Specifications
Model
D-Robotics RDK S100P development kit
Product Type
Robotics-class edge AI development kit / single-board computer with enclosure
SoC
D-Robotics S100P
CPU
6x Arm Cortex-A78AE @ 2.0 GHz (safety-capable AE cores)
Real-Time MCU
4x Arm Cortex-R52+ @ 1.2 GHz — 1x DCLS lockstep pair plus 2x split-lock cores
BPU / NPU
1x Nash BPU, 128 TOPS INT8 equivalent; vendor claims support for 160+ ONNX operators
GPU
Arm Mali-G78AE, 100 GFLOPS
System Memory
24 GB LPDDR5 on a 96-bit bus, up to 6400 Mbps
Boot Storage
64 GB eMMC flash
NVMe Expansion
M.2 M-Key (PCIe 3.0 x1) socket for NVMe SSD
Display
1x HDMI 1.4, up to 2560 x 1440 @ 60 Hz
Camera Interfaces
100-pin expansion header plus 3x 4-lane MIPI CSI-2
Optional Camera Board
Adds 2x MIPI CSI-2 and 4x GMSL2 inputs via a Maxim MAX96712 deserializer
Supported Cameras
IMX219, SC230AI, SC132GS, SG8S-AR0820C, Intel RealSense D457 and D435i
Networking
2x Gigabit Ethernet RJ45 (eth1 ships with static IP 192.168.127.10)
Wireless
Wi-Fi and Bluetooth via M.2 E-Key (PCIe 3.0 x1 + UART) socket
USB
4x USB 3.0 Type-A, 1x USB 2.0 Type-C for flashing and debugging
Expansion
40-pin main GPIO (SPI, I2C, I2S, PWM, UART), 16-pin MCU GPIO, JTAG header
MCU Expansion Board
5x CAN FD up to 8 Mbps, Gigabit Ethernet, 30-pin header with 7x ADC, 2x I2C, 2x SPI, Bosch BMI088 IMU
Power
12–20 V DC input; 90 W adapter included, board supports up to 150 W
Dimensions
121 x 120 x 51 mm including case
Operating Temperature
0 °C to 45 °C
Operating System
RDK OS — Ubuntu 22.04 (Jammy) desktop image, Linux 6.1
Robot Software Stack
TogetheROS.Bot on ROS 2 Humble: hobot_sensor, hobot_dnn, hobot_codec, hobot_vio, libsrcampy
AI Toolchain
OpenExplorer with INT8 quantization plus rdk_model_zoo (YOLO and other reference models)
Positioning
Positioned as an alternative to the NVIDIA Jetson Orin NX 16GB for robotics and vision workloads
Overview
The D-Robotics RDK S100P is a robotics development kit built around the S100P module. It brings together a 6-core Arm Cortex-A78AE application cluster, a separate 4-core Cortex-R52+ MCU domain, a Nash BPU rated at 128 TOPS INT8, a Mali-G78AE GPU and 24 GB of LPDDR5 on a 96-bit bus — a specification set aimed squarely at the NVIDIA Jetson Orin NX 16GB class of robotics computer.
The architectural distinction is the split between application and real-time domains. Two of the Cortex-R52+ cores run in lockstep for safety, while the other two support split-lock operation, so time-critical motor and sensor I/O can stay on the MCU while Linux and vision processing run on the A78AE cluster. That can remove the need for a separate real-time controller, depending on the robot and its requirements. I/O covers three 4-lane MIPI CSI-2 interfaces, an optional camera board that adds two MIPI and four GMSL2 inputs through a MAX96712 deserializer, dual Gigabit Ethernet and Wi-Fi/Bluetooth through an M.2 E-Key socket.
Software is delivered as a complete stack rather than a bare BSP: RDK OS is an Ubuntu 22.04 desktop image on Linux 6.1, flashed from Windows, Linux or Apple Silicon via D-Navigation over USB Type-C in U-Boot/fastboot or DFU mode. For robotics work, TogetheROS.Bot provides ROS 2 Humble components for sensing, BPU inference and hardware video processing, and the OpenExplorer toolchain plus rdk_model_zoo cover INT8 quantization of YOLO and other reference models. D-Robotics also publishes the sources needed to build custom system images.
Key Benefits
128 TOPS INT8 Nash BPU with 24 GB of LPDDR5 in a single robotics board. Six Cortex-A78AE cores plus a four-core Cortex-R52+ lockstep MCU domain consolidate Linux vision processing and real-time control onto one platform. Three 4-lane MIPI CSI-2 ports, expandable to four GMSL2 cameras through the optional MAX96712 camera board, cover multi-camera perception. TogetheROS.Bot on ROS 2 Humble with OpenExplorer INT8 quantization shortens the path from model to deployed robot. 12–20 V DC input, 90 W adapter included and up to 150 W board headroom suit mobile robotics power budgets.
Applications
Mobile and humanoid robotics development, AMR and AGV perception stacks, multi-camera vision with GMSL2 sensors, real-time motor and motion control, autonomous navigation with ROS 2, industrial inspection robots, research and education platforms requiring an Orin NX 16GB-class alternative.
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