Giada is proudly exhibiting at Japan IT Week 2026, held at Tokyo Big Sight. The event has provided a valuable platform for exchanging ideas and engaging with industry professionals on how advanced hardware solutions are driving the future of AI computing and industrial automation.
 
Throughout the exhibition, Giada’s team has been actively connecting with partners and visitors, discussing real-world applications and deployment scenarios across edge AI, smart manufacturing, and embedded systems.


 
Highlights from Giada’s Showcase
 
M.2 AI Accelerator Module
One of the key highlights is Giada’s compact yet powerful M.2 AI accelerator module, delivering up to 25 TOPS AI performance while maintaining ultra-low power consumption of just 3.6W. With its standard M.2 form factor, the module enables seamless integration into existing systems, making it an ideal solution for edge AI deployment where efficiency and scalability are critical.
 
15.6-inch HMI Panel PC – AN708-V1
Also on display is the AN708-V1 HMI Panel PC, powered by the Rockchip RK3576 processor. Designed with rich I/O interfaces and a robust architecture, it is well-suited for applications such as smart manufacturing, kiosks, and interactive control systems, offering both performance and flexibility in industrial environments.
 
Comprehensive Product Portfolio
 
In addition to these highlights, Giada is presenting a wide range of solutions, including:
* AI PCs and media players for intelligent computing and digital signage
* Industrial PCs and motherboards designed for reliability and long-term deployment

 

Driving the Future of Embedded and AI Solutions
Giada’s presence at the exhibition underscores its commitment to enabling innovation across AI, automation, and embedded technologies. By combining performance, efficiency, and versatile design, Giada continues to support partners in building smarter, more connected systems.
 
Visitors and partners are warmly invited to connect with the Giada team on site to explore collaboration opportunities and discover how these solutions can power next-generation applications.