DFI introduced new edge AI platforms with Intel at Embedded World 2026 to support robotics, defense systems and industrial automation.
DFI announced that it will showcase several edge AI platforms developed with Intel at Embedded World 2026. The company said the new solutions demonstrate how edge AI is moving beyond experimental projects to real-world industrial deployment.
Edge AI allows data to be processed directly on devices rather than sending it to centralized cloud servers. This helps reduce delays and improves real-time decision-making in industrial systems. According to DFI, many companies are now looking for edge AI platforms that offer strong performance, energy efficiency and reliable long-term operation.
To meet these needs, DFI has developed a range of edge AI products designed for industrial environments. One example includes robotic arm systems created in partnership with Intel. These systems are built to work in demanding factory settings and support automation tasks.
At the event, DFI will introduce a new generation of mission-critical edge AI platforms designed for industries such as defense and healthcare.
For defense and autonomous systems, the company will launch the PTH9HM COM-HPC Mini module. This compact computing module is roughly the size of a credit card and is designed for advanced tasks such as autonomous navigation, object recognition and threat tracking. The module can also process 8K visual data in real time.
Powered by Intel Core Ultra Series 3 processors with integrated graphics, the module is designed to operate in extreme conditions, including temperatures ranging from –40°C to 85°C. It also includes built-in memory, high-speed networking and security features to protect critical data.
For healthcare applications, DFI will introduce PTH171 and PTH173 edge AI Mini-ITX motherboards. These boards are designed for medical imaging and diagnostic systems, offering high computing performance and long product life cycles required in medical environments.
DFI will also showcase the SF101-PTH industrial compact system, which uses Intel Core Ultra processors to combine computing, graphics and AI acceleration in one platform. This architecture enables real-time control, visual processing and AI analysis without requiring additional graphics cards.
The platform includes technologies such as Intel Time Coordinated Computing (TCC) and Time-Sensitive Networking (TSN), which help systems respond to tasks in milliseconds. This helps improve efficiency while reducing operational costs.
According to DFI, robotics and automation systems require more than just AI processing. Industrial platforms must also support real-time system response, stable operation and strong connectivity with sensors and devices. The company said its platforms are designed to deliver these capabilities while supporting long-term reliability.
DFI added that the same platform design can be used across multiple applications, including industrial automation, computer vision systems and intelligent infrastructure, allowing organizations to reuse system designs and scale deployments more easily.
Through its partnership with Intel, DFI aims to help companies move from small experimental AI projects to large-scale, production-ready edge AI deployments.
At Embedded World 2026, the company plans to position its edge AI portfolio as a scalable foundation for robotics, automation and industrial edge computing, rather than a collection of single-use systems.
