NVIDIA® Jetson Nano ™ Developer Kit 開發套件 原廠公司貨 2020最新改良版

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NVIDIA® Jetson Nano ™ Developer Kit 開發套件 原廠公司貨 2020最新改良版

NVIDIA®JetsonNano ™開發套件可提供計算性能，以前所未有的尺寸，功耗和成本運行現代AI工作負載。開發人員，學習者和製造者現在可以為圖像分類，對象檢測，分割和語音處理等應用程序運行AI框架和模型。

開發套件可以通過micro-USB供電，並提供廣泛的I / O，範圍從GPIO到CSI。這使得開發人員可以輕鬆連接各種新傳感器，以支持各種AI應用程序。它的功率效率令人難以置信，功耗僅為5瓦。

Jetson Nano還得到NVIDIA JetPack的支持，其中包括用於深度學習，計算機視覺，GPU計算，多媒體處理等的板級支持包（BSP），Linux OS，NVIDIACUDA®，cuDNN和TensorRT™軟件庫。該軟件甚至可以使用易於閃存的SD卡圖像，使其快速，輕鬆地開始使用。

整個NVIDIA Jetson™系列產品使用相同的JetPack SDK，並與NVIDIA世界領先的AI平台完全兼容，用於培訓和部署AI軟件。經過驗證的軟件堆棧降低了開發人員的複雜性。

 

 

 

 

技術規格

• GPU：128核心Maxwell
• CPU：四核ARM A57 @ 1.43 GHz
• 內存：4 GB 64位LPDDR4 25.6 GB / s
• 存儲：microSD（不包括在內）
• 視頻編碼器：4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30（H.264 / H.265）
• 視頻解碼器：4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 |（H.264 / H.265）
• 攝像頭：2個MIPI CSI-2 DPHY通道
• 連接性：千兆以太網，M.2 Key E
• 顯示：HDMI 2.0和eDP 1.4
• USB：4個USB 3.0，USB 2.0 Micro-B
• 其他：GPIO，I2C，I2S，SPI，UART
• 機械：100毫米x 80毫米x 29毫米

 

B01版本更新內容

• B01修訂版載體與生產規格Jetson Nano模塊兼容。A02版本載體不是。
• 卸下按鈕標題[J40]位置
• 卸下串行端口接頭連接器[J44]的位置
• 調整電源選擇跳線的位置[J48]
• 調整了相機連接器的位置[J13]
• 添加了相機連接器[J49]的位置
• 工廠JetPack從4.2 SDK升級到4.3 SDK

Documents

• Jetson Nano Developer Kit入門
• Jetson Nano開發人員套件用戶指南

 

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NVIDIA® Jetson Nano™ Developer Kit

The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.

The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

Key Features

 Jetson Nano Module

• 128-core NVIDIA Maxwell™ GPU
• Quad-core ARM® A57 CPU
• 4 GB 64-bit LPDDR4
• 10/100/1000BASE-T Ethernet

 Power Options

• Micro-USB 5V 2A
• DC power adapter 5V 4A

 I/O

• USB 3.0 Type A
• USB 2.0 Micro-B
• HDMI/DisplayPort
• M.2 Key E
• Gigabit Ethernet
• GPIOs, I2C, I2S, SPI, UART
• MIPI-CSI camera connector
• Fan connector
• PoE connector

 Kit Contents

• NVIDIA Jetson Nano module and carrier board
• Quick Start Guide and Support Guide

Changes with the B01 Kit

Specifications

• GPU: 128-core Maxwell
• CPU:Quad-core ARM A57 @ 1.43 GHz
• Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
• Storage: microSD (not included)
• Video Encoder: 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
• Video Decoder: 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30|(H.264/H.265)
• Camera: 2x MIPI CSI-2 DPHY lanes
• Connectivity: Gigabit Ethernet, M.2 Key E
• Display: HDMI 2.0 and eDP 1.4
• USB: 4x USB 3.0, USB 2.0 Micro-B
• Others: GPIO, I2C, I2S, SPI, UART
• Mechanical: 100 mm x 80 mm x 29 mm

Version Change Information for B01 from A02

• The B01 revision carrier is compatible with the production specification Jetson Nano module. The A02 revision carrier is not.
• Removed Button Header [J40] Position
• Removed Serial Port Header [J44] Position
• Adjusted the Position of Power Select Jumper [J48]
• Adjusted the Position of Camera Connector [J13]
• Added Camera Connector [J49] location
• Factory JetPack Upgrade from 4.2 SDK to 4.3 SDK