing systems
Integration is quick and flexible thanks to the provided SDK, standardized interfaces (CSI, PCIe, USB), and comprehensive API documentation.
