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A baseboard for NVIDIA Jetson AGX Orin 32GB and 64GB modules, enabling the development of high-performance embedded AI systems with up to 275 TOPS. It supports eight GMSL2 cameras and four CSI lines, making it ideal for Vision AI, SLAM, and autonomous systems. It offers a wide power range of 19-48V DC and a rich set of interfaces, including USB 3.2, 10G Ethernet, isolated CAN-FD, and RS-485. Its compact size and industrial design enable integration in mobile robots, humanoid robots, and advanced inspection platforms. SeeedStudio 100020039
reComputer Mini J501 Carrier Board with GMSL expansion is a compact carrier board designed for NVIDIA Jetson AGX Orin™ 32GB and NVIDIA Jetson AGX Orin™ 64GB modules. Designed for next-generation robotics, it serves as an excellent alternative to the NVIDIA® Jetson AGX Orin™ Developer Kit, offering greater flexibility for integration into end devices. With support for computing performance of up to 275 TOPS, the platform is ideal for embedded AI projects, humanoid robots, and autonomous systems. Its compact dimensions allow installation in space-constrained designs such as humanoid robots or mobile inspection platforms.

The board supports a wide power input range of 19 to 48 V DC (max. 54 V) via an XT30 connector, enabling direct integration with 48 V battery systems. A rich set of interfaces includes USB 3.2, 10G Ethernet, isolated CAN-FD, RS-485, I2S, and GPIO, providing full flexibility in control and communication system design. With support for 8 GMSL2 cameras (MAX96712) and 4× 4-lane CSI, the board is well suited for Vision AI applications such as SLAM, BEV, and Occupancy Grid. Multi-sensor data fusion support enables integration of LiDAR (Ethernet/CAN), 3D cameras (USB/CSI), GPS, and IMU (UART), allowing precise real-time localization and navigation. The platform supports advanced AI model development, including Vision-Language Models (e.g., LLaVA), object detection systems, and generative AI applications. Thanks to the high performance of AGX Orin, algorithms such as ORB-SLAM, A-LOAM, or Nav2 can run without the need for external computing units. Its compact design, wide operating temperature range, and industrial-grade build quality make the reComputer Mini J501 an ideal platform for rapid prototyping and deployment in robotics, logistics, manufacturing, and autonomous systems.
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Module with a processor equipped with 8 ARM Cortex-A78AE v8.2 cores and the NVIDIA Ampere graphics chip consisting of 1792 cores supporting CUDA technology. NVIDIA 900-13701-0040-000
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A single board computer designed for the development of artificial intelligence and the Internet of Things (IoT). It integrates an ARM Cortex-A78 core CPU and an NVIDIA Ampere GPU and 64GB of RAM. Nvidia 900-13701-0050-000
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Wojciech Kabaciński, Grzegorz Danilewicz
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A baseboard for NVIDIA Jetson AGX Orin 32GB and 64GB modules, enabling the development of high-performance embedded AI systems with up to 275 TOPS. It supports eight GMSL2 cameras and four CSI lines, making it ideal for Vision AI, SLAM, and autonomous systems. It offers a wide power range of 19-48V DC and a rich set of interfaces, including USB 3.2, 10G Ethernet, isolated CAN-FD, and RS-485. Its compact size and industrial design enable integration in mobile robots, humanoid robots, and advanced inspection platforms. SeeedStudio 100020039