{"title":"Brands - D-Robotics","description":"","products":[{"product_id":"d-robotics-rdk-s100-robotics","title":"D-Robotics RDK S100 Robotics Development Kit 80 TOPS","description":"\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eD-Robotics RDK S100\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis a high-performance robot development platform built on D-Robotics' proprietary \"Dual-Brain\" heterogeneous architecture, combining\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eAI perception inference\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewith\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ereal-time motion control\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ein a single integrated system. Powered by a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSunrise-class intelligent computing core\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efeaturing a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBPU Nash neural processing unit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003edelivering\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e80 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(S100) or\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e128 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(S100P) of INT8 inference performance, the RDK S100 series represents a significant leap in edge computing for robotics.\u003c\/p\u003e\n\u003cp\u003eThe \"人启双脑\" (Human-Inspired Dual-Brain) architecture allocates dedicated processing resources to each domain: the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBPU Nash handles AI perception and motion control model inference\u003c\/strong\u003e, while the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003equad-core Cortex-R7 MCU manages high-frequency motor communication and motion command interpolation\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— eliminating the bottleneck of running time-critical control loops on a general-purpose CPU. This enables truly integrated perception-and-action pipelines for complex robotic systems such as quadruped robots, dexterous manipulators, and autonomous mobile platforms.\u003c\/p\u003e\n\u003cp\u003eWith\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e12GB (S100) or 24GB (S100P) LPDDR5 memory\u003c\/strong\u003e, 64GB eMMC storage, an M.2 NVMe expansion slot, dual Gigabit Ethernet, 4× USB 3.0, a 100-pin camera expansion connector, and comprehensive GPIO\/MCU expansion headers, the RDK S100 provides the I\/O bandwidth and computing headroom demanded by advanced robotic applications. Backed by\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e200+ open-source algorithms\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand D-Robotics' mature development ecosystem, the RDK S100 is ready for the next generation of intelligent robots.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/20260427162050_113_33.png?v=1777278084\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBPU Nash — 80 TOPS \/ 128 TOPS (INT8)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— D-Robotics' latest-generation Brain Processing Unit delivers industry-leading AI inference throughput for complex perception models, motion planning, and multi-modal fusion at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\"Dual-Brain\" Heterogeneous Architecture\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Innovative CPU + BPU + MCU co-processing design where the BPU handles perception inference, the 6× Cortex-A55 CPU manages application logic, and the 4× Cortex-R7 MCU handles motion interpolation and high-frequency communication (up to 1kHz+ servo loops)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6× Arm Cortex-A55 with Safety Features\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Includes 1 pair of DCLS lockstep cores and 2 Split-Lock capable cores for functional safety compliance in industrial and automotive robotics applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4× Arm Cortex-R7 Real-Time MCU\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Dedicated real-time processor for motion command interpolation, servo bus communication, and time-critical control loops — offloading the CPU and reducing motion latency to microsecond-level precision\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArm Mali-G78AE GPU @ 100 GFLOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— High-performance GPU for 3D visualization, simultaneous localization and mapping (SLAM rendering), and GPU-accelerated compute tasks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12GB \/ 24GB LPDDR5, 96-bit Wide Bus\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Massive memory bandwidth for running large perception models (Transformer, occupancy networks), multi-sensor fusion, and concurrent AI pipelines (S100: 12GB \/ S100P: 24GB)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e64GB eMMC + M.2 NVMe Expansion\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Ample onboard storage for OS and models, plus an M.2 Key M slot (PCIe 3.0 x1) for high-speed SSD expansion to handle large datasets and logging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Gigabit Ethernet (RJ45 × 2)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Two independent Gigabit ports for simultaneous sensor network connectivity, ROS 2 communication, and high-throughput data streaming\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4 × USB 3.0 + USB 2.0 Type-C\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— High-bandwidth USB 3.0 ports for LiDAR, depth cameras, and external storage; Type-C port for flashing and serial debug of both main and MCU domains\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e100-Pin Camera Expansion Connector\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— High-density camera interface for connecting MIPI CSI camera modules, stereo vision systems, or ToF depth sensors via expansion boards\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive Expansion Headers\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 40-pin main GPIO + 16-pin MCU GPIO + 100-pin MCU expansion connector + automatic mode header + JTAG debug, providing maximum flexibility for custom robotics integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eM.2 Key E Slot for Wireless Expansion\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— PCIe 3.0 x1 + UART slot for Wi-Fi and Bluetooth module installation, enabling wireless connectivity tailored to your deployment requirements\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHDMI 1.4 Output — 2K@60fps\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Display interface for HMI visualization, real-time inference preview, and debug monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e200+ Open-Source Algorithms\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Extensive algorithm library covering object detection, human pose estimation, V-SLAM, occupancy prediction, motion planning, and more — all optimized for the BPU Nash architecture\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePre-installed Acrylic Protective Case\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Ships with a transparent acrylic enclosure for immediate tabletop development and prototyping\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ch3\u003eVariant Comparison\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eRDK S100\u003c\/th\u003e\n\u003cth\u003eRDK S100P\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU (BPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × BPU Nash,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e80 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eINT8\u003c\/td\u003e\n\u003ctd\u003e1 × BPU Nash,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e128 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eINT8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e12GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eLPDDR5, 96-bit\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e24GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eLPDDR5, 96-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 × Arm Cortex-A55\u003c\/td\u003e\n\u003ctd\u003e6 × Arm Cortex-A55\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMCU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 × Arm Cortex-R7\u003c\/td\u003e\n\u003ctd\u003e4 × Arm Cortex-R7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eArm Mali-G78AE @ 100 GFLOPS\u003c\/td\u003e\n\u003ctd\u003eArm Mali-G78AE @ 100 GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC + M.2 Key M\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC + M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIdentical\u003c\/td\u003e\n\u003ctd\u003eIdentical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBest For\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eStandard robotics, perception\u003c\/td\u003e\n\u003ctd\u003eLarge models, multi-modal AI, complex systems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eProcessor Architecture\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI SoC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eD-Robotics Sunrise-class Intelligent Computing Core\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU (BPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × BPU Nash, 80 TOPS (S100) \/ 128 TOPS (S100P), INT8 quantization\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 × Arm Cortex-A55 (1× DCLS lockstep pair + 2× Split-Lock capable cores)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMCU (Real-Time)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 × Arm Cortex-R7 (motion interpolation, high-frequency communication)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × Arm Mali-G78AE, 100 GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\"Dual-Brain\" — BPU (perception) + MCU (motion) heterogeneous co-processing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eMemory \u0026amp; Storage\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12GB \/ 24GB LPDDR5, 96-bit bus width\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnboard Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × M.2 Key M slot (PCIe 3.0 x1, NVMe SSD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eConnectivity\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × RJ45, 1000Mbps Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWireless Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × M.2 Key E slot (PCIe 3.0 x1 + UART, for Wi-Fi \/ BT module)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eUSB \u0026amp; Display\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 3.0 Host\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 2.0 Type-C\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × Micro USB 2.0 Type-C (flashing \u0026amp; debug, main + MCU domain)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHDMI Output\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 1.4, up to 2K @ 60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eExpansion \u0026amp; Debug\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e40-Pin Main GPIO Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeneral-purpose I\/O for sensors and peripherals\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e16-Pin MCU GPIO Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDedicated MCU I\/O for motor\/servo interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e100-Pin MCU Expansion Connector\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHigh-density MCU expansion for custom daughterboards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e100-Pin Camera Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCamera module interface (MIPI CSI via expansion boards)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMCU Port Expansion Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAdditional MCU I\/O breakout\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAutomatic Mode Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFor autonomous mode configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJTAG Debug Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × JTAG (separate groups for main domain and MCU domain)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDIP Pin Function Switch\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × group, for configurable pin multiplexing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRTC Battery Holder\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × CR-type RTC battery socket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFan Connector\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × onboard fan power header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003ePower \u0026amp; Physical\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInput Voltage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12V ~ 20V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRated Voltage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRated Current\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10A max\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Connector\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC barrel jack (6mm OD × 2.5mm ID)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRecommended PSU (Typical)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e70W (12V @ 6A)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRecommended PSU (Peak)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e150W (15V @ 10A)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions (with case)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e120 × 121 × 51 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight (with case + packaging)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~126 g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEnclosure\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePre-installed transparent acrylic protective case\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eRDK S100 vs RDK X5 vs RDK X3 — Series Comparison\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eRDK X3\u003c\/th\u003e\n\u003cth\u003eRDK X5\u003c\/th\u003e\n\u003cth\u003eRDK S100\u003c\/th\u003e\n\u003cth\u003eRDK S100P\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePositioning\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEntry-Level AI\u003c\/td\u003e\n\u003ctd\u003eMainstream AI\u003c\/td\u003e\n\u003ctd\u003eHigh-End Robotics\u003c\/td\u003e\n\u003ctd\u003eFlagship Robotics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU (BPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5 TOPS\u003c\/td\u003e\n\u003ctd\u003e10 TOPS\u003c\/td\u003e\n\u003ctd\u003e80 TOPS\u003c\/td\u003e\n\u003ctd\u003e128 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4× A53 @ 1.5GHz\u003c\/td\u003e\n\u003ctd\u003e8× A55 @ 1.8GHz\u003c\/td\u003e\n\u003ctd\u003e6× A55 (lockstep)\u003c\/td\u003e\n\u003ctd\u003e6× A55 (lockstep)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMCU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003e4× Cortex-R7\u003c\/td\u003e\n\u003ctd\u003e4× Cortex-R7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eMali-G78AE 100GFLOPS\u003c\/td\u003e\n\u003ctd\u003eMali-G78AE 100GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR4\u003c\/td\u003e\n\u003ctd\u003e4\/8GB LPDDR4x\u003c\/td\u003e\n\u003ctd\u003e12GB LPDDR5\u003c\/td\u003e\n\u003ctd\u003e24GB LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTF Card\u003c\/td\u003e\n\u003ctd\u003eNAND + TF Card\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC + M.2\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC + M.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 3.0\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × Type-A\u003c\/td\u003e\n\u003ctd\u003e4 × Type-A\u003c\/td\u003e\n\u003ctd\u003e4 × Type-A\u003c\/td\u003e\n\u003ctd\u003e4 × Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × GbE\u003c\/td\u003e\n\u003ctd\u003e1 × GbE (PoE)\u003c\/td\u003e\n\u003ctd\u003e2 × GbE\u003c\/td\u003e\n\u003ctd\u003e2 × GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V\/3A (15W)\u003c\/td\u003e\n\u003ctd\u003e5V\/5A (25W)\u003c\/td\u003e\n\u003ctd\u003e12~20V (70~150W)\u003c\/td\u003e\n\u003ctd\u003e12~20V (70~150W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSize\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e85×56×20mm\u003c\/td\u003e\n\u003ctd\u003e85×56×20mm\u003c\/td\u003e\n\u003ctd\u003e120×121×51mm\u003c\/td\u003e\n\u003ctd\u003e120×121×51mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eReference Documents:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/rdk_doc\/en\/rdk_s\/Quick_start\" rel=\"noopener\" target=\"_blank\"\u003eRDK S100 Quick Start Guide (Official Wiki)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/\" rel=\"noopener\" target=\"_blank\"\u003eD-Robotics Developer Community — Documentation \u0026amp; SDK Downloads\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/rdk_model_zoo\" rel=\"noopener\" target=\"_blank\"\u003eRDK Model Zoo — Pre-trained AI Models (GitHub)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/rdk-s100.htm\" rel=\"noopener\" target=\"_blank\"\u003eRDK S100 Product Page (Waveshare)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eApplication\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eQuadruped \u0026amp; Humanoid Robot Locomotion\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— The dedicated Cortex-R7 MCU handles high-frequency servo communication and motion interpolation while the BPU runs terrain perception and gait planning models, enabling dynamic locomotion on complex terrain\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDexterous Manipulation \u0026amp; Grasping\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Run complex manipulation policies (Transformer-based, reinforcement learning) on the 80\/128 TOPS BPU with real-time joint control via the MCU domain, achieving microsecond-level motion precision\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Mobile Robot (AMR) Navigation\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Dual Gigabit Ethernet enables simultaneous LiDAR and camera connectivity; the BPU accelerates 3D perception, occupancy prediction, and path planning for warehouse and factory logistics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Sensor Fusion \u0026amp; 3D SLAM\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Mali-G78AE GPU accelerates map rendering while the BPU processes visual and LiDAR data for real-time SLAM in large-scale environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge LLM \u0026amp; Embodied AI\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 12GB (S100) or 24GB (S100P) LPDDR5 enables deployment of large language models and vision-language models for natural language robot interaction and task planning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Inspection \u0026amp; Safety-Critical Systems\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— DCLS lockstep Cortex-A55 cores and Split-Lock mode provide functional safety compliance for industrial robotics and automotive applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Soccer \u0026amp; Competition Robotics\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 200+ open-source algorithms include humanoid robot soccer control, enabling rapid development for RoboCup and similar competitions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch \u0026amp; Academic Robotics Labs\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Complete development ecosystem with hardware-software co-design, cloud integration, and extensive documentation for advanced robotics research\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003ePacking List\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK S100 \/ S100P Development Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePre-installed with transparent acrylic protective case\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Adapter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDC power supply (CN plug, compatible with US plug), 12V~20V output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eQ1: What is the difference between RDK S100 and RDK S100P?\u003c\/strong\u003e\u003cbr\u003eThe two models share identical interfaces, physical dimensions, and architecture. The key differences are:\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK S100\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003edelivers\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e80 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eNPU inference with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e12GB LPDDR5\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ememory, while\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK S100P\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eprovides\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e128 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(60% more AI throughput) with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e24GB LPDDR5\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(double the memory). Choose the S100 for standard robotics perception and control workloads. Choose the S100P for large-model deployment (LLM, Vision-Language Models), complex multi-modal AI systems, or applications requiring maximum memory bandwidth and inference throughput.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ2: What is the \"Dual-Brain\" architecture and why does it matter?\u003c\/strong\u003e\u003cbr\u003eUnlike conventional SBCs where a single CPU handles everything, the RDK S100's \"人启双脑\" (Human-Inspired Dual-Brain) architecture assigns dedicated processors to distinct domains: the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBPU Nash runs AI perception and motion control models\u003c\/strong\u003e, while the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4× Cortex-R7 MCU handles real-time motion command interpolation and high-frequency servo bus communication\u003c\/strong\u003e. This separation eliminates the latency bottleneck of running time-critical motor control on a general-purpose CPU, achieving microsecond-level motion precision — critical for dynamic legged locomotion and dexterous manipulation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ3: How does the RDK S100 compare to RDK X5 and RDK X3?\u003c\/strong\u003e\u003cbr\u003eThe RDK S100 is positioned as the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ehigh-end robotics platform\u003c\/strong\u003e, significantly more powerful than the X3 (5 TOPS) and X5 (10 TOPS). Key upgrades include:\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e80\/128 TOPS BPU Nash\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(vs 5\/10 TOPS), dedicated\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eCortex-R7 MCU\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor real-time motion control (X3\/X5 have none),\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eMali-G78AE GPU\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(X3\/X5 have none),\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e12\/24GB LPDDR5\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(vs 4\/8GB LPDDR4x),\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e64GB eMMC + M.2 NVMe\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(vs NAND Flash \/ TF Card),\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003edual Gigabit Ethernet\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(vs single), and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003efunctional safety cores\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(DCLS lockstep). The S100 targets advanced robotics (quadrupeds, humanoids, manipulators), while X3\/X5 are optimized for general AI perception and edge inference.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ4: What operating system and development tools are supported?\u003c\/strong\u003e\u003cbr\u003eThe RDK S100 runs a Linux-based operating system maintained by D-Robotics. Development is supported through the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK Studio IDE\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor application development,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNodeHub\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor one-click algorithm deployment, and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK Cloud\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor cloud integration. The platform provides\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e200+ open-source algorithms\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ecovering object detection, V-SLAM, occupancy prediction, motion planning, and more. Official documentation is available at the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/rdk_doc\/en\/rdk_s\/Quick_start\" rel=\"noopener\" target=\"_blank\"\u003eRDK S100 Quick Start Wiki\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ5: Can I connect Wi-Fi and Bluetooth to the RDK S100?\u003c\/strong\u003e\u003cbr\u003eYes. The board provides an\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eM.2 Key E slot\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(PCIe 3.0 x1 + UART) designed for installing a Wi-Fi and Bluetooth module. The module is\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003enot included by default\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand must be purchased separately. Compatible M.2 Key E wireless modules (such as Intel AX200\/AX210 series) can be installed for Wi-Fi 6 and Bluetooth 5.x connectivity.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ6: What power supply do I need?\u003c\/strong\u003e\u003cbr\u003eThe RDK S100 accepts\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e12V ~ 20V DC\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003einput via a barrel jack connector (6mm OD × 2.5mm ID). For typical development workloads, a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e70W power supply (12V @ 6A)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis recommended. For peak loads with multiple cameras, LiDAR, and full AI inference, a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e150W power supply (15V @ 10A)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis recommended. The included power adapter comes with a CN plug (compatible with US plug); EU\/UK users may need a plug adapter or a locally-sourced 12~20V DC power supply.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ7: What cameras and sensors can I connect?\u003c\/strong\u003e\u003cbr\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e100-pin camera expansion connector\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esupports MIPI CSI camera modules via expansion boards (sold separately). The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4 × USB 3.0 ports\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ecan connect USB cameras, depth sensors (RealSense, Orbbec), and LiDAR units (Livox, RoboSense). The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003edual Gigabit Ethernet\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eports support network-attached sensors. The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e40-pin GPIO\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e16-pin MCU GPIO\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eheaders provide I2C, SPI, and UART connections for IMUs, encoders, ToF sensors, and other peripherals.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ8: Does the RDK S100 support ROS 2?\u003c\/strong\u003e\u003cbr\u003eYes. The RDK S100 is designed for robotic applications and supports the D-Robotics\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eTogetheROS.Bot\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003emiddleware stack, which is compatible with ROS 2. With dual Gigabit Ethernet and extensive expansion headers, it can serve as the central compute node in a ROS 2 robotic system, running perception, planning, and control nodes simultaneously.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ9: What are the DCLS lockstep and Split-Lock CPU features?\u003c\/strong\u003e\u003cbr\u003eThe RDK S100's 6× Cortex-A55 CPU includes\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e1 pair of DCLS (Dual-Core Lock-Step) cores\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ethat execute the same instructions simultaneously and compare results for error detection — a functional safety mechanism required in ISO 26262 (automotive) and IEC 61508 (industrial) applications. Additionally,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2 cores support Split-Lock mode\u003c\/strong\u003e, allowing them to operate independently (Split) for maximum performance or in lock-step (Lock) for safety-critical redundancy. These features make the RDK S100 suitable for safety-certified robotic deployments.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ10: What is the warranty policy for the RDK S100?\u003c\/strong\u003e\u003cbr\u003ePlease refer to the manufacturer's warranty policy as specified on the product packaging or official documentation. For warranty claims and technical support, contact the point of purchase or visit the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/\" rel=\"noopener\" target=\"_blank\"\u003eD-Robotics Developer Community\u003c\/a\u003e.\u003c\/p\u003e","brand":"D-Robotics","offers":[{"title":"RDK S100","offer_id":45780626964678,"sku":"D-Robotics-31641","price":799.0,"currency_code":"EUR","in_stock":true},{"title":"RDK S100P","offer_id":45780626997446,"sku":"D-Robotics-32030","price":1399.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/imgi_38_rdk-s100-1_2.png?v=1777277760"},{"product_id":"d-robotics-rdk-s100-camera","title":"D-Robotics RDK S100 Camera Expansion Board","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe D-Robotics RDK S100 Camera Expansion Board is designed to extend the camera connectivity of the RDK S100 robotics development kit. It provides multiple camera interfaces, enabling developers to integrate vision sensors for robotics, AI vision, and multi-modal applications. With plug-and-play compatibility and robust design, it is ideal for research, prototyping, and advanced robotics projects.\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/wechat_longscreenshot_2026-04-27_163933_583.png?v=1777279194\" alt=\"\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDedicated expansion board for RDK S100\u003c\/li\u003e\n\u003cli\u003eSupports multiple camera modules simultaneously\u003c\/li\u003e\n\u003cli\u003eHigh-speed data transfer for AI vision tasks\u003c\/li\u003e\n\u003cli\u003eCompact design with easy installation\u003c\/li\u003e\n\u003cli\u003eCompatible with official RDK S100 software stack\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eSpecification\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eInterface: Camera expansion slots compatible with RDK S100\u003c\/li\u003e\n\u003cli\u003eSupported Cameras: CSI\/USB camera modules\u003c\/li\u003e\n\u003cli\u003eDimensions: Compact PCB form factor\u003c\/li\u003e\n\u003cli\u003ePower Supply: Powered via RDK S100 mainboard\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eHardware Overview\u003c\/h2\u003e\n\u003cp\u003eThe Camera Expansion Board connects directly to the RDK S100 mainboard, providing additional camera interfaces for vision-based applications. It supports simultaneous multi-camera input, enabling stereo vision, depth perception, and advanced AI vision tasks. The board is engineered for stability and high-speed data throughput, ensuring reliable performance in robotics environments.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eApplication\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics vision systems\u003c\/li\u003e\n\u003cli\u003eAutonomous navigation with multi-camera input\u003c\/li\u003e\n\u003cli\u003eAI-based object detection and tracking\u003c\/li\u003e\n\u003cli\u003eResearch and education in computer vision\u003c\/li\u003e\n\u003cli\u003ePrototype development for smart robotics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eDocuments\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/d-robotics.github.io\/rdk_doc\/en\/rdk_s\/Quick_start\" target=\"_blank\"\u003e RDK S100 Series Quick Start Guide \u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/d-robotics.github.io\/rdk_doc\/en\/\" target=\"_blank\"\u003e RDK S100 \/ Camera Expansion Board User Manual \u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Main_Page\" target=\"_blank\"\u003e Waveshare Official Wiki \u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/rdk_doc\/en\/rdk_s\/Quick_start\" target=\"_blank\"\u003e Developer Portal – Camera Expansion Resources \u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRDK S100 Camera Expansion Board ×1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cp\u003e\u003cb\u003eQ:\u003c\/b\u003e What is the purpose of the Camera Expansion Board?\u003cbr\u003e\u003cb\u003eA:\u003c\/b\u003e It extends the RDK S100 with multiple camera interfaces for AI vision and robotics applications.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eQ:\u003c\/b\u003e Which camera modules are supported?\u003cbr\u003e\u003cb\u003eA:\u003c\/b\u003e CSI and USB camera modules compatible with RDK S100.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eQ:\u003c\/b\u003e Does it require an external power supply?\u003cbr\u003e\u003cb\u003eA:\u003c\/b\u003e No, it is powered directly via the RDK S100 mainboard.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eQ:\u003c\/b\u003e Can I use multiple cameras simultaneously?\u003cbr\u003e\u003cb\u003eA:\u003c\/b\u003e Yes, the board supports multi-camera input for stereo and depth vision.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eQ:\u003c\/b\u003e Where can I find documentation?\u003cbr\u003e\u003cb\u003eA:\u003c\/b\u003e On the official D-Robotics documentation site and Waveshare Wiki.\u003c\/p\u003e\n\u003chr\u003e","brand":"D-Robotics","offers":[{"title":"Default Title","offer_id":45780897333446,"sku":"D-Robotics-31642","price":79.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/imgi_18_RDK-S100-Camera-Expansion-Board-pack.webp?v=1777280198"},{"product_id":"d-robotics-rdk-x5-development","title":"D-Robotics RDK X5 Development Kit Sunrise 5 AI Chip Cortex A55 10TOPs","description":"\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eD-Robotics RDK X5\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis an intelligent robot development board powered by the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSunrise 5 AI SoC\u003c\/strong\u003e, delivering\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e10 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eof neural processing power through its dedicated BPU (Brain Processing Unit). Built around an\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eocta-core ARM Cortex-A55\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eprocessor, the RDK X5 provides a credit-card-sized (85 × 56 mm) platform with exceptional AI inference capabilities, rich peripheral interfaces, and seamless integration with the TogetheROS.Bot framework — making it an ideal choice for robotic perception, edge AI deployment, and autonomous navigation applications.\u003c\/p\u003e\n\u003cp\u003eWhether you are building an autonomous mobile robot, a vision-guided manipulator, or an edge AI prototype, the RDK X5 combines high-performance computing with a beginner-friendly software ecosystem. The board supports out-of-the-box deployment of advanced algorithms including\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eYOLO object detection, stereo vision, occupancy networks, and even large language models (LLMs)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eat the edge. With\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eWi-Fi 6, Bluetooth 5.4, dual MIPI CSI cameras, HDMI output, PoE Ethernet, CAN FD, and a 40-pin GPIO header\u003c\/strong\u003e, the RDK X5 covers virtually every connectivity requirement for modern robotic systems.\u003c\/p\u003e\n\u003cp\u003eAvailable in\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8GB LPDDR4x\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ememory variants, the RDK X5 is offered in both\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSingle Board\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBasic Kit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003econfigurations to suit different project stages — from bare-metal prototyping to plug-and-play development.\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/wechat_longscreenshot_2026-04-27_170600_569.png?v=1777282173\" alt=\"\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/2026-04-27_170800_911.png?v=1777282187\" alt=\"\" style=\"display: block; margin-left: auto; margin-right: auto;\" class=\"\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSunrise 5 AI SoC with 10 TOPS BPU\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Dedicated Brain Processing Unit for high-efficiency neural network inference, supporting INT8\/INT4 quantization and advanced models including Transformer, RWKV, and CLIP at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOcta-Core Cortex-A55 @ up to 1.8 GHz\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Powerful application processor capable of handling multi-task workloads, real-time control loops, and concurrent AI pipelines\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4GB \/ 8GB LPDDR4x Memory Options\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 4GB variant ideal for standard YOLO inference and robotics control; 8GB variant optimized for large edge models (LLM), multi-camera stereo vision, and complex perception stacks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 4-Lane MIPI CSI-2 (MIPI v2.1)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Connect up to two high-resolution cameras simultaneously for stereo depth estimation, multi-view perception, or simultaneous RGB + depth sensing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHDMI Output + 4-Lane MIPI DSI\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 1080P@60fps display via HDMI and an additional MIPI DSI interface for embedded display panels — ideal for HMI and debug visualization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4 × USB 3.0 Host + USB 2.0 Type-C OTG\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— High-bandwidth USB 3.0 ports for cameras, LiDAR, and external storage; USB 2.0 Type-C for device mode and serial console\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGigabit Ethernet with PoE Support\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 1000Mbps RJ45 port with Power-over-Ethernet capability for simplified single-cable deployment in robotic and industrial environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi 6 (2.4\/5 GHz Dual-Band) + Bluetooth 5.4\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Wireless connectivity with onboard high-performance antenna and IPEX connector for external antenna options\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCAN FD + 40-Pin GPIO Header\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 28 GPIOs with native SPI, I2C, I2S, PWM, and UART support; CAN FD bus for motor controllers and industrial communication\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboard 3.5mm Audio Jack\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Combined audio input\/output for voice interaction, sound localization, or TTS-based HMI feedback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRDK OS (Linux-Based) + RDK Studio IDE\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Complete development environment with RDK Studio for application development, RDK Nodehub for one-click app deployment, and RDK Cloud integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTogetheROS.Bot (ROS 2 Compatible)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Native integration with the TogetheROS.Bot middleware stack, providing ROS 2 node support, Livox LiDAR drivers, and a rich open-source model zoo (rdk_model_zoo) with 296+ GitHub stars\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRich AI Algorithm Library\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Pre-integrated open-source algorithms including YOLO, Occupancy Networks, Stereo Vision, Perception, and World Model — all deployable with one-click tooling\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge LLM Support\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Deploy large language models at the edge with native Volcengine LLM Gateway integration (complimentary traffic included), enabling on-device conversational AI\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Form Factor: 85 × 56 × 20 mm\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Credit-card-sized footprint with versatile mounting options; only 5V\/5A power input via Type-C PD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide Operating Temperature: -20°C ~ 60°C\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Suitable for indoor lab environments as well as outdoor robotic deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI SoC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSunrise 5 (Horizon Robotics)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOcta-Core ARM Cortex-A55, up to 1.8 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU (BPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10 TOPS, supports INT8 \/ INT4 quantization\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory (RAM)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB \/ 8GB LPDDR4x (optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnboard Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 Gbit NAND Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMicroSD \/ TF Card slot, UHS-I supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating System\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRDK OS (Linux-based)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eCamera \u0026amp; Display\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIPI CSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × 4-lane MIPI CSI-2 (MIPI v2.1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHDMI Output\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI Type-A, up to 1080P @ 60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIPI DSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × 4-lane MIPI DSI (MIPI v1.2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eConnectivity\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × RJ45, 1000Mbps, with PoE support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWi-Fi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6 (802.11ax), 2.4 GHz \/ 5 GHz dual-band\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBluetooth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAntenna\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOnboard high-performance antenna + IPEX connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN FD\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × CAN FD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eUSB Ports\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 3.0 Host\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 2.0 Device (OTG)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 2.0 Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 2.0 Console\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 2.0 Micro-B (UART)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eExpansion \u0026amp; I\/O\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e40-Pin GPIO Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e28 × GPIO, 3.3V logic, supports SPI, I2C, I2S, PWM, UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExternal Power Output\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V \/ 3.3V via GPIO header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAudio\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × 3.5mm combo jack (input + output)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003ePower \u0026amp; Physical\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V \/ 5A (25W) via Type-C PD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoard Dimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e85 × 56 × 20 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~339 g (4GB Basic Kit with accessories)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-20°C ~ 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eVariant Comparison\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eFeature\u003c\/th\u003e\n\u003cth\u003e4GB Single Board\u003c\/th\u003e\n\u003cth\u003e8GB Single Board\u003c\/th\u003e\n\u003cth\u003e4GB Basic Kit\u003c\/th\u003e\n\u003cth\u003e8GB Basic Kit\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR4x\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4x\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR4x\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDevelopment Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e64GB TF Card\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHeatsink\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCard Reader\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB Type-A to Type-C Cable\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e27W PD Power Adapter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMulti-Plug Adapters (US\/EU\/UK)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBest For\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eExisting setups\u003c\/td\u003e\n\u003ctd\u003eExisting setups\u003c\/td\u003e\n\u003ctd\u003eQuick start\u003c\/td\u003e\n\u003ctd\u003eAI-heavy workloads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eReference Documents:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/\" rel=\"noopener\" target=\"_blank\"\u003eD-Robotics Developer Community — Documentation \u0026amp; SDK Downloads\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/x5-rdk-gen\" rel=\"noopener\" target=\"_blank\"\u003eRDK OS Image Build Tools (GitHub)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/rdk_model_zoo\" rel=\"noopener\" target=\"_blank\"\u003eRDK Model Zoo — Pre-trained AI Models for X5 (GitHub)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/rdk-x5.htm\" rel=\"noopener\" target=\"_blank\"\u003eRDK X5 Product Page (Waveshare)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eApplication\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Mobile Robots (AMR)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Leverage dual MIPI CSI cameras for visual SLAM, obstacle avoidance, and path planning with the 10 TOPS NPU accelerating real-time perception pipelines\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotic Vision \u0026amp; Perception\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Deploy YOLO object detection, stereo depth estimation, and occupancy networks for robotic manipulation, pick-and-place, and scene understanding\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge AI \u0026amp; LLM Deployment\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Run large language models (Transformer, RWKV) directly on-device with 4GB\/8GB memory, enabling conversational AI, intelligent decision-making, and voice interaction without cloud dependency\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS 2 Robot Development\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Native TogetheROS.Bot integration provides ROS 2 nodes, Livox LiDAR drivers, and sensor fusion frameworks for rapid robot prototyping\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Surveillance \u0026amp; Security\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Multi-camera real-time video analytics with AI-powered detection, classification, and tracking at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducation \u0026amp; Research Labs\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Ideal platform for universities and research labs exploring AI, computer vision, robotics, and embedded machine learning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Inspection\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— CAN FD connectivity for industrial automation, combined with high-performance vision processing for quality control and defect detection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDrone \u0026amp; UAV Payload\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Compact 85 × 56 mm form factor with PoE Ethernet and lightweight design suitable for aerial AI computing platforms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003ePacking List\u003c\/h2\u003e\n\u003ch3\u003eSingle Board \u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK X5 Development Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB or 8GB LPDDR4x, with Sunrise 5 SoC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eBasic Kit \u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK X5 Development Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB or 8GB LPDDR4x, with Sunrise 5 SoC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e64GB MicroSD Card\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePre-loaded with RDK OS image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eHeatsink\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAluminum heatsink for passive cooling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eSD Card Reader\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB card reader for OS flashing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB Type-A to Type-C Cable\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFor power and data connection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e27W PD Power Adapter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V\/5A USB-C PD charger with US\/EU\/UK plug adapters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eQ1: What is the difference between the 4GB and 8GB variants?\u003c\/strong\u003e\u003cbr\u003eThe only hardware difference is the RAM capacity:\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4GB LPDDR4x\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003evs\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8GB LPDDR4x\u003c\/strong\u003e. All other specifications — CPU, NPU (10 TOPS), interfaces, and physical dimensions — are identical. Choose\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor standard YOLO inference, basic robot control, and Linux development. Choose\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003efor running larger edge models (LLM, Transformer), multi-camera stereo vision, or memory-intensive AI workloads.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ2: What is the difference between Single Board and Basic Kit?\u003c\/strong\u003e\u003cbr\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSingle Board\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eincludes only the bare RDK X5 development board — suitable if you already have compatible accessories (power adapter, TF card, heatsink). The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBasic Kit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ebundles the board with a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e64GB TF card (pre-loaded with RDK OS), heatsink, SD card reader, USB Type-A to Type-C cable, and a 27W PD power adapter with multi-region plug adapters\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— everything needed to power on and start developing immediately.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ3: Can I run ROS 2 on the RDK X5?\u003c\/strong\u003e\u003cbr\u003eYes. The RDK X5 natively supports\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eTogetheROS.Bot\u003c\/strong\u003e, D-Robotics' ROS 2-compatible middleware stack. It provides standard ROS 2 nodes, sensor drivers (including Livox LiDAR via\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/livox_ros_driver2\" rel=\"noopener\" target=\"_blank\"\u003elivox_ros_driver2\u003c\/a\u003e), and navigation\/SLAM packages. The\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/robot_dev_config\" rel=\"noopener\" target=\"_blank\"\u003erobot_dev_config\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003erepository provides the build entry point for TogetheROS.Bot on X5.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ4: What AI models and frameworks are supported?\u003c\/strong\u003e\u003cbr\u003eThe RDK X5 supports a wide range of AI models through the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK Model Zoo\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(\u003ca href=\"https:\/\/github.com\/D-Robotics\/rdk_model_zoo\" rel=\"noopener\" target=\"_blank\"\u003eGitHub\u003c\/a\u003e), including\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eYOLO (object detection), Occupancy Networks, Stereo Vision, Perception, and World Model\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ealgorithms. Edge LLM deployment is supported with frameworks like Transformer and RWKV. All models benefit from the 10 TOPS BPU with one-click deployment tooling via RDK Studio.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ5: How do I power the RDK X5?\u003c\/strong\u003e\u003cbr\u003eThe board requires\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e5V\/5A (25W)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003epower input via the USB Type-C port with PD (Power Delivery) protocol. The Basic Kit includes a 27W PD power adapter. The Single Board variant requires you to provide a compatible USB-C PD power supply.\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ePoE (Power over Ethernet)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis also supported through the Gigabit Ethernet port, enabling single-cable power + data connection.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ6: What cameras are compatible with the MIPI CSI interfaces?\u003c\/strong\u003e\u003cbr\u003eThe RDK X5 provides\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2 × 4-lane MIPI CSI-2 (MIPI v2.1)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ecamera interfaces. D-Robotics offers official RDK stereo camera modules. Additionally, third-party MIPI cameras compatible with the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/hobot_mipi_cam\" rel=\"noopener\" target=\"_blank\"\u003ehobot_mipi_cam\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003edriver can be used. The dual-camera setup supports stereo depth estimation for 3D perception and SLAM applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ7: Is the 40-pin GPIO header compatible with Raspberry Pi HATs?\u003c\/strong\u003e\u003cbr\u003eThe RDK X5 features a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e40-pin GPIO header\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewith a similar physical layout to Raspberry Pi, providing 28 GPIOs at 3.3V logic level with native support for\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSPI, I2C, I2S, PWM, and UART\u003c\/strong\u003e. While the pin layout may be similar, electrical compatibility with specific Raspberry Pi HATs should be verified on a case-by-case basis due to potential voltage and signal differences.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ8: What operating system does the RDK X5 run?\u003c\/strong\u003e\u003cbr\u003eThe RDK X5 runs\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK OS\u003c\/strong\u003e, a Linux-based operating system maintained by D-Robotics. System images can be built from source using the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/x5-rdk-gen\" rel=\"noopener\" target=\"_blank\"\u003ex5-rdk-gen\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003etools on Ubuntu 18.04\/20.04\/22.04. Development is facilitated through\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK Studio\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(IDE) and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eRDK Nodehub\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(one-click app launcher). Cloud integration is available via RDK Cloud.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ9: Can the RDK X5 be used for LiDAR-based SLAM?\u003c\/strong\u003e\u003cbr\u003eYes. With\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4 × USB 3.0 ports, Gigabit Ethernet, and CAN FD\u003c\/strong\u003e, the RDK X5 can connect to various LiDAR sensors including Livox, RoboSense, and RPLiDAR via USB or Ethernet. D-Robotics provides an official\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/D-Robotics\/livox_ros_driver2\" rel=\"noopener\" target=\"_blank\"\u003eLivox ROS 2 driver\u003c\/a\u003e, and the TogetheROS.Bot stack includes navigation and SLAM packages. The 10 TOPS NPU can simultaneously handle perception, mapping, and planning tasks.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ10: What is the warranty policy for the RDK X5?\u003c\/strong\u003e\u003cbr\u003ePlease refer to the manufacturer's warranty policy as specified on the product packaging or official documentation. For warranty claims and technical support, contact the point of purchase or visit the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.d-robotics.cc\/\" rel=\"noopener\" target=\"_blank\"\u003eD-Robotics Developer Community\u003c\/a\u003e.\u003c\/p\u003e","brand":"D-Robotics","offers":[{"title":"4GB Single Board","offer_id":45781297529030,"sku":"D-Robotics-28741","price":199.0,"currency_code":"EUR","in_stock":true},{"title":"8GB Single Board","offer_id":45781297561798,"sku":"D-Robotics-28742","price":289.0,"currency_code":"EUR","in_stock":true},{"title":"4GB Basic Kit","offer_id":45781297594566,"sku":"D-Robotics-29118","price":239.0,"currency_code":"EUR","in_stock":true},{"title":"8GB Basic Kit","offer_id":45781297627334,"sku":"D-Robotics-29119","price":329.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/imgi_47_rdk-x5-1_7_1.png?v=1777283003"},{"product_id":"d-robotics-rdk-x3-4gb","title":"D-Robotics RDK X3 4GB Development Kit Cortex-A53 X3M BPU (Brain Processing Unit) 5Tops","description":"\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eD-Robotics RDK X3\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis an ultra-compact AI development board powered by the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSunrise X3M SoC\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewith a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003edual-core Bernoulli-architecture BPU (Brain Processing Unit)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003edelivering\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e5 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eof edge inference performance. Built around a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003equad-core ARM Cortex-A53 @ 1.5 GHz\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eprocessor with\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4GB LPDDR4\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ememory, the RDK X3 provides a Raspberry Pi-compatible (85 × 56 mm) platform optimized for lightweight AI workloads, robotic perception, and cost-sensitive embedded applications.\u003c\/p\u003e\n\u003cp\u003eDespite its compact size and sub-$100 price point, the RDK X3 punches well above its weight class. The integrated BPU accelerates neural network inference for\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eYOLO object detection, image classification, human pose estimation, and VIO (Visual-Inertial Odometry)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— all supported out of the box through the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNodeHub\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eapplication center, which provides over 100 open-source algorithms and ready-to-deploy applications. With\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eH.265 hardware decoding up to 4K@60fps\u003c\/strong\u003e, dual MIPI CSI camera interfaces, HDMI output, Gigabit Ethernet, and a 40-pin GPIO header compatible with Raspberry Pi expansion boards, the RDK X3 covers the essential connectivity requirements for vision-based robotics and edge AI projects.\u003c\/p\u003e\n\u003cp\u003eThe RDK X3 is available in three configurations —\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSingle Board\u003c\/strong\u003e,\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBasic Kit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(with case, power, and accessories), and\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eDev Kit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e(adding an 8MP IMX219 camera and CSI adapter board) — to accommodate every stage of your development workflow, from bare-board integration to full vision system prototyping.\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0935\/3727\/2132\/files\/wechat_longscreenshot_2026-04-27_175929_775.png?v=1777285822\" alt=\"\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSunrise X3M SoC with 5 TOPS BPU\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Dual-core Bernoulli-architecture Brain Processing Unit delivers efficient edge AI inference for object detection, classification, segmentation, and pose estimation at ultra-low power consumption\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eQuad-Core Cortex-A53 @ 1.5 GHz\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Efficient application processor for running Linux, robot control loops, and concurrent AI inference tasks with minimal thermal footprint\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4GB LPDDR4 Memory\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Sufficient for running lightweight YOLO models, stereo vision, and standard robotics middleware simultaneously (2GB variant also available for cost-optimized deployments)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eH.265 (HEVC) Hardware Decode — 4K@60fps\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— High-efficiency video decoding for multi-stream camera processing, enabling real-time video analytics with minimal CPU overhead\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 2-Lane MIPI CSI Camera Interfaces\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Connect up to two MIPI cameras for stereo depth estimation, dual-view perception, or simultaneous RGB + depth sensing via the optional Dev Kit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHDMI 1.4 Output — 1080P@60fps\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Display output for HMI visualization, debug monitoring, and real-time inference result preview\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1 × USB 3.0 + 2 × USB 2.0 Host\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— USB 3.0 for high-bandwidth peripherals (cameras, LiDAR); USB 2.0 ports for mice, keyboards, and general accessories\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGigabit Ethernet (RJ45)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— 1000Mbps wired networking for low-latency data transfer, ROS 2 communication, and remote development access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi (2.4\/5 GHz, 802.11 b\/g\/n) + Bluetooth 4.2\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Wireless connectivity for untethered robot operation, OTA updates, and wireless peripheral pairing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e40-Pin GPIO Header (Raspberry Pi Compatible)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Drop-in compatible with a wide ecosystem of Raspberry Pi HATs, pHATs, and expansion boards, supporting PCM\/I2S signal protocols\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltra-Lightweight — Only 29g\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Ideal for weight-sensitive applications including drones, small-form-factor robots, and portable edge devices\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUltra-Wide Temperature Range: -25°C ~ 95°C\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Suitable for extreme environments including outdoor robotics, automotive applications, and industrial installations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNodeHub — 100+ Open-Source Algorithms\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— One-click deployment of pre-built applications including traffic light detection, VIO, humanoid robot soccer control, toy car line tracking, and deep learning autonomous driving\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUbuntu 20.04 \/ 22.04 Support\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Standard Linux environment with familiar toolchain, enabling seamless integration with ROS 2, OpenCV, Python, and C++ development workflows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCE \/ MIC \/ SRRC Certified\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Fully compliant with international electromagnetic compatibility and radio regulatory standards\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI SoC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSunrise X3M (Horizon Robotics)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQuad-Core ARM Cortex-A53, 1.5 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU (BPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual-core Bernoulli Architecture, 5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory (RAM)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR4 (2GB variant also available)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnboard Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNone (boot via MicroSD\/TF card)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMicroSD \/ TF Card slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating System\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu 20.04 \/ 22.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eMultimedia\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eH.265 (HEVC) Main Profile L5.1, up to 4K@60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJPEG\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEncode\/Decode, up to 16 Megapixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHDMI Output\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × HDMI 1.4 Type-A, up to 1080P@60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIPI CSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × 2-lane MIPI CSI camera interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eConnectivity\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × RJ45, 1000Mbps Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWi-Fi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e802.11 b\/g\/n, 2.4 GHz \/ 5 GHz dual-band\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBluetooth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBluetooth 4.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eUSB Ports\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 3.0 Host\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 3.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 2.0 Host\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × USB 2.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 2.0 Device\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × Micro USB 2.0 (power + data)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eExpansion \u0026amp; Debug\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e40-Pin GPIO Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi compatible pinout, supports PCM\/I2S signals\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDebug UART\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × Debug UART interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003ePower \u0026amp; Physical\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V \/ 3A (15W) via USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoard Dimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e85 × 56 × 20 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoard Weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~29 g (board only)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-25°C ~ 95°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCE, MIC, SRRC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eVariant Comparison\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eFeature\u003c\/th\u003e\n\u003cth\u003eSingle Board\u003c\/th\u003e\n\u003cth\u003eBasic Kit\u003c\/th\u003e\n\u003cth\u003eDev Kit\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK X3 Board (4GB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK-Case-A Enclosure + Hardware\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUART Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e4-Pin Cable\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e64GB TF Card + Card Reader\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e5V 3A Type-C Power Adapter (US\/EU\/UK)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eIMX219-77 Camera (8MP, 79.3° FOV, FFC cable)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eX3 Pi CSI Adapter Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e—\u003c\/td\u003e\n\u003ctd\u003e✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBest For\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIntegration into existing systems\u003c\/td\u003e\n\u003ctd\u003eGeneral development \u0026amp; prototyping\u003c\/td\u003e\n\u003ctd\u003eVision \u0026amp; AI application development\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eRDK X3 vs RDK X5 — Quick Comparison\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003cth\u003eRDK X3\u003c\/th\u003e\n\u003cth\u003eRDK X5\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSoC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSunrise X3M\u003c\/td\u003e\n\u003ctd\u003eSunrise 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eQuad-Core Cortex-A53 @ 1.5 GHz\u003c\/td\u003e\n\u003ctd\u003eOcta-Core Cortex-A55 @ 1.8 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNPU (BPU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5 TOPS (Dual-core Bernoulli)\u003c\/td\u003e\n\u003ctd\u003e10 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2GB \/ 4GB LPDDR4\u003c\/td\u003e\n\u003ctd\u003e4GB \/ 8GB LPDDR4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB 3.0\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × Type-A\u003c\/td\u003e\n\u003ctd\u003e4 × Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIPI CSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × 2-lane\u003c\/td\u003e\n\u003ctd\u003e2 × 4-lane (v2.1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWi-Fi \/ BT\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 4 (b\/g\/n) \/ BT 4.2\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6 \/ BT 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePoE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCAN FD\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIPI DSI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V \/ 3A (15W)\u003c\/td\u003e\n\u003ctd\u003e5V \/ 5A (25W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoard Weight\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e~29 g\u003c\/td\u003e\n\u003ctd\u003e~339 g (with kit accessories)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTemp. Range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-25°C ~ 95°C\u003c\/td\u003e\n\u003ctd\u003e-20°C ~ 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eReference Documents:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.d-robotics.cc\/\" target=\"_blank\"\u003eD-Robotics Developer Community — Documentation \u0026amp; SDK Downloads\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/D-Robotics\/rdk_model_zoo\" target=\"_blank\"\u003eRDK Model Zoo — Pre-trained AI Models (GitHub)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/D-Robotics\/hobot_mipi_cam\" target=\"_blank\"\u003eMIPI Camera Driver for RDK (GitHub)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca rel=\"noopener\" href=\"https:\/\/www.waveshare.com\/rdk-x3.htm\" target=\"_blank\"\u003eRDK X3 Product Page (Waveshare)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003eApplication\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEntry-Level Robotic Perception\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Deploy lightweight YOLO models on the 5 TOPS BPU for real-time object detection, human tracking, and obstacle avoidance in mobile robots and rovers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVision-Based Autonomous Driving\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Leverage H.265 4K@60fps decode and dual MIPI cameras for lane detection, traffic sign recognition, and deep learning-based line-following applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisual-Inertial Odometry (VIO)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Run VIO algorithms out of the box via NodeHub for precise position estimation in GPS-denied environments, ideal for drone and indoor robot navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi Replacement \/ Upgrade\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Drop-in compatible 40-pin GPIO header allows reuse of existing Raspberry Pi HATs and pHATs while adding powerful AI inference capabilities\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge AI Prototyping\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Ultra-light 29g form factor and low 15W power envelope make the RDK X3 ideal for UAV payloads, portable devices, and space-constrained embedded systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducation \u0026amp; STEM\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— NodeHub's 100+ pre-built applications (soccer robot control, toy car tracking, traffic light detection) provide ready-made curricula for AI and robotics education\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Camera \u0026amp; Video Analytics\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— H.265 hardware decoding combined with NPU inference enables multi-stream video analysis for security, monitoring, and quality inspection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS 2 Development\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— Ubuntu 20.04\/22.04 support enables seamless ROS 2 integration for sensor fusion, navigation, and multi-robot coordination\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch2\u003ePacking List\u003c\/h2\u003e\n\u003ch3\u003eSingle Board\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK X3 Development Board (4GB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSunrise X3M SoC, 4GB LPDDR4, 85 × 56 × 20 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eBasic Kit\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK X3 Development Board (4GB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSunrise X3M SoC, 4GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK-Case-A Enclosure\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eProtective case with mounting hardware\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eUART Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSerial debug interface module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e4-Pin Cable\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFor UART \/ debug connection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e64GB MicroSD Card\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePre-loaded with Ubuntu OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eSD Card Reader\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB card reader for OS flashing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e5V 3A Type-C Power Adapter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWith US \/ EU \/ UK plug adapters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3\u003eDev Kit\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK X3 Development Board (4GB)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSunrise X3M SoC, 4GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRDK-Case-A Enclosure\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eProtective case with mounting hardware\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eUART Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSerial debug interface module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e4-Pin Cable\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFor UART \/ debug connection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e64GB MicroSD Card\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePre-loaded with Ubuntu OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eSD Card Reader\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB card reader for OS flashing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e5V 3A Type-C Power Adapter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWith US \/ EU \/ UK plug adapters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e8\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eIMX219-77 Camera Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8MP, 79.3° FOV, with FFC cable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e9\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eX3 Pi CSI Adapter Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMIPI CSI interface adapter for IMX219\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003chr\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eQ1: What is the difference between the Single Board, Basic Kit, and Dev Kit?\u003c\/strong\u003e\u003cbr\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eSingle Board\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eincludes only the bare RDK X3 board (4GB) — suitable for integration into existing systems or for developers who already have compatible accessories. The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eBasic Kit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eadds a protective case (\u003cstrong\u003eRDK-Case-A\u003c\/strong\u003e), UART debug module, 4-pin cable, 64GB TF card with pre-loaded OS, card reader, and a 5V\/3A power adapter with multi-region plug adapters. The\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eDev Kit\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eincludes everything in the Basic Kit plus an\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e8MP IMX219-77 camera module (79.3° FOV, with FFC cable)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand an\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eX3 Pi CSI adapter board\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e— everything needed for vision and AI application development out of the box.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ2: How does the RDK X3 compare to the RDK X5?\u003c\/strong\u003e\u003cbr\u003eThe RDK X3 is the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eentry-level, cost-optimized\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esibling of the X5. Key differences: the X3 has a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003equad-core Cortex-A53 @ 1.5 GHz\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003evs the X5's octa-core Cortex-A55 @ 1.8 GHz;\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e5 TOPS\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eBPU vs 10 TOPS;\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eWi-Fi 4 \/ BT 4.2\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003evs Wi-Fi 6 \/ BT 5.4; no PoE or CAN FD; and a single USB 3.0 port vs four. However, the X3 offers a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ewider operating temperature (-25°C ~ 95°C)\u003c\/strong\u003e, a significantly lower board weight (29g), and lower power consumption (15W vs 25W). Choose the X3 for lightweight, cost-sensitive applications; choose the X5 for maximum AI performance and connectivity.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ3: Can I use Raspberry Pi HATs with the RDK X3?\u003c\/strong\u003e\u003cbr\u003eYes. The RDK X3 features a\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e40-pin GPIO header with Raspberry Pi-compatible pinout\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand supports PCM\/I2S signal protocols. Many Raspberry Pi expansion boards, sensors, and displays can be connected directly. However, electrical compatibility should be verified for specific HATs due to potential voltage or signal differences between platforms.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ4: What AI models and algorithms are available?\u003c\/strong\u003e\u003cbr\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNodeHub\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eapplication center provides\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e100+ open-source algorithms and applications\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003edeployable with one click, including traffic light detection, visual-inertial odometry (VIO), humanoid robot soccer control, toy car line tracking, and deep learning autonomous driving. Additionally, the\u003cspan\u003e \u003c\/span\u003e\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/D-Robotics\/rdk_model_zoo\" target=\"_blank\"\u003eRDK Model Zoo\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eon GitHub offers pre-trained YOLO and other models optimized for the X3 BPU.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ5: Does the RDK X3 support ROS 2?\u003c\/strong\u003e\u003cbr\u003eYes. The RDK X3 runs\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eUbuntu 20.04 \/ 22.04\u003c\/strong\u003e, which provides native support for ROS 2 Humble and Foxy. Combined with the available MIPI camera drivers (\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/D-Robotics\/hobot_mipi_cam\" target=\"_blank\"\u003ehobot_mipi_cam\u003c\/a\u003e), you can build complete ROS 2 perception and navigation pipelines.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ6: What cameras work with the RDK X3?\u003c\/strong\u003e\u003cbr\u003eThe Dev Kit includes the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eIMX219-77 camera module (8MP, 79.3° FOV)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ewith an X3 Pi CSI adapter board. The board provides\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2 × 2-lane MIPI CSI interfaces\u003c\/strong\u003e. Third-party MIPI cameras compatible with the hobot_mipi_cam driver may also work. For stereo vision, two cameras can be connected simultaneously — one to each MIPI CSI port.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ7: How do I power the RDK X3?\u003c\/strong\u003e\u003cbr\u003eThe RDK X3 requires\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e5V \/ 3A (15W)\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003epower via the USB Type-C port. The Basic Kit and Dev Kit include a compatible 5V\/3A power adapter with US\/EU\/UK plug adapters. When using the Single Board, ensure your power supply can deliver at least 5V\/3A. Note: unlike the RDK X5, the X3 does\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003enot\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003esupport Power-over-Ethernet (PoE).\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ8: Can the RDK X3 decode 4K video?\u003c\/strong\u003e\u003cbr\u003eYes. The Sunrise X3M SoC includes\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ehardware H.265 (HEVC) decoding up to 4K@60fps (Main Profile L5.1)\u003c\/strong\u003e. This enables efficient multi-camera video processing and real-time analytics with minimal CPU load, making it suitable for video surveillance, streaming, and vision-based AI applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ9: Is the 2GB variant available?\u003c\/strong\u003e\u003cbr\u003eYes. The RDK X3 is available in both\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e2GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e4GB LPDDR4\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003evariants. The 2GB version is suitable for lighter workloads such as basic YOLO inference, simple robot control, and headless Linux applications. The 4GB version is recommended for multi-camera setups, larger AI models, and memory-intensive perception stacks.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ10: What is the warranty policy for the RDK X3?\u003c\/strong\u003e\u003cbr\u003ePlease refer to the manufacturer's warranty policy as specified on the product packaging or official documentation. For warranty claims and technical support, contact the point of purchase or visit the\u003cspan\u003e \u003c\/span\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.d-robotics.cc\/\" target=\"_blank\"\u003eD-Robotics Developer Community\u003c\/a\u003e.\u003c\/p\u003e","brand":"D-Robotics","offers":[{"title":"Single Board","offer_id":45781681111238,"sku":"D-Robotics-28551","price":139.0,"currency_code":"EUR","in_stock":true},{"title":"Basic Kit","offer_id":45781681144006,"sku":"D-Robotics-29472","price":189.0,"currency_code":"EUR","in_stock":true},{"title":"Dev Kit","offer_id":45781681176774,"sku":"D-Robotics-31448","price":199.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/imgi_62_rdk-x3-4_3_1_1.png?v=1777286106"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/collections\/128210416.webp?v=1780307344","url":"https:\/\/openelab.io\/collections\/brands-d-robotics.oembed","provider":"OpenELAB Technology Ltd.","version":"1.0","type":"link"}