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reComputer J4011-Edge AI Device with NVIDIA Jetson OrinTM NX 8GB Module, 4xUSB 3.2, M.2 Key E & Key M Slot, Aluminum case, Pre-Installed Jetpack
DKK 10677
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Brilliant AI Performance for production: on-device processing with up to 70 TOPS AI performance with low power and low latency.
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Product Details
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
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AI Developers
Ideal for developers focusing on machine learning and AI applications, providing powerful computing capabilities in a compact form.
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Edge Computing
Perfect for edge AI applications, enabling real-time data processing and inference directly on the device without latency.
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Robotics Enthusiasts
Great for robotics projects, leveraging its GPU capabilities to handle complex algorithms and processing for autonomous systems.
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Casual Users
Not suitable for everyday users looking for basic computing tasks, as it is designed for advanced applications.
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Budget-Conscious Buyers
The pricing may be high for users who need simple computing without AI applications or high-performance requirements.
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Non-Technical Users
Inexperienced users may find installation and configuration challenging, as it requires some level of technical knowledge.
Product Description
reComputer J4011-Edge AI Device with NVIDIA Jetson OrinTM NX 8GB Module, 4xUSB 3.2, M.2 Key E & Key M Slot, Aluminum case, Pre-Installed Jetpack System with NVIDIA JetpackTM on 128GB NVMe SSD
Customer Questions & Answers
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Question:
What are the key features of the Seeed Studio Jetson Nano Developer Kit?
Answer: The Seeed Studio Jetson Nano Developer Kit is designed for AI development, featuring a powerful NVIDIA Jetson Nano module with a quad-core ARM Cortex-A57 CPU and a 128-core Maxwell GPU. This combination allows for high-performance computing in small form factors. It integrates various I/O options including GPIO, I2C, and USB, making it suitable for projects in robotics, AI-powered applications, and computer vision. Its compact design facilitates seamless integration into various development environments, providing versatility for advanced users. -
Question:
What types of projects can I build with the Jetson Nano Developer Kit?
Answer: With the Jetson Nano Developer Kit, you can build a wide array of projects, such as smart home devices, autonomous robots, and AI-enabled cameras. Its capabilities in processing deep learning algorithms make it ideal for applications like facial recognition and object detection. Enthusiasts can leverage pre-trained models and utilize platforms like TensorFlow or PyTorch to accelerate development. The community-driven support provides a great resource for troubleshooting and expanding your project ideas. -
Question:
Is the Jetson Nano Developer Kit suitable for beginners?
Answer: Yes, the Jetson Nano Developer Kit is beginner-friendly while also being powerful enough for advanced users. It comes with comprehensive documentation and a vast community for support. The graphical interface allows newcomers to experiment with AI programming easily. For instance, users can follow online tutorials to create simple projects, such as image classification systems, and gradually move on to more complex applications as they grow more comfortable. -
Question:
What accessories are recommended for the Jetson Nano Developer Kit?
Answer: To get the most out of your Jetson Nano Developer Kit, consider accessories like a compatible camera module for vision applications, an HDMI cable for display purposes, and a microSD card for storage. Depending on your project, additional power supplies or expansion boards can also enhance functionality. For example, using a camera module alongside the kit allows for real-time video processing, perfect for security or monitoring applications. -
Question:
How does the Jetson Nano compare to other single board computers?
Answer: The Jetson Nano stands out due to its dedicated GPU, which significantly enhances performance in AI-related tasks when compared to other single board computers like Raspberry Pi. While Raspberry Pi is excellent for entry-level projects, the Jetson Nano’s architecture is built for tasks requiring substantial computational power, such as running deep learning models. Thus, it's more suited for developers focusing on robotics and AI, providing them with tools that enhance speed and efficiency. -
Question:
What software can I use with the Jetson Nano Developer Kit?
Answer: The Jetson Nano Developer Kit supports a range of software suited for AI development. You can use the NVIDIA JetPack SDK, which includes libraries like TensorRT and DeepStream for building AI applications. Additionally, it supports popular frameworks such as TensorFlow, PyTorch, and OpenCV. This versatility enables developers to experiment with various models and techniques, making it suitable for projects in machine learning, computer vision, and more. -
Question:
Can I use the Jetson Nano for deep learning applications?
Answer: Absolutely, the Jetson Nano is specifically designed to handle deep learning tasks effectively. With its NVIDIA GPU, it maximizes parallel processing, allowing for the execution of complex neural networks. Users can implement various deep learning frameworks to train and deploy models directly on the device. For example, creating an image classifier can be achieved by utilizing pre-trained models and optimizing them for the Jetson Nano's capabilities. -
Question:
What is the maximum power consumption of the Jetson Nano?
Answer: The Jetson Nano typically operates at a power consumption range of 5 to 10 watts depending on the workload. This efficient power management allows developers to design low-power embedded systems without compromising on performance. This makes the Jetson Nano particularly useful in battery-operated devices or situations where power resources are limited, such as drone applications in AI development. -
Question:
What operating systems can run on the Jetson Nano?
Answer: The Jetson Nano primarily runs on Linux for Tegra (L4T), which is based on Ubuntu. This operating system provides a robust environment tailored for development with NVIDIA's libraries and tools. Additionally, users can explore other Linux distributions compatible with ARM architecture, assuming they meet the requirements for the drivers and libraries needed for optimal functionality. This compatibility broadens user options for customizing their development environment. -
Question:
Where can I buy the Seeed Studio Jetson Nano Developer Kit in Faroe Islands?
Answer: You can purchase the Seeed Studio Jetson Nano Developer Kit from Ubuy, which offers a variety of electronic components and development kits tailored for tech enthusiasts in Faroe Islands. Their platform provides a user-friendly experience, ensuring you can easily find the product you need. Additionally, Ubuy is known for its efficient customer support, making your shopping experience smoother as you venture into AI development projects.
seeedstudio Single Board Computers Editorial Review
The Seeed Studio NVIDIA Jetson Orin NX 16GB, known as the reComputer J4012, is garnering attention as a powerful tool for AI enthusiasts, robotics developers, and IoT applications. This compact device packs a significant amount of processing power in a small, fan-cooled enclosure, making it an attractive option for those requiring real-time inferencing and advanced deep learning capabilities without the need to rely on cloud services. Users have praised the reComputer J4012 for its ease of setup, thanks to the pre-installed JetPack and Ubuntu operating system. Many have reported that they were able to run Python scripts and applications within minutes of unboxing the device, which illustrates its user-friendliness and readiness for immediate development. The device's numerous I/O options, including HDMI, multiple USB 3.2 ports, and GPIO headers, make it highly versatile for integrating various sensors and components, further appealing to specialized applications like robotics and vision-based projects. In terms of performance, reviewers highlight that the reComputer J4012 excels at edge AI tasks, delivering up to 100 TOPS (Tera Operations Per Second) while Consuming significantly less power compared to traditional gaming PCs. This efficiency is crucial for many embedded systems where power draw is a concern. Users searching for a dedicated solution to prototype and deploy AI applications will find the J4012 to be a worthwhile investment, even Considering its near high-end gaming PC price point. However, potential buyers should note a few drawbacks. There have been concerns regarding the power supply: while the necessary power brick is included, customers are required to provide their own AC wall cord, which has led to some frustration. Additionally, some users have encountered issues with support and setup, as the device may require unique steps for configuration that aren’t well-documented. Feedback indicates that a Linux host is necessary to manage certain aspects of the hardware, presenting a learning curve for those who might not be as technically savvy. In conclusion, the Seeed Studio reComputer J4012 is highly regarded for its specialized features tailored for edge AI and robotics. While it offers remarkable advantages in terms of power and ease of use, potential buyers should prepare for minor inconveniences such as power supply requirements and initial setup challenges. ###
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Pros
- High AI performance (up to 100 TOPS) in a compact design
- Easy setup with pre-installed JetPack and Ubuntu
- Versatile I/O options for sensor and hardware integration
- Ideal for real-time AI applications and robotics ###
Cons
- Doesn’t include the AC wall cord for the power supply
Product Price History
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DKK 10677
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Delivers up to 70 TOPS AI performance.
- Compact size for versatile placement.
- Includes a pre-installed JetPack system.
- Supports various I/O options for expandability.
- Suitable for both production and development environments.
- Compliant with important certifications like FCC and CE.