NVIDIA Jetson Nano Developer Kit
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NVIDIA Jetson Nano Developer Kit
NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
NVIDIA Jetson Nano Developer Kit
Artículo nº.: 11825723

NVIDIA Jetson Nano Developer Kit

Artículo nº.: 11825723

AWG 679

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NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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Lo que más destaca

Powerful GPU
Equip your projects with a 128-core Maxwell GPU, delivering impressive performance for deep learning and image processing tasks in a compact, energy-efficient format.
Ease of Use
Designed for developers, the Jetson Nano Kit simplifies integrating AI into various applications, offering a plug-and-play experience with extensive community support and resources for rapid development.
Affordable AI
Access high-performance AI capabilities without breaking the bank. The NVIDIA Jetson Nano provides exceptional value for developers and hobbyists looking to create innovative projects at an affordable price.

Detalles de producto

Shop the NVIDIA Jetson Nano Developer Kit at Ubuy Aruba. Get the best deals and offers on this powerful developer kit for AI projects.
Peso del paquete1.27 libra

¿Quién debería comprarlo?

Suitable For
  • AI Developers

    Ideal for developers designing AI applications, offering powerful GPU capabilities and ease of integration with existing platforms.

  • Robotics Enthusiasts

    Perfect for hobbyists and professionals building robots, providing necessary computational power for real-time processing and machine learning.

  • Education Purposes

    Great for students and educators focusing on AI and robotics, offering an accessible introduction to deep learning technologies.

Not Suitable For
  • Usuarios Casual

    Not suitable for users seeking simple computing tasks as it requires programming knowledge and familiarity with AI development.

  • High-End Gaming

    Not designed for gaming, as its performance may not meet the demands of modern gaming applications and graphics.

  • Large Scale Deployments

    Less ideal for industrial applications needing high compute power, as Jetson Nano is geared towards smaller projects and prototypes.

DESCRIPCIÓN DEL PRODUCTO

NVIDIA Jetson Nano Developer Kit

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Preguntas y respuestas de los clientes

  • pregunta: What is the NVIDIA Jetson Nano Developer Kit used for?

    responder: The NVIDIA Jetson Nano Developer Kit is a powerful platform designed for machine learning and AI projects. It enables developers to build applications that require deep learning capabilities, such as robotics, smart cameras, and IoT devices. With a 128-core GPU and support for popular ML frameworks like TensorFlow and PyTorch, this kit allows you to execute complex models efficiently, making it ideal for students, educators, and hobbyists exploring the fields of AI and robotics.
  • pregunta: What kind of projects can I build with the NVIDIA Jetson Nano?

    responder: You can create a variety of innovative projects with the NVIDIA Jetson Nano, including autonomous robots, intelligent drones, and advanced image recognition systems. The kit's versatility supports applications in healthcare, agriculture, and smart cities. For instance, you can develop a real-time object detection system for a drone or a home automation system that utilizes AI to learn and automate tasks based on user behavior, showcasing the kit's potential in diverse settings.
  • pregunta: What are the main specifications of the NVIDIA Jetson Nano Developer Kit?

    responder: The NVIDIA Jetson Nano Developer Kit features a quad-core ARM Cortex-A57 CPU and a 128-core Maxwell GPU, providing exceptional processing power for AI tasks. Additionally, it includes 4GB of LPDDR4 RAM and supports various interfaces such as USB 3.0, HDMI, and GPIO. This configuration offers a perfect balance of performance and efficiency, allowing developers to run multiple applications simultaneously while managing energy consumption effectively.
  • pregunta: How do I get started with the NVIDIA Jetson Nano?

    responder: Starting with the NVIDIA Jetson Nano involves setting up the development environment, which includes installing the JetPack SDK. You’ll need a microSD card for the operating system, which you can easily flash with NVIDIA's tools. Once configured, you can access various sample projects and tutorials provided by NVIDIA, helping you learn the fundamentals of AI programming and project development, paving the way for your innovative applications.
  • pregunta: Can the NVIDIA Jetson Nano be used for deep learning training?

    responder: While the NVIDIA Jetson Nano is primarily designed for deploying pre-trained models, it can perform some lightweight training tasks. Its architecture allows for inference and fine-tuning of models but is not suitable for training large models from scratch due to limitations in power and memory. Users often employ it to run smaller scale experiments or to understand the deployment pipeline in real-world scenarios before using more powerful GPUs for extensive training.
  • pregunta: What accessories are recommended for the NVIDIA Jetson Nano?

    responder: Recommended accessories for the NVIDIA Jetson Nano include a microSD card with a minimum of 16GB for optimal performance, a compatible power supply, and a cooling solution, as it can heat up under load. Additionally, expansion boards and USB peripherals can enhance your development experience. For instance, a camera module can enable computer vision projects, while an external keyboard and mouse are essential for initial setup and coding.
  • pregunta: Is the NVIDIA Jetson Nano suitable for beginners?

    responder: Yes, the NVIDIA Jetson Nano is beginner-friendly, especially for those interested in AI and robotics. It comes with comprehensive documentation, tutorials, and a supportive community, making it accessible for newcomers. Hands-on learning through pre-built sample applications helps new users grasp core concepts while providing a platform for more advanced exploration as they grow their skills in machine learning and AI development.
  • pregunta: What is the power consumption of the NVIDIA Jetson Nano?

    responder: The NVIDIA Jetson Nano consumes approximately 5 to 10 watts of power, depending on the tasks it is performing. This low-power design makes it suitable for battery-operated applications in robotics and IoT devices. As a practical example, users often deploy it on drones or edge devices where energy efficiency is crucial, allowing extended operation without the need for frequent recharging or power sources.
  • pregunta: Can I run Linux on the NVIDIA Jetson Nano?

    responder: Absolutely! The NVIDIA Jetson Nano is powered by a customized version of Ubuntu Linux, specifically optimized for NVIDIA's AI capabilities. Users can leverage the JetPack SDK to access a rich set of libraries and tools tailored for AI and machine learning development. This Linux environment not only supports a variety of programming languages but also allows for seamless integration with other Linux software and libraries, enhancing the development process.
  • pregunta: Where can I buy the NVIDIA Jetson Nano Developer Kit in Aruba?

    responder: You can purchase the NVIDIA Jetson Nano Developer Kit from Ubuy, which offers a reliable platform for buying electronic gadgets and components. They provide a range of products including the latest developer kits, ensuring you get access to genuine items and assistance throughout your purchase. Ubuy’s convenient interface makes it easy to search for the Jetson Nano and other essential accessories for your projects.

NVIDIA Single Board Computers Editorial Review

The NVIDIA Jetson Nano, a single-board computer for AI applications, is reviewed and questioned in this article. The board is said to come with no power adapter, and a strong adapter is recommended, as adapters that are too cheap should be avoided. As for programming, users can develop on it with Python and C, but must consider that the board is an ARM architecture. Additionally, the board can run Ubuntu Linux and several neural networks with GPU acceleration. However, there are some complaints about its value and difficulty in utilizing its hardware acceleration capabilities.

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ventajas

  • Ideal for AI applications
  • Plenty of memory and processing power
  • Strong compatibility as well as tutorials available
  • Upgradeable operating system

Contras

  • No power adapter included

Historial de precios del producto

Información importante

  • Limitaciones: para los productos enviados internacionalmente, hay que tener en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en el idioma del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje y otras normas eléctricas del país de destino (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Al realizar un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir con todas las leyes y reglamentos del país de destino.
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AWG 679

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Transacción seguraTransacción segura

Ubuy trabaja arduamente para proteger tu seguridad y privacidad. Nuestro avanzado sistema de seguridad de pagos garantiza la confidencialidad al cifrar tu información durante la transmisión mediante los protocolos AES (Estándares de Cifrado Avanzado) y SSL (Capa de Conexión Segura). Tus datos de pago están 100% seguros, ya que no compartimos tus detalles de pago con vendedores externos.

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Características y beneficios

  • Low-cost AI computer
  • Incredibly power-efficient
  • Supported by NVIDIA Jetpack
  • Extensive I/Os available
  • Fast and easy to get started
  • Proven software stack