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NVIDIA Jetson TX2 Development Kit, 8 GB 128 bit LPDDR4 32 GB eMMC, the AI Solution for Autonomous Machines

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This kit highlights the hardware capabilities and interfaces of the Jetson TX2 board, comes with design guides and documentation, and is pre-flashed with a Linux development environment. It also supports the NVIDIA Jetpack SDK, which includes the BSP, lib
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Documents code: NV0001

Overview

JETSON TX2 DEVELOPER KIT

This kit highlights the hardware capabilities and interfaces of the Jetson TX2 board, comes with design guides and documentation, and is pre-flashed with a Linux development environment. It also supports the NVIDIA Jetpack SDK, which includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and more.

 

DEVELOPER KIT KEY FEATURES

The AI solution for autonomous machines

THE MOST ADVANCED PLATFORM FOR AI AT THE EDGE

NVIDIA Jetson is the world’s leading AI computing platform for GPU-accelerated parallel processing in mobile embedded systems. Its high-performance, low-power computing for deep learning and computer vision makes it the ideal platform for compute-intensive embedded projects.

 

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Introdution

       

INTRODUCING NVIDIA JETSON XAVIER

Now, you can get all the performance of a GPU workstation in an embedded module under 30 W with the latest addition to the Jetson platform—the NVIDIA  Jetson Xavier  Developer Kit. Powered by the new Xavier processor, this developer kit is built for autonomous machines, delivering more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. It's ideal for running modern AI workloads and building applications in manufacturing, logistics, retail, service, agriculture, smart cities, healthcare, and more.

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NVIDIA Jetson TX2 is an embedded system-on-module (SoM) with dual-core NVIDIA Denver2 + quad-core ARM Cortex-A57, 8GB 128-bit LPDDR4 and integrated 256-core Pascal GPU.

 

Useful for deploying computer vision and deep learning, Jetson TX2 runs Linux and provides greater than 1TFLOPS of FP16 compute performance in less than 7.5 watts of power.

 

Jetson TX2 is available as the module, developer kit, and in compatible ecosystem products. 

 

 

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card emulation

 

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Hardware interface

 

TX2

NVIDIA launched Jetson TX2 and the JetPack 3.0 AI SDK. Jetson is the world’s leading low-power embedded platform, enabling server-class AI compute performance for edge devices everywhere. Jetson TX2 features an integrated 256-core NVIDIA Pascal GPU, a hex-core ARMv8 64-bit CPU complex, and 8GB of LPDDR4 memory with a 128-bit interface.  The CPU complex combines a dual-core NVIDIA Denver 2 alongside a quad-core ARM Cortex-A57. The Jetson TX2 module—shown in Figure 1—fits a small Size, Weight, and Power (SWaP) footprint of 50 x 87 mm, 85 grams, and 7.5 watts of typical energy usage.
 
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Internet-of-Things (IoT) devices typically function as simple gateways for relaying data. They rely on cloud connectivity to perform their heavy lifting and number-crunching. Edge computing is an emerging paradigm which uses local computing to enable analytics at the source of the data. With more than a TFLOP/s of performance, Jetson TX2 is ideal for deploying advanced AI to remote field locations with poor or expensive internet connectivity. Jetson TX2 also offers near-real-time responsiveness and minimal latency—key for intelligent machines that need mission-critical autonomy.
 
Jetson TX2 is based on the 16nm NVIDIA Tegra “Parker” system on a chip (SoC) (See as below). Jetson TX2 is twice as energy efficient for deep learning inference than its predecessor, Jetson TX1, and offers higher performance than an Intel Xeon Server CPU. This jump in efficiency redefines possibilities for extending advanced AI from the cloud to the edge.
 
Tegra_Parker_Block_Diagram-1
 
​Jetson TX2 has multiple multimedia streaming engines to keep its Pascal GPU fed with data by offloading sensor acquisition and distribution. These multimedia engines include six dedicated MIPI CSI-2 camera ports that provide up to 2.5 Gb/s per lane of bandwidth and 1.4 gigapixels/s processing by dual Image Service Processors (ISP), as well as video codecs supporting H.265 at 4K 60 frames per second.
 
 
TX2 with  camera
 
Jetson TX2 accelerates cutting-edge deep neural network (DNN) architectures using the NVIDIA cuDNN and TensorRT libraries, with support for Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and online reinforcement learning. Its dual-CAN bus controller enables autopilot integration to control robots and drones that use DNNs to perceive the world around them and operate safely in dynamic environments. Software for Jetson TX2 is provided through NVIDIA’s JetPack 3.0 and Linux For Tegra (L4T) Board Support Package (BSP).
 
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Getting Started with the Jetson TX2 Developer Kit

To get started, NVIDIA provides the Jetson TX2 Developer Kit complete with a reference mini-ITX carrier board (170 mm x 170mm) and a 5-megapixel MIPI CSI-2 camera module. The Developer Kit includes documentation and design schematics and free software updates to JetPack-L4T. Figure 5 pictures the Developer Kit, showing the Jetson TX2 module and standard PC connections including USB3, HDMI, RJ45 Gigabit Ethernet, SD card, and a PCIe x4 slot, which make it easy to develop applications for Jetson.

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Pack list

Bundle 1: 

NVIDIA JETSON TX2 MODULE x1

shipping list 500x

 

zhixian

Bundle 2:

TX2  shipping list 500x

1.NVIDIA Jetson TX2 Developer Kit x1

2.WIFI Antenna x2

3.Micro USB Cable*1

4.USB Micro-B to USB A Male Cable*1
 

5.Power Line*1

6.Power Supply*1

7.User Manual*1
 
8.Package Box*1
 
zhixian

Bundle 3:

TX2  shipping list Bundle3 500x

1.NVIDIA Jetson TX2 Developer Kit x1

2.WIFI Antenna x2

3.Micro USB Cable*1

4.USB Micro-B to USB A Male Cable*1
 

5.Power Line*1

6.Power Supply*1

7.User Manual*1
 
8.Package Box*1
​9.Metal  Case*1
 

 

zhixian
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Wiki : https://elinux.org/Jetson

Resource: https://devblogs.nvidia.com/jetson-tx2-delivers-twice-intelligence-edge/

Forum: https://devtalk.nvidia.com/default/board/139/embedded-systems/1

Blog: https://devblogs.nvidia.com/

Quick start: https://developer.nvidia.com/embedded/learn/getting-started-jetson

Tutorials: https://developer.nvidia.com/embedded/learn/tutorials 

Jetson TX2 Module Datasheet:  https://developer.nvidia.com/embedded/dlc/jetson-tx2-tx2i-module-data-sheet

                                                                                              

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