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Nº de artículo:
202940900
Jetson Nano Developer Kit B01 N-VIDIA Replacement 4GB
Nº de artículo:
202940900
CLP 495130
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The Jetson Nano 4GB SUB developer kit provides computing performance to run the latest AI workloads in size, power, and cost unlike ever before.
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What Stands Out
Compact Design
The Jetson Nano Developer Kit features a small form factor, making it perfect for embedded AI applications and projects where space is limited without sacrificing performance.
Powerful GPU
Equipped with an NVIDIA GPU, the Jetson Nano processes complex AI algorithms efficiently, enabling real-time inferencing for robotics, computer vision, and AI projects, outpacing competitors in the same category.
Extensive Community Support
Backed by NVIDIA's robust developer community, the Jetson Nano provides access to extensive resources, documentation, and forums, fostering innovation and troubleshooting functionality that is unmatched by lesser-known brands.
Detalles de producto
- B01 Replacement for Jetson Nano Developer Kit
- Perfect ReplacementThe Jetson Nano 4GB SUB is a very consistent developer kit based on the Jetson Nano 4GB core module. The only difference is that the Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory so you dont need to use the TF separately. The card can be executed and can extend the USB 3.0 U disk at the same time. 0 card reader, TF card for expanding memory. SUB does not have SD card slot, so memory upgrade can only be solved by U disk
- The Jetson Nano 4GB SUB developer kit provides computing performance to run the latest AI workloads in size, power, and cost unlike ever before. Developers, learners, and manufacturers are able to run AI framework and models for applications such as image classification, object detection, segmentation, and speech processing
- This developer kit is powered by micro-USB and comes with a wide range of I/Os from GPIO to CSI. This allows developers to connect a variety of new sensors to enable a variety of AI applications. And it is extremely power-efficient and consumes only 5 watts
- The Jetson Nano is also supported by JetPack. It includes Board Support Package BSP, Linux OS, NVIDIA CUDA, cuDNN, TensorRT software library for deep learning, computer vision, GPU computing, multimedia processing and more. Software available using easy-to-flash SD card images for fast and easy startup
- Same JetPack SDK used throughout the entire JETSON product family and is fully compatible with Ns world-class AI platform for training and introduction of AI software. Proven software stack reduces complexity and overall effort for developers
- SUB does not have SD card slot. Memory expansion can only be solved with U disk. Jetson NANO 4GB SUB pin P19, P21, P23, P24, P26 cannot be set to SPI mode such as N-VI-DIA B01. No CPU socket fixed Jetson Nano modules feature a SoC CPU+GPU integrated chip directly onboard and are not replaceable socket format
| Memory Storage Capacity | 4 GB |
| CPU Model | None |
| Connectivity Technology | GPIO, USB |
| Operating System | Linux |
| Processor Brand | NVIDIA |
| Wireless Compability | Bluetooth |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 4 |
| Total Usb Ports | 1 |
| Brand | ノーブランド品 |
| Model Name | 945-13450-0000-100 |
| Built-In Media | No |
| Country of Origin | China |
| Item Weight | 241 Grams |
| Manufacturer | Yahboom |
| Model Number | 945-13450-0000-100 |
| Mfr Part Number | 945-13450-0000-100 |
DESCRIPCIÓN DEL PRODUCTO
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Preguntas y respuestas de los clientes
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Pregunta:
What applications can the Jetson Nano run?
Respuesta: It can run multiple neural networks, object detection, and speech processing applications. -
Pregunta:
How is memory expanded on the Jetson Nano?
Respuesta: Memory expansion can only be done via a USB drive, as it does not have an SD card slot. -
Pregunta:
What is the power consumption of the Jetson Nano?
Respuesta: The Jetson Nano is extremely power-efficient, consuming only 5 watts.
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CLP 495130
Haz tu pedido ahora y recíbelo por ahí Sábado, Septiembre 26
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características y beneficios
- Powerful AI computing with quad-core Cortex-A57 and 128-core Maxwell GPU.
- Supports a variety of AI frameworks like TensorFlow and PyTorch.
- Optimized for developers, learners, and manufacturers for AI applications.
- Highly power-efficient, consuming only 5 watts.
- Includes access to the full JetPack SDK for easy development.
- Memory expansion is via USB, with no SD card slot.
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