The RCB400 T10-05 is a high-performance, modular, and highly integrated control board designed for next-generation intelligent robotics, motion control, and AI-driven automation. Accelerated by the NVIDIA® Jetson T5000 system-on-module (SOM), it is ideally suited for high-computing-demand applications such as humanoid robots, quadruped robots, autonomous mobile robots (AMRs), smart manufacturing, and intelligent sensing systems. With built-in AI and motion control capabilities, the platform significantly shortens development cycles and accelerates time-to-market for innovative robotic solutions.
At its core, the RCB400 T10-05 integrates the Jetson T5000 SOM, featuring a 2560-core NVIDIA Blackwell architecture GPU, 96 fifth-generation Tensor Cores, and 10 Tensor Processing Clusters (TPCs) supporting Multi-Instance GPU (MIG) technology. This configuration delivers up to 2070 TFLOPS (FP4 – Sparse) of AI inference performance, making it well-suited for compute-intensive and multi-task edge AI applications.
To support a broad range of deployment scenarios, the RCB400-T05-10 offers rich and flexible I/O options, including: 2 x CAN FD for real-time communication and motion control networking, 4 x COM Ports supporting RS-232/422/485 serial interfaces, 4 x 25 GbE ports for sensor, camera, and high-speed networking, 4 x USB 3.2 ports for high-speed data transfer and peripheral integration, 8 x GMSL (Gigabit Multimedia Serial Link) ports for high-resolution cameras and synchronized sensor input
In addition, the RCB400 T05-10 features an MCIO connector and dedicated cable to interface with external I/O boards, enabling modular I/O expansion and flexible adaptation to a variety of system architectures—including industrial automation systems, mobile robotic platforms, and complex robotic frameworks.
