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2020 New NVIDIA Jetson Nano B01 Developer Kit B01 version linux Demo Board Deep Learning AI Development Board Platform

NV0033
2020 Latest NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.
Price:
$119.99
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10-19
$114.99
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$111.99
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$109.99
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$106.99
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$104.99
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Specifications
Brand Name: Nvidia Demo Board Type: ARM Memory: 4G LPDDR4 USB: 4xUSB 3.0 , USB 2.0 Micro-B GPU: 128-core Maxwell GPU CPU: Quad-core ARM Cortex-A57 System: Linux Connectivity: 10/100/1000BASE-T self-negotiation

Documents code: NV0033
You can find wiki of the product by using documents code at this link:
https://youyeetoo.com/blog/jetson-nano-module-b-with-16g-emmc-nv0031-nv0030-b0035.html

 


Package Details
Bundle1: Jetson nano dev kit B01
Bundle2: Jetson nano dev kit B01 + 5V/5A Power Supply + 16GB TF Card
Bundle3: Jetson nano dev kit B01 + 5V/5A Power Supply + 16GB TF Card + Dual-Band Wi-Fi + BT Module
Bundle4: Jetson nano dev kit B01 + 5V/5A Power Supply + 16GB TF Card + Dual-Band Wi-Fi + BT Module + Raspberry Pi 8MP Camera Module

 

Introduction 

NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.
 

Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
 

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.

 

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Shipping List                                                                                                            

Jetson-nanoB01套餐图-英文


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