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NVIDIA 900-13767-0030-000 8GB and 900-13767-0040-000 4GB Jetson Orin Nano SOM Modules for Edge AI and Robotics Applications
Latest company news about NVIDIA 900-13767-0030-000 8GB and 900-13767-0040-000 4GB Jetson Orin Nano SOM Modules for Edge AI and Robotics Applications

Mingjiada Electronics supplies/recycles NVIDIA Jetson Orin Nano System-on-Module: 900-13767-0030-000 (8GB), 900-13767-0040-000 (4GB), delivering cost-effective edge AI computing solutions.

 

The NVIDIA Jetson Orin Nano SOM is a cost-effective core hardware solution for edge AI. With its ultra-compact form factor, low power consumption, and powerful AI computing capabilities, it redefines the development standard for entry-level edge intelligence devices. Performance is up to 80 times faster than the previous-generation Jetson Nano. It is pin-compatible with Jetson Orin NX, supports parallel execution of multi-task AI inference pipelines, and integrates with NVIDIA's complete AI software stack. This significantly reduces development and deployment costs for edge intelligence products, making it the core choice for consumer and industrial edge AI applications.

 

900-13767-0030-000 Jetson Orin Nano 8GB SOM

This model represents the high-performance variant of the Jetson Orin Nano series. After upgrading with NVIDIA Super Mode software, it achieves substantial increases in AI compute power and memory bandwidth, enabling smooth operation of complex generative AI models to meet mid-to-high-end edge intelligence development demands.

Core Performance: Features a 1024-core Ampere architecture GPU (32 Tensor Cores) and a 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU; Delivers up to 67 INT8 TOPS AI performance with 8GB 128-bit LPDDR5 graphics memory and 102GB/s memory bandwidth, supporting diverse AI tasks across Transformer architectures.

Power Consumption & Interfaces: Flexible power adjustment between 7W-25W balances performance and efficiency. Features 8x MIPI CSI-2 camera interfaces, multiple high-speed PCIe Gen3 lanes, USB3.2 Gen2 ports, and 4K30 display outputs. Supports simultaneous capture from up to 4 cameras, meeting high-definition vision and multi-sensor fusion requirements.

Hardware Specifications: Dimensions: 69.6mm × 45mm. Features a 260-pin SO-DIMM connector supporting external NVMe storage expansion. Wide voltage input range of 5V-20V, compatible with diverse embedded hardware designs.

 

900-13767-0030-000 Jetson Orin Nano 4GB SOM

This entry-level, cost-effective variant delivers 20 INT8 TOPS AI performance at an ultra-low 7W-10W power consumption. It serves as the preferred hardware for lightweight edge AI applications, significantly lowering the cost barrier for AI product development.

Core Performance: Features a 512-core Ampere architecture GPU (16 Tensor Cores) and a 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU. Equipped with 4GB 64-bit LPDDR5 graphics memory and 34GB/s memory bandwidth, it efficiently supports AI inference demands in scenarios like retail analytics, lightweight machine vision, and small intelligent robots.

Power Consumption & Interfaces: Ultra-low power design for fanless embedded devices. Interface configuration matches the 8GB version, supporting 1x 4K60 video decoding and multiple high-speed IO/communication interfaces to meet hardware expansion and data transfer needs for lightweight applications.

Hardware Specifications: Identical dimensions and pinout to the 8GB version, featuring a compact 69.6mm × 45mm form factor. Supports external NVMe storage and global multi-region compatibility, enabling rapid integration into various compact smart devices.

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Wide Range of Applications

Both Jetson Orin Nano SOM modules offer high cost-effectiveness and strong adaptability, making them ideal for industrial vision inspection, compact smart robots, retail analytics, smart city edge nodes, smart home hubs, and AI development in education and research. They are compatible with NVIDIA Isaac (Robotics), DeepStream (visual AI), and Riva (conversational AI). Paired with NGC pre-trained models and the TAO toolkit, they enable seamless progression from prototype development to mass production deployment.

 

Mingjiada Electronics maintains official NVIDIA component supply channels. Both Jetson Orin Nano SOM modules offered are genuine factory-original products with immediate stock availability to rapidly address R&D and production demands. Our recycling services support nationwide door-to-door pickup or courier transactions, featuring swift testing and fair pricing. New and existing customers are welcome to inquire about current pricing, recycling rates, and discuss long-term partnerships.

Pub Time : 2026-01-26 10:18:36 >> News list
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