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Artículo nº.:
19308119
NVIDIA Jetson Nano Developer Kit B01
89% de los encuestados recomendarían esto a un amigo
Artículo nº.:
19308119
€ 195
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Join the revolution and bring AI power to millions of devices with the Jetson Nano Developer Kit - small size, low power, and low cost, yet incredibly powerful with only 5W power consumption.
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Lo que más destaca
Powerful GPU
Equipped with a 128-Core Maxwell GPU, the Jetson Nano delivers remarkable graphics processing capabilities, ideal for advanced AI applications and projects that require high computational power.
Low Power Consumption
Designed for efficiency, the Jetson Nano operates on low power, making it perfect for embedded systems and AI projects where energy usage is a concern, without compromising performance.
Accessible Development
The Jetson Nano Developer Kit is user-friendly, catering to developers of all levels. It provides tools and support to streamline the development process, ideal for rapid prototyping and innovation in AI solutions.
Detalles del producto
- GPU: 128Core Maxwell GPU, CPU: 4Core ARM A57, Memory: 4GB 64Bit LPDDR4 | 25.6GB/s
- Storage: microSD (not included)
- Enables AI applications in a small, low-power, and affordable design
- Supports various sensors with GPIO, CSI, etc. and can be powered by micro USB
- Super power efficient, consuming only 5W for incredible performance
- Includes Jetpack with Board Support Package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries
| RAM Memory Installed | 4 GB |
| CPU Model | ARMv7 |
| Operating System | Android 6 Marshmallow |
| Processor Brand | ARM |
| Compatible Devices | Camera, Computer, Keyboard, Mouse, Display |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 4 |
| Brand | NVIDIA |
| Model Name | Jetson Nano |
| Built-In Media | Quick Start Guide |
| Number of Items | 1 |
| UPC | 822361292746 |
| Item Type Name | Single Board Computer Kit |
| Manufacturer | NVIDIA |
| Mfr Part Number | NVIDIA Jetson Nanou958bu767au30adu30c3u30c8 |
| Ram Memory Installed Size | 4 GB |
| Included Components | Quick Start Guide |
| Item Weight | 1 lbs (450 grams) |
¿Quién debería comprarlo?
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AI Enthusiasts
Ideal for hobbyists exploring AI implementation, providing powerful capabilities in a low-cost, efficient module.
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Educational Use
Perfect for students and educators to learn about machine learning and robotics with hands-on experience.
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Prototypers
Great for developers building prototypes and testing algorithms in real-time without breaking the budget.
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High-Performance Tasks
Not suitable for demanding AI applications requiring more processing power and memory than the Jetson Nano offers.
DESCRIPCIÓN DEL PRODUCTO
NVIDIA Jetson Nano Developer Kit B01
About This Item
Introducing the NVIDIA Jetson Nano Developer Kit B01 - Join the revolution in AI power! This developer kit allows you to tap into the incredible potential of AI and bring its capabilities to millions of devices. With its compact size, low power consumption, and affordable price, the Jetson Nano Developer Kit is the perfect solution for image classification, object detection, segmentation, and voice processing applications. Equipped with various sensors and I/Os including GPIO and CSI, this developer kit supports a wide range of sensors to meet your specific requirements.
Plus, it can be conveniently powered by a micro USB, making it super efficient with only 5W power consumption. But the power of the Jetson Nano Developer Kit doesn't stop there. It also comes with Jetpack, which includes essential software libraries such as the Board Support Package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT.
Now you can leverage the power of deep learning, computer vision, GPU computing, multimedia processing, and more, thanks to this state-of-the-art kit. Please note that the power supply and storage (microSD card) are not included. Don't miss out on the opportunity to bring AI to your projects.
Get the NVIDIA Jetson Nano Developer Kit B01 today and unlock the full potential of AI for your applications.
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Preguntas y respuestas de los clientes
-
Pregunta:
What accessories are included with the Jetson Nano Developer Kit?
Respuesta: The Jetson Nano Developer Kit includes the board only. Power supply and storage (microSD card) are not included. -
Pregunta:
What types of applications is the Jetson Nano Developer Kit suitable for?
Respuesta: The kit is suitable for image classification, object detection, segmentation, voice processing applications, deep learning, computer vision, GPU computing, multimedia processing, and more. -
Pregunta:
What are the power requirements for the Jetson Nano Developer Kit?
Respuesta: The kit can be powered by micro USB and has a super power efficient operation with only 5W power consumption.
NVIDIA Computer Components Editorial Review
NVIDIA Jetson Nano Developer Kit B01 is a powerful single board computer that features 4 GB of LPDDR4 RAM and a robust ARMv7 CPU model, making it suitable for various applications ranging from robotics to multimedia. The ease of use is enhanced by the included Quick Start Guide, which helps both beginners and seasoned developers get started quickly. Its compatibility with devices such as cameras, keyboards, and displays offers versatility for numerous projects, catering to hobbyists and professionals alike. Overall, the NVIDIA Jetson Nano helps bridge the gap between the requirements of modern AI and deep learning workloads with its impressive specifications.
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Ventajas
- 4 GB RAM enhances multitasking capabilities
- Compatible with various devices and peripherals
- Includes Quick Start Guide for easy setup
- ARMv7 CPU is efficient for lightweight tasks
- Ideal for robotics and AI projects
Desventajas
- Requires knowledge of programming for optimal use
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€ 195
Haz tu pedido ahora y recíbelo el Sábado, Septiembre 05
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Transacción segura
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La entrega internacional más rápida
Características y beneficios
- Revolutionary AI power for millions of devices
- Small size, low power, and low cost
- Incredible performance with only 5W power consumption
- Supports various sensors and I/Os
- Instantly use Board Support Package, Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries
- GPU: 128Core Maxwell GPU, CPU: 4Core ARM A57, Memory: 4GB 64Bit LPDDR4 | 25.6GB/s, Storage: microSD (not included)
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