China's Diji Robot and GigaDevice Reach Strategic Cooperation to Accelerate Large-Scale Development of Embodied Intelligence Industry

en.Wedoany.com Reported - On July 17, 2026, Diji Robot and GigaDevice announced a strategic cooperation, aiming to collaborate comprehensively across three dimensions: product solutions, ecosystem synergy, and standard co-promotion, to accelerate the large-scale development of the embodied intelligence industry.

The two parties will leverage Diji Robot's Sunrise S600 and Sunrise S100 full-series embodied intelligence computing platforms, along with GigaDevice's GD32H7, GD32F5, and other full-series high-performance product matrices, to jointly create an integrated "high-performance computing + real-time control" system-level solution. This effort is dedicated to bridging the entire chain from upper-layer computing decision-making to underlying real-time control in embodied intelligence, driving the industry from single-point technological breakthroughs toward standardized and large-scale mass production and delivery.

The stable deployment of embodied robots requires intelligent decision-making supported by end-side large models, as well as millisecond-level response from underlying motion control. The synergy efficiency between the two directly determines overall machine performance and mass production reliability.

Diji Robot and GigaDevice will jointly develop a "high-performance computing platform + MCU" system-level solution for humanoid robots and industrial embodied equipment. Both parties will define hardware interface specifications and software collaboration architectures, focusing on core scenarios such as joint control, motion control, motor drive, and multi-sensor fusion. They will conduct joint verification and engineering implementation to form reusable standardized reference designs, helping industry customers quickly complete product integration.

Leveraging the upper-layer decision-making capabilities of the Sunrise S600 and Sunrise S100 multi-core heterogeneous computing architectures, combined with GigaDevice's high-performance MCU stable and reliable real-time control capabilities and low-latency sensor acquisition computing power, the solution will achieve efficient "big brain and small brain" collaboration: while ensuring large model inference and multimodal perception processing performance, it will achieve millisecond-level motion control response and significantly reduce customer adaptation development costs, accelerating the transition of complete machines from prototype verification to mass production.

Industrial scale-up relies on a mature and open development ecosystem. Diji Robot's cloud-device integrated AI Native development toolchain will be fully interconnected with GigaDevice's Embedded Builder visual development platform and the MCU-wide development ecosystem of lightweight Embedded AI inference tools, providing developers with a one-stop development environment from algorithm training and model deployment to underlying motion control, reducing redundant cross-platform adaptation work. Currently, Diji Robot has gathered over 100 industry chain ecosystem partners, serving more than 100,000 developers globally; GigaDevice's GD32 MCU serves over 20,000 customers worldwide, with cumulative shipments exceeding 2.5 billion units. The collaboration will further enhance the control layer ecosystem capabilities, forming a complete ecosystem loop from computing chips, control chips to complete machine solutions, providing a more mature software-hardware integrated development environment for developers and enterprise customers of various scales.

The embodied intelligence industry is in a period of rapid iteration. Fragmentation of product technology routes and interface standards is a long-standing pain point restricting the industry's large-scale development. To address this, the two parties will establish a normalized product and technology route coordination mechanism, maintaining regular communication and joint planning in dimensions such as GD32 MCU product iteration direction, Sunrise S600 platform interface adaptation, and robot control system technology evolution. By aligning technology routes, both parties will jointly promote the standardization and platform evolution of key interfaces in the robot control chain, reducing redundant adaptation costs within the industry and enhancing the compatibility and overall competitiveness of upstream and downstream products.

From single-point product adaptation to long-term route coordination, the cooperation between the two parties goes beyond current solution implementation. It will also lay a solid foundation for the long-term large-scale development of the embodied intelligence industry by promoting the formation of industry standard consensus.