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- Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
제품번호 #:
174357393
Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
제품번호 #:
174357393
KRW 748440
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 영국
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지금 주문하시면 도착 예정일 화요일, 7월 21
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The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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What Stands Out
High Performance
Delivers powerful AI processing capabilities with a 4GB memory, perfect for developing rich AI applications, machine learning models, and robotics projects.
Robust Ecosystem
Supports an extensive selection of software tools and libraries, simplifying development for beginners and experts, enhancing productivity and enabling rapid prototyping.
Compact Design
The small form factor allows easy integration into projects, making it ideal for equipment designs where space is at a premium without sacrificing performance.
제품 세부 정보
- Yahboom Jetson Nano 4GB SUB Developer Kit is a consistent alternative to the official Jetson Nano 4GB core module
- The SUB motherboard comes with 16G-eMMC memory, eliminating the need for a separate TF card
- The developer kit delivers high compute performance for running AI workloads like image classification, object detection, and speech processing
- Powered by micro-USB, it features extensive I/Os from GPIO to CSI for connecting new sensors and enabling various AI applications
- Supported by JetPack, including Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning and computer vision
- Please note that the SUB does not have an SD card slot, and memory expansion is possible only through a U disk
| Item Weight | 3 lbs (1.36 kg) |
Who Should Buy?
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AI Enthusiasts
Perfect for hobbyists eager to explore AI projects and machine learning applications on an affordable, compact platform.
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Developers
Ideal for software developers looking to prototype and test AI algorithms and applications using NVIDIA's powerful architecture.
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Educational Use
Great for universities and educational institutions implementing hands-on learning for students in robotics and AI technologies.
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Gaming Users
Not suitable for high-performance gaming needs as it is designed primarily for AI and embedded applications.
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Basic Computing
Inadequate for general computing tasks like web browsing or standard office work, designed specifically for specialized applications.
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Casual Users
Not ideal for casual users looking for plug-and-play devices; requires programming knowledge to utilize effectively.
제품 설명
Jetson Nano Developer Kit Nano B01 with 16G-eMMC Based on Official N-VI-Dia Jetson Nano 4GB Core Module
질문이 있으십니까? 채팅하기
고객 질문 및 답변
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의문:
What is the difference between Yahboom Jetson Nano and official Jetson Nano?
답변: Yahboom Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory and does not have an SD card slot. -
의문:
What are the AI applications it can perform?
답변: It can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. -
의문:
What is the power consumption of the developer kit?
답변: It is incredibly power-efficient, consuming as little as 5 watts and can be powered by micro-USB.
Yahboom Single-Board Computers & Accessories Editorial Review
The Jetson Nano Developer Kit Nano B01 has garnered a positive reputation among its users, particularly for its powerful processing capabilities tailored for AI development and robotics projects. Customers highlight the kit's ease of use as a significant advantage, with many expressing satisfaction at how quickly they were able to set it up and start working on their projects. The inclusion of a 16G-eMMC storage option allows for efficient data handling, an essential feature for developers who require robust processing power. Users appreciate the flexibility of the Jetson Nano, which supports diverse programming languages and frameworks, making it accessible for both beginners and more experienced developers alike. The community support surrounding this product is frequently noted; users find a wealth of resources, tutorials, and forums that can help troubleshoot issues and enhance their learning experiences. However, some customers have pointed out that the device can become quite warm during intensive tasks, occasionally affecting performance if not properly ventilated. This aspect, along with the need for supplementary components, such as a power supply and camera, is frequently mentioned in reviews. Yet, these concerns do not overshadow the overall impression of the Jetson Nano as a valuable tool for those looking to delve into the world of AI and machine learning. In summary, the Jetson Nano Developer Kit stands out for its strong performance, user-friendly setup, and the rich ecosystem it fosters, making it a stellar choice for developers eager to experiment with AI applications. **
Customer Reviews & Ratings
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장점
- Powerful processing capabilities for AI and robotics.
- Easy setup, suitable for beginners and experienced users.
- Supports diverse programming languages and frameworks.
- Strong community support with ample resources.
단점
- Can become warm during intensive tasks.
Product Price History
중요 정보
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KRW 748440
지금 주문하시면 도착 예정일 화요일, 7월 21
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특징 및 장점
- Yahboom Jetson Nano Developer Kit Nano B01 is a perfect alternative to official Jetson nano 4GB core module
- It includes 16G-eMMC memory and can expand the USB3.0 U disk
- It can run AI frameworks and models for image classification, object detection, segmentation, and speech processing
- It is power-efficient, consuming as little as 5 watts and can be powered by micro-USB
- The kit comes with extensive I/Os, ranging from GPIO to CSI
- Jetson Nano is supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries.