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WayPonDEV Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning Heat Sink Version
66% of respondents would recommend this to a friend
XAF 211786
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Jetson Nano 4GB SUB Kit Nano delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out
Product Details
- Jetson Nano 4GB SUB Kit comes with 16G eMMC memory and can boot the board without a TF card
- Offers multiple AI framework support for running modern AI workloads
- Power-efficient, consuming as little as 5 watts and can be powered by micro-USB
- Supported by JetPack, which includes a board support package (BSP), Linux OS, N-VI-DI-A CUDA, cuDNN, and TensorRT
- Uses the same JetPack SDK across the entire Jetson family of products and is fully compatible with world-leading AI platform
- Comes with 1 x Jetson Nano Module with Heat Sink, 1 x Reference Carrier Board, and a 5V-4A Power Supply
| RAM Memory Installed | 4 GB |
| Memory Storage Capacity | 16 GB |
| Processor Speed | 1.43 GHz |
| Connectivity Technology | Ethernet, GPIO, HDMI, USB |
| Operating System | Linux |
| Processor Brand | ARM |
| Wireless Compability | 802.11b |
| Compatible Devices | PCs |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 4 |
| Total Usb Ports | 5 |
| Brand | WayPonDEV |
| Model Name | Jetson Nano 4GB Sub Kit Nano Developer Kit |
| Model Number | Jetson Nano 4GB Developer Kit |
| Mfr Part Number | Jetson Nano 4GB Developer Kit |
| Manufacturer | WayPonDEV |
| Item Dimensions L x W x H | 3.94"L x 3.15"W x 1.14"H (10 x 8 x 2.9 cm) |
| Ram Memory Installed Size | 4 GB |
| CPU Speed | 1.43 GHz |
Who Should Buy?
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AI Developers
Ideal for developers wanting to prototype and experiment with AI algorithms using efficient computational resources.
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Robotics Enthusiasts
Perfect for hobbyists building robots requiring artificial intelligence capabilities for tasks like image processing and navigation.
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Educators
Great for educational institutions aiming to teach students about AI and machine learning in a hands-on environment.
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Professional Engineers
Not suitable for large-scale industrial applications where more powerful hardware resources are necessary for complex tasks.
Product Description
WayPonDEV Jetson Nano Developer Kit - 4GB LDPPR4 RAM 16G eMMC, Sub Kit Nano Mini PC for AI Robotics Machine Learning Heat Sink Version
Customer Questions & Answers
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Question:
What is the Jetson Nano 4GB RAM and why is it ideal for AI applications?
Answer: The Jetson Nano is a powerful, compact computing platform designed to support AI, robotics, and machine learning projects. With 4GB of RAM, it can efficiently handle complex computations required for tasks like image processing and real-time data analysis. Its architecture is optimized for parallel processing, making it suitable for running multiple algorithms simultaneously. This is particularly advantageous for developers and hobbyists aiming to prototype AI solutions in robotics, automation, or IoT applications. -
Question:
What are the key features of the Jetson Nano Heat Sink Version?
Answer: The Heat Sink Version of Jetson Nano enhances thermal management during resource-intensive tasks, ensuring higher performance and longevity of the device. This version comes equipped with a heat sink that dissipates heat effectively, allowing for consistent performance under load. For users engaged in processing heavy AI tasks or running multiple applications at once, the heat sink ensures that the device operates smoothly without overheating, which is crucial for prolonged projects in robotics and machine learning. -
Question:
Can I use Jetson Nano for my robotics projects?
Answer: Yes, the Jetson Nano is an excellent choice for robotics projects. It supports a variety of programming languages and frameworks, including Python and TensorFlow, which are popular in AI development. Its capability to interface with cameras and sensors makes it ideal for creating robots that require vision and decision-making capabilities. Whether you're building a simple robot for educational purposes or a complex autonomous machine, the Jetson Nano provides the computational power needed for real-time processing. -
Question:
What types of projects can I build with the Jetson Nano?
Answer: With the Jetson Nano, you can build a wide range of projects such as autonomous drones, robotic arms, smart cameras, and IoT devices. Its robust processing capabilities allow you to implement machine learning algorithms for tasks like object detection, facial recognition, and natural language processing. This versatility in handling various AI workloads makes it an attractive option for both educational and professional development in fields related to AI and robotics. -
Question:
Is the Jetson Nano compatible with popular AI frameworks?
Answer: Absolutely! The Jetson Nano is designed to be compatible with major AI frameworks such as TensorFlow, PyTorch, and Caffe. You can seamlessly run your AI models and leverage the accelerated computing capabilities of the Nano. This compatibility is particularly useful for developers looking to evaluate and deploy their pre-trained models for real-time applications. Moreover, you can easily find resources and community support to help you integrate these frameworks into your AI projects. -
Question:
What accessories should I consider with my Jetson Nano setup?
Answer: To enhance your Jetson Nano experience, consider accessories like a compatible power supply, microSD card for storage expansion, and USB peripherals for input and output. Additional hardware such as sensors, cameras, and robotics kits will enable you to explore a wider range of AI applications. Accessorizing your setup not only improves performance but also gives you the flexibility to experiment with various project ideas. -
Question:
Does the Jetson Nano support GPU acceleration?
Answer: Yes, the Jetson Nano features a 128-core Maxwell GPU, allowing for GPU acceleration that optimizes processing for machine learning and AI tasks. This capability significantly enhances performance for applications that require complex calculations, such as image and video processing. GPU acceleration is pivotal for improving the efficiency and speed of your applications, making the Jetson Nano a powerful tool for developers focused on cutting-edge robotics and AI projects. -
Question:
What is the optimal environment for using the Jetson Nano?
Answer: The Jetson Nano performs best in environments where computational power and connectivity are reliable. It is suited for use in labs, workshops, or even as part of prototypes in smart homes and industrial setups. Make sure to provide adequate cooling and ensure a stable power source, especially when conducting prolonged AI computations or handling intensive tasks. This will help maintain optimal performance and avoid thermal throttling during critical applications. -
Question:
How do I get started with programming the Jetson Nano?
Answer: To start programming with the Jetson Nano, you can download the JetPack SDK, which includes all necessary libraries and sample applications. Leverage online tutorials and community forums to familiarize yourself with the platform’s setup and programming environment. Numerous projects and examples are available to help you kick-start your development journey, especially in areas of machine learning and robotics. Engaging in these resources will bolster your understanding and skills in AI development. -
Question:
Where can I buy Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning Heat Sink Version in Central African Republic?
Answer: You can purchase the Jetson Nano 4GB RAM 16G eMMC onboard for AI Robotics Machine Learning Heat Sink Version at Ubuy. Ubuy provides a convenient shopping platform to secure your Jetson Nano along with various options for related accessories. Their user-friendly interface makes finding and purchasing this advanced technology seamless, ensuring you have all the tools you need to start your AI and robotics projects efficiently.
WayPonDEV Single Board Computers Jetson Nano 4GB Developer Kit Editorial Review
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Pros
- Powerful NVIDIA Jetson processor
- 4GB RAM for efficient multitasking
- 16GB eMMC for ample storage
- Excellent for AI and ML projects
- Active community support and resources
Cons
- Limited GPIO pins for expansion
Platform Trust & Buyer Confidence
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XAF 211786
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Features & Benefits
- Highly consistent developer kit
- 16G-eMMC memory for booting without a TF card
- Multiple AI frameworks supported
- Extensive I/Os for connecting various sensors
- JetPack software support for easy setup
- Proven software stack for reduced complexity
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