NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
MNT 1581497
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The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out
Бүтээгдэхүүний дэлгэрэнгүй мэдээлэл
- Delivers high compute performance for AI workloads at a small size and low cost
- Ideal for image classification, object detection, segmentation, and speech processing applications
- Power-efficient, consuming as little as 5 watts, and powered by micro-USB
- Supported by NVIDIA JetPack with board support package, Linux OS, CUDA, cuDNN, and TensorRT software libraries for deep learning and GPU computing
- Features extensive I/Os such as GPIO and CSI for connecting new sensors
- Layout includes USB 3.0 ports, MIPI CSI-2 camera connector, HDMI 2.0, DisplayPort 1.3, Gigabit Ethernet, M.2 Key-E module, microSD card slot, and 40-pin GPIO header
| Package Weight | 1 Pound |
Who Should Buy?
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AI Enthusiasts
Perfect for hobbyists wanting to explore AI and machine learning in small-scale projects and experiments.
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Robotics Developers
Ideal for building and programming robots, providing sufficient power for complex algorithms in a compact form factor.
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Educational Institutions
Great for universities and schools focusing on teaching AI, robotics, and computer vision with practical hands-on experience.
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High-End Gamers
Not suitable for gaming as it lacks the high-performance graphics capabilities required for intensive gaming applications.
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Casual Users
Not ideal for typical users who need a simple plug-and-play experience without technical configuration or development.
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Heavy Workloads
Does not support demanding enterprise-level applications or tasks that require extensive processing power beyond its capabilities.
БАРААНЫ ТАЙЛБАР
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
About This Item
Introducing the NVIDIA Jetson Nano Developer Kit - the ultimate solution for developers, learners, and makers to harness the power of artificial intelligence. This incredible kit delivers unmatched compute performance while being compact in size, energy-efficient, and cost-effective. With the Jetson Nano Developer Kit, you can now easily run AI frameworks and models for a wide range of applications. Whether it's image classification, object detection, segmentation, or speech processing, this kit has got you covered.
You'll be amazed at the level of precision and accuracy it brings to your AI projects. One of the standout features of this developer kit is its extensive I/O options. From GPIO to CSI, you have all the necessary ports to connect a diverse set of sensors. This enables you to create and customize AI applications in ways you never thought possible.
The possibilities are truly endless. Not only that, but the Jetson Nano Developer Kit is also fully supported by NVIDIA JetPack. This comprehensive software package includes a board support package, Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries. The best part? It's incredibly easy to get started.
Simply use the easy-to-flash SD card image, and you'll be up and running in no time. What sets this kit apart is its compatibility with the entire NVIDIA Jetson family of products. The JetPack SDK is fully compatible with NVIDIA's world-leading AI platform, making it a seamless experience for developers. Plus, with the proven software stack, you can say goodbye to complex setups and focus on what really matters - creating innovative AI applications. In summary, the NVIDIA Jetson Nano Developer Kit is the perfect choice for anyone looking to delve into the world of AI development.
Its unparalleled compute performance, extensive I/O options, and compatibility with the NVIDIA Jetson family make it a must-have for developers, learners, and makers alike. Get ready to bring your AI projects to life with this state-of-the-art kit. Order yours today and unlock the endless possibilities of AI.
Хэрэглэгчийн асуулт ба хариултууд
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Асуулт:
What is the NVIDIA Jetson Nano Developer Kit used for?
Хариулт: The NVIDIA Jetson Nano Developer Kit is designed for AI development and robotics projects. It allows users to create and deploy machine learning models, enabling applications like computer vision, robotics, and multimedia processing. The kit is equipped with a powerful GPU, CPU, and RAM to handle complex algorithms and real-time inference, making it ideal for hobbyists, researchers, and professionals working on innovative tech solutions. -
Асуулт:
What are the key features of the NVIDIA Jetson Nano Developer Kit?
Хариулт: The key features of the NVIDIA Jetson Nano Developer Kit include a Quad-core ARM Cortex-A57 CPU, 128-core Maxwell GPU, 4 GB of LPDDR4 RAM, and support for multiple camera outputs. It supports various AI libraries and frameworks, such as TensorFlow and PyTorch. This hardware synergy enhances computational power, making it suitable for learning and experimenting with AI concepts and creating sophisticated projects like drones, robots, and smart devices. -
Асуулт:
Can the NVIDIA Jetson Nano run Linux?
Хариулт: Yes, the NVIDIA Jetson Nano Developer Kit runs on a Linux-based operating system, specifically Ubuntu. This OS environment allows developers to access a broad range of software and tools customized for AI and machine learning tasks. This compatibility fosters a rich ecosystem of applications where users can easily install necessary libraries and software to start developing and testing their projects effectively. -
Асуулт:
What types of projects are suitable for the NVIDIA Jetson Nano Developer Kit?
Хариулт: The NVIDIA Jetson Nano Developer Kit is versatile and can be used for numerous projects, including robotics, smart home applications, and AI-enhanced security systems. Users can develop facial recognition systems, autonomous drones, or even create DIY IoT devices. Its capability to handle neural networks allows for real-time data processing, making it ideal for education, hobbyist projects, or research applications in AI and robotics. -
Асуулт:
How do I set up the NVIDIA Jetson Nano Developer Kit?
Хариулт: Setting up the NVIDIA Jetson Nano Developer Kit involves several straightforward steps. First, you need to install the microSD card with the Jetson Nano image. Then, connect peripherals like a mouse, keyboard, and monitor, and power it up. Follow the on-screen instructions to complete the initial setup. Once configured, you can access the terminal to install AI libraries and start your development environment, tailoring it to your project's needs. -
Асуулт:
What is the difference between Jetson Nano and other Jetson models?
Хариулт: The primary difference between Jetson Nano and other Jetson models, like Jetson Xavier or Jetson TX2, lies in their performance and intended use cases. Jetson Nano offers budget-friendly access for smaller projects, focusing on smaller-scale AI applications. In contrast, other models provide higher computing power, suited for advanced AI tasks, larger models, or commercial products, allowing users to choose based on computational needs and project complexity. -
Асуулт:
Is the NVIDIA Jetson Nano suitable for beginners?
Хариулт: Absolutely, the NVIDIA Jetson Nano Developer Kit is highly suitable for beginners interested in AI and robotics. Its supportive community, numerous tutorials, and extensive online resources make it an ideal starting point. Users can gradually explore the complexities of AI, machine learning, and programming while working on hands-on projects, facilitating a practical learning experience that connects theory with real-world applications. -
Асуулт:
What power supply does the NVIDIA Jetson Nano Developer Kit require?
Хариулт: The NVIDIA Jetson Nano Developer Kit requires a power supply rated at 5V/4A. It is crucial to use an appropriate power supply to ensure stable performance, especially when peripherals are connected. A reliable power source helps maintain the required energy for intensive tasks, and can be utilized in various setups for robotics projects, edge computing applications, or creating AI models that demand significant processing power. -
Асуулт:
What are the connectivity options for the NVIDIA Jetson Nano?
Хариулт: The NVIDIA Jetson Nano Developer Kit offers several connectivity options, including USB 3.0 and USB 2.0 ports, HDMI output, and GPIO pins. It supports wireless communication using USB adapters and can connect to various sensors and devices, like cameras or robots. This extensive connectivity enhances its versatility, making it perfect for projects requiring interaction with multiple components and devices in an intelligent ecosystem. -
Асуулт:
Where can I buy NVIDIA Jetson Nano Developer Kit 945-13450-0000-100 in Mongolia?
Хариулт: You can purchase the NVIDIA Jetson Nano Developer Kit 945-13450-0000-100 from Ubuy in Mongolia. Ubuy offers a seamless shopping experience with a variety of tech products, including the Jetson Nano, making it a reliable platform for acquiring your development kit.
NVIDIA Internal Components Editorial Review
The Jetson Nano B01 is a single board computer that runs full-sized Ubuntu Linux on ARM and can run Python code, including TensorFlow/PyTorch. It has 4GB of RAM soldered on, but other Jetson development boards have between 8GB and 32GB of RAM. Prices have recently come down to the suggested retail price of $99, and Nvidia provides numerous online resources and forums for learning about AI. However, some customers have had difficulty making the device work and have experienced problems with the board not booting, and one user reported that their board stopped working 13 months after purchase.
Customer Reviews & Ratings
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5 од
100%
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2 од
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1 од
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Давуу тал
- Runs full-sized Ubuntu Linux on ARM
- Can run Python code, including TensorFlow/PyTorch
- Nvidia provides numerous online resources and forums for learning about AI
Сул талууд
- Some customers have experienced problems with board not booting and with the device not working
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Product Price History
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MNT 1581497
Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Пүрэв гараг, 7 дугаар сар 23
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Онцлог & Давуу талууд
- Run AI frameworks and models for image classification, object detection, segmentation, and speech processing.
- Easy-to-connect I/Os and power-efficient design.
- Supported by NVIDIA JetPack with deep learning, computer vision, and multimedia processing software libraries.
- Compatible with NVIDIA's AI platform for training and deploying AI software.
- Proven software stack reduces complexity and effort for developers.
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