Giada has unveiled its latest AI edge computing device — the DN84 AI Edge Computing Box — designed to bring efficient and reliable edge intelligence to industrial environments. Built with industrial-grade stability in mind, the DN84 delivers strong AI performance while maintaining low power consumption, making it an ideal platform for a wide range of edge computing scenarios.
At the core of the DN84 is the Rockchip RK3576 octa-core ARM processor, featuring four Cortex-A72 cores and four Cortex-A53 cores. The device integrates an NPU capable of delivering up to 6 TOPS of AI computing power, supporting multiple precision formats such as INT4, INT8, INT16, FP16, BF16, and TF32. This enables efficient acceleration for AI inference, image analysis, and other edge AI workloads. Despite its powerful capabilities, the system maintains a low TDP of only 6W, achieving an excellent balance between performance and energy efficiency.

4x Cortex-A72 + 4x Cortex-A53 for balanced performance.
AI computing for inference and image analysis.
Efficient performance for edge computing scenarios.
Designed for industrial reliability, the DN84 is built to operate in demanding environments and has obtained key certifications including CE, FCC Class B, and UKCA, ensuring safety and compliance for global deployment.
Connectivity and expandability are also major strengths of the DN84. The device provides USB 3.2 Gen1, USB 2.0, RS232/485 serial ports, dual Gigabit Ethernet, and multiple HDMI interfaces supporting 4K/120Hz display and input. These rich I/O options make it easy to integrate with industrial equipment and peripheral devices.

Advanced Wireless and Multimedia Capabilities
For wireless connectivity, the DN84 features onboard Wi-Fi and Bluetooth 5.4, along with support for 3G/4G expansion via a SIM card slot, ensuring stable networking in various environments. The integrated Mali-G52MC3 GPU enables powerful multimedia capabilities, supporting 8K video decoding and 4K video encoding, making it suitable for high-resolution visual applications.
The system supports Android 14 and Debian 12, allowing users to choose between an interactive smart platform or a professional data-processing environment. Additional management features such as auto power-on and RTC real-time clock make it well suited for unattended deployments.

Interactive smart platform for kiosks and digital signage.
Professional data-processing environment for industrial applications.
With its compact design, AI performance, and industrial reliability, the DN84 is ideal for applications such as digital signage, interactive kiosks, image analysis, and intelligent data processing.
Giada’s AI edge solutions have recently attracted strong attention at the China Hi-Tech Fair, highlighting the company’s growing influence in the edge AI ecosystem as it continues to advance its technology and corporate development.
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