Taiwanese embedded motherboard maker DFI and Korean IoT developer DEEPX have launched edge AI platforms integrated with the DX-M1 AI accelerator for smart city applications. Designed as scalable and energy-efficient AI solutions, DFI has integrated the DEEPX DX-M1 AI accelerator into its industrial and edge hardware platforms.

The DEEPX DX-M1 can process over 16 video channels on a single chip. It can achieve real-time performance exceeding 30 fps with GPU-level precision, and deliver up to 25 TOPs of AI power while minimising energy consumption. This enables simultaneous execution of AI algorithms such as object recognition and image classification.

At CES, the two companies demonstrated two fan-less embedded systems—the EC710-ASL and EC600-RPS—featuring the DEEPX DX-M1 M.2 AI accelerator. These platforms are designed to meet real-time demands in smart cities, enabling applications like smart transportation, surveillance, and accident prevention. The system are powered by Intel Atom and Intel 14th/13th/12th Gen processors, and support Intel Time Coordinated Computing (Intel TCC) technology for precise real-time operations while maintaining low power consumption and minimal latency.

DFI industrial-grade embedded solutions include the ASL253 single-board computer powered by Intel Atom processors, the EB100-MTU NUC system featuring Intel Core Ultra processors, proprietary Out-of-Band (OOB) modules, and the DFI Workload Platform.