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AIO-OrinNX Jetson Orin NX Robotics Motherboard

AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
AIO-OrinNX Jetson Orin NX Robotics Motherboard
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  • Stock: In Stock
  • Model: aio-orinnx-nvidia-jetson-orin-nx-motherboard
  • SKU: aio-orinnx-nvidia-jetson-orin-nx-motherboard
190 samples sold
$989.00

    AIO-OrinNX is equipped with NVIDIA Jetson Orin NX core module, providing up to 157 TOPS computing power, supporting private deployment of modern mainstream AI models, and supporting up to 8K video decoding. It has comprehensive connection options, including Gigabit Ethernet, dual-band WiFi, 4G/5G, Bluetooth and multiple video I/O interfaces, running on Linux operating system, and is very suitable for edge AI applications, robots, smart drones, smart monitoring systems and other industrial AI applications.

    Feature

    • High-Performance Edge Computing Module: Equipped with the NVIDIA Jetson Orin Nano edge computing module, it uses a six-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (32 Tensor Cores), which can run multiple AI application pipelines concurrently, bringing powerful AI performance.
    • Up to 157 TOPS Computing Power: It has an AI performance of up to 157 TOPS and supports mainstream AI models such as Transformer and ROS robot models. It supports TensorFlow, OpenCV, JetPack, MXNet, PyTorch and other frameworks to build complex deep neural networks, and has the capabilities of object recognition, target detection and tracking, speech recognition, and visual development, adapting to a variety of AI application scenarios.
    • Full-Scale Model Private Deployment: Supports private deployment of modern mainstream AI models, including large language models like LLaMA-2, ChatGLM, and Qwen; vision foundation models such as ViT, Grounding DINO, and SAM; as well as AIGC models like Stable Diffusion V1.5 for image generation.
    • Supports Up to 8K Video Decoding: It can decode 18 channels of 1080p@30fps videos and supports: 1x8K@30fps, 2x4K@60fps, 4x4K@30fps, 9x1080p@60fps, and 18x1080p@30fps, meeting the needs of various AI application scenarios.

    Applications

    • Edge Generative AI: The NVIDIA Jetson Orin series provides powerful AI computing capabilities, large unified memory, and a comprehensive software stack to execute the latest generative AI applications with ultra-efficiency. It can quickly infer any Transformer-based generative AI model and achieve excellent edge performance in MLPerf benchmarks.
    • AI Software Stack and Ecosystem: Democratize edge AI and robotics development with a complete AI software stack and ecosystem, powered by Edge-Generated AI, NVIDIA Metropolis, and the Isaac platform. NVIDIA JetPack, Isaac ROS, and reference AI workflows enable you to integrate advanced technologies into your products without relying on expensive in-house AI resources.
    • Wide Range of Applications: Applicable to industries such as edge computing, robotics, large-scale model positioning, smart cities, smart medical care, and smart industrial applications.

    Hardware Overview

    Product specifications and shipping information are referenced from the official Firefly (NVIDIA Jetson) product page.

    No additional information available.

    Ai performanceRobot model: ROS robot model is supported. Large language models: Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support the private deployment of ultra-large-scale parametric models under the Transformer architecture, such as Llama3 and Phi-3 Mini. Large visual models: Support the privatization deployment of large visual models such as EfficientViT, NanoOWL NanoSAM, SAM, and TAM. Al Painting: Support ComfyUl graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports the private deployment of Flux, Stable Diffusion and Stable DiffusionXL image generation models in the AlGc field.
    Ai software stackThe NVIDIA Jetson Orin series delivers powerful Al compute power, massive unified memory, and a comprehensive software stack to power the latest generative Al applications. It enables fast inference on any generative Al model powered by the Transformer architecture, enabling superior edge performance on MLPerf.
    SocNVIDIA Jetson Orin NX
    CpuOcta-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHZ
    Tpu157 TOPS
    Vpu1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
    Ram16GB LPDDR5
    Storage1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports 2242/2260/2280)
    PowerDC 12V (5.5 x2.1mm, support 9V~24V wide voltage input)
    Power consumptionNormal: 7.2W(12V/600W) Max: 34.8W(12V/2900mA)
    Video output1 x HDMI2.0 (4K@60fps)
    Video input2 x MIPI CSI DPHY (1 x 4 Lanes or 2 x 2 Lanes), Line in (Led by double row headers)
    Audio1 x 3.5mm Audio jack (Support MC recording, American Standard CTlA)
    OsJetson systems based on Ubuntu 22.04 provide a complete desktop Linux environment with graphics acceleration and support for libraries such as NVIDlA CUDA, TensorRT CuDNN, and more.
    Dimension122.89 mm x 85.04 mm x 35.28mm
    WeightWithout Fan - 129g, with fan - 180g
    EnvironmentOperating Temperature: -20℃~60°C Storage Temperature: -20°~ 70°C Storage Humidity: 10%~90%RH(non-condensing)
    Other interface1 x FAN(4Pin-1.25mm), 1 x SlM Card, 1 x Debug (3Pin-2mm), 1 x Double-row pin headers (2x10-20PIN-2.0mm): USB2.0, SPl, 2 x 12C, Line in, Line out, GPl0 1 x Phoenix connector (2x4Pin,3.5mm pitch): 1 x RS485, 1 x RS232,1 x CAN 2.0
    Button1 x Reset, 1 x Recovery, 1 x Power

    No additional information available.

    Our cooperating carriers: FedEx, DHL, UPS, SF Express

    Delivery Area And Cost

    Country/Region 0.0001-2kg 2.0001-3kg 3.0001-4kg 4.0001-5kg 5.0001-6kg 6.0001-7kg 7.0001-8kg 8.0001-9kg 9.0001-10kg
    Japan, Taiwan, Hong Kong, Macau $15 $20 $25 $30 $35 $40 $45 $50 $55
    Indonesia, Philippines $25 $30 $40 $50 $60 $70 $80 $85 $95
    South Korea $25 $35 $35 $45 $45 $55 $55 $65 $65
    Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, United States, Australia, New Zealand, Austria, Belgium, Denmark $30 $45 $55 $65 $75 $85 $95 $105 $115
    Canada, United Kingdom $40 $50 $60 $75 $85 $95 $105 $115 $130
    Hungary, India, Israel, Laos, Myanmar, Poland, Saudi Arabia, Turkey, United Arab Emirates, Vietnam, Bangladesh, Qatar, Cyprus, Pakistan, Brunei, Sri Lanka, Jordan, Oman, Maldives, Bulgaria, Iceland, Slovakia, Lithuania, Romania, Albania, Armenia, Mexico, Nepal, Serbia, Cambodia, Croatia, Czech Republic, Slovenia, Kazakhstan $50 $65 $80 $95 $110 $125 $135 $150 $165
    Singapore, Thailand, Malaysia $20 $25 $30 $35 $40 $45 $50 $55 $60

     

    Shipping Time (for reference only, the actual situation shall prevail):

    Area  Shipping time
    Europe 3 - 7 business days
    Asia, Oceania 3 - 7 business days
    North America 3 - 7 business days
    South America 5 - 10 business days

     

    Please check which area your region/country is in.

    Order preparation time: 3-7 business days (specific details need to refer to the order situation).

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