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Yahboom Jetson Orin NX 16GB Super RAM for AI Robots FHD 15.6in IPS Touch Screen Jetson Case USB Camera Wire Netcard Keyboard Mouse, 256GB SSD Electronic Kit for Mechanical Engineer
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Yahboom Jetson Orin NX 16GB Super RAM for AI Robots Features
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【Core Parameters】★AI Perf: 117/157 TOPS★GPU: 1024-core N-VI-DIA Ampere architecture GPU with 32 Tensor Cores★CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3★Memory: 16GB 128-bit LPDDR5 | 102.4GB/s★Storage: Supports external NVMe
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【Packing List】★Basis Kit:Orin NX 8GB16GB*1 (core module and carrier board installed，4G or 8G Optional), power adapter *1, antenna *2, wireless network card *1 (installed), SSD *1, DP to HDMI cable *1, Type-C Cable *1, acrylic case *1；★Advanced Kit: Basis Kit+ IMX219-77°camera *1, camera case *1；★Mini PC Kit：Basis Kit- acrylic case+ Cube Jetson Mini Case+USB camera；★Ultimate Kit：Mini PC Kit+ 15.6in display screen+Wire-less keyboard mouse set
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【Revolutionize the Industry】Jetson Orin NX modules deliver unmatched performance and efficiency for small, low-power robotics and autonomous machines, making them ideal for drones, handheld devices, and more. The module can be easily used in advanced applications in manufacturing, logistics, retail, agriculture, medical and life sciences, and comes in a highly compact and energy-efficient package.
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【Revolutionizing AI with Unmatched Performance】The Jetson Orin NX system module adopts the Ampere architecture GPU, a new generation of deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth to support multiple AI application processes. Granular structured sparsity to improve the operating throughput of Tensor Core, and can use larger and more complex AI model development solutions in natural language understanding, 3D perception and multi-sensor fusion.
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【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.
