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Item #:
115576475
Waveshare Jetson Nano Module (B01) Production-Ready AI System on Module (SOM) with 16GB EMMC
Item #:
115576475
SBD 2072
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What Stands Out
Production-Ready Design
The Waveshare Jetson Nano Module is engineered for immediate deployment in real-world applications, ensuring a seamless transition from prototype to production while maintaining optimal performance.
Integrated Storage
With 16GB EMMC storage, this module provides ample space for applications and data, enhancing speed and efficiency while reducing reliance on external storage solutions.
AI Capabilities
Designed for AI applications, the module leverages NVIDIA's powerful technology, enabling developers to implement advanced machine learning algorithms and intelligent systems in diverse scenarios.
Product Details
| Country of Origin | This item will be imported from US |
| Item Weight | 0.5 lbs (230 grams) |
| What is in the box | Waveshare Jetson Nano Module... For more details, please check description/product details |
Who Should Buy?
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AI Developers
Ideal for developers building AI applications seeking efficient and powerful processing capabilities in a compact module.
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Embedded Systems
Great for integration into embedded systems requiring powerful AI processing for tasks like computer vision or robotics.
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Prototyping Enthusiasts
Excellent choice for hobbyists and researchers prototyping AI solutions in robotics, drones, and smart devices.
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Casual Users
May be overly complex and expensive for users needing basic computing without AI processing capabilities.
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Low-Power Applications
Not suitable for applications where low power consumption is critical or where energy efficiency is prioritized.
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General Gaming
Not designed for traditional gaming needs that require high-end graphics provided by dedicated GPUs.
Product Description
Waveshare Jetson Nano Module (B01) Production-Ready AI System on Module (SOM) with 16GB EMMC
Have any Query? Chat with us
Customer Questions & Answers
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Question:
What is the Waveshare Jetson Nano Module (B01)?
Answer: The Waveshare Jetson Nano Module (B01) is a production-ready AI System on Module (SOM) designed for developers looking to create AI applications. It features a powerful NVIDIA Jetson Nano Processor, integrated 16GB EMMC storage, and a compact form factor ideal for embedded systems. This module allows you to run multiple neural networks in parallel for applications such as robotics, smart cameras, and industrial automation. Its versatility makes it suitable for both prototyping and deployment in various environments. -
Question:
What are the main features of the Waveshare Jetson Nano Module (B01)?
Answer: The Waveshare Jetson Nano Module (B01) boasts several advanced features, including a quad-core ARM Cortex-A57 CPU, 128-core NVIDIA Maxwell GPU, and 16GB EMMC for efficient data storage. The module also supports various interfaces like USB, HDMI, and GPIOs, making it highly adaptable. This combination enables developers to deploy AI workloads confidently in applications such as drones, robots, and smart devices, facilitating a seamless experience in both design and production phases. -
Question:
What types of AI applications can I build with this module?
Answer: You can build a wide range of AI applications with the Waveshare Jetson Nano Module (B01), including image recognition systems, real-time object detection, and natural language processing applications. This module excels in tasks that require machine learning and deep learning capabilities, suitable for sectors such as healthcare diagnostics, autonomous vehicles, and security surveillance. By leveraging its powerful computing resources, developers can create innovative solutions that push the boundaries of AI technology. -
Question:
How does the 16GB EMMC benefit my projects?
Answer: The 16GB EMMC in the Waveshare Jetson Nano Module (B01) provides an efficient storage solution that improves program load times and system performance. EMMC offers faster read/write speeds compared to traditional SD cards, which is crucial for applications demanding high data throughput, such as video processing and machine learning model training. This enhances your project's responsiveness when deploying demanding applications that involve extensive data handling. -
Question:
Is the Waveshare Jetson Nano Module (B01) compatible with Ubuntu?
Answer: Yes, the Waveshare Jetson Nano Module (B01) is fully compatible with NVIDIA’s JetPack SDK, which is based on Ubuntu. This allows developers to take advantage of a rich ecosystem of libraries and tools designed for AI and machine learning. Using Ubuntu with the module provides access to community support and online resources, enabling you to efficiently develop, test, and deploy AI applications without compatibility issues. -
Question:
Can I use this module for robotics development?
Answer: Absolutely! The Waveshare Jetson Nano Module (B01) is an excellent choice for robotics development due to its powerful processing capabilities. It supports various robotics frameworks like ROS (Robot Operating System) that facilitate the development of robot software. Whether you're building autonomous vehicles or robotic arms, this module can handle complex algorithms for navigation, object detection, and decision-making. -
Question:
What power requirements should I be aware of?
Answer: The Waveshare Jetson Nano Module (B01) typically operates on a 5V power supply. It is designed to be energy efficient while delivering high performance, making it suitable for both portable and stationary applications. Users should ensure that their power supply meets the specifications to avoid any interruptions during operation, especially while running resource-intensive AI tasks such as video analysis and data processing. -
Question:
How do I start developing with the Waveshare Jetson Nano Module (B01)?
Answer: To begin your journey with the Waveshare Jetson Nano Module (B01), you'll first need to set up a development environment which includes installing the NVIDIA JetPack SDK on your Ubuntu system. Subsequently, you can access sample projects and utilize provided libraries to familiarize yourself with the module's capabilities. This approach helps you progressively develop your applications, making it easier to manage complex projects by building upon existing frameworks. -
Question:
What accessories would enhance my experience with this module?
Answer: To optimize your experience with the Waveshare Jetson Nano Module (B01), consider accessories like cooling fans, heatsinks, and additional I/O expansion boards. Cooling components are essential for maintaining optimal performance during intensive tasks, while expansion boards can increase connectivity for sensors or cameras. These accessories not only enhance the module's capability but also contribute to the longevity and efficiency of your projects. -
Question:
Where can I buy the Waveshare Jetson Nano Module (B01) in Solomon Islands?
Answer: You can purchase the Waveshare Jetson Nano Module (B01) from Ubuy, a trusted online retailer that provides an extensive collection of tech and electronic products. Ubuy offers a user-friendly shopping experience, allowing you to conveniently order the module and have it delivered directly to your doorstep. With Ubuy, you can explore options and find additional accessories necessary for your AI projects.
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SBD 2072
Order now and get it around Thursday, August 06
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Features & Benefits
- Compact design: Only 70 x 45 mm, the smallest Jetson device.
- Production-ready System on Module (SOM) for easy deployment.
- Delivers 472 GFLOPs for fast AI algorithm processing.
- Supports multiple neural networks and high-resolution sensors simultaneously.
- Ideal for diverse applications like NVRs, home robots, and intelligent gateways.
- Integrates 16 GB eMMC storage for stability and compatibility.
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