Optimal Drive Technology

DFI envisions new innovations in edge AI computing and creates future unmanned applications

11 April 2024

DFI's theme at this year's 2024 Embedded World Exhibition is 'Embedded Solutions Connecting Edge AI Computing', focusing on the unmanned services market.

DFI is pioneering the implementation of Intel iGPU SR-IOV virtualisation technology to integrate deployment and energy-saving needs in applications such as unmanned services and remote management. Embedded system modules equipped with the latest Intel Core Ultra processors and high-end industrial motherboards for AGV/AMR, developed in collaboration with Qualcomm, will also make their debut during the exhibition.

At Embedded World, a major event in the German embedded industry that has global influence, DFI will unveil for the first time the 'Future Unmanned Charging Station' in collaboration with Intel. It drives different operating systems with virtualisation technology, and integrates self-service charging stations and interactive digital signage. Its built-in large language model (LLM) utilises AI to achieve unmanned intelligent applications. These features provide users with customised services while achieving sales objectives. The x86 architecture facilitates the integration of future hardware and software functions. This unmanned application concept is not only suitable for charging stations, but it can also be replicated in various other fields.

Moreover, according to reports from Arm and Microsoft, 81 percent of developers expect the Windows on Arm (WoA) market to grow significantly in the next five years. To meet the customer needs of the Arm architecture ecosystem, DFI has made plans to expand its hardware design to support the Windows operating system. The booth will showcase the integration results of WoA. Due to its stability and low power consumption, it is conducive to large-scale unmanned service terminal applications.

DFI has also developed a series of rugged and miniaturised products that not only enhance the performance of graphical edge AI computing in fields such as smart charging stations, smart retail, smart factories, and smart healthcare, but also reduce infrastructure maintenance costs and improve energy efficiency. DFI looks forward to providing comprehensive integration and customised services for large-scale deployment needs in various application fields. 

Free registration code: ew24518000
Booth information: Hall 2-313

More information on DFI here.


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