NVIDIA JETSON TX2 4GB MODULE - (without Ethernet 900-83489-0010-000)

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Please note: This is a Module and not a Development kit

256-core Pascal GPU
Dual-core NVIDIA Denver 2
Quad-core ARM A57 complex
ARM A57 Complex
4 GB 128 Bit LPDDR4 | 25.6 GB/s
16 GB eMMC 5.1

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Please contact us on the following:

T: +44 (0)118 981 6888
E: [email protected]

Our Price (ex VAT): €303.78

Product Code: 900-83489-0010-000

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Description

Features

Technical information

The NVIDIA Jetson TX2 4GB module delivers powerful computing performance in a small creditcard form factor to run modern AI workloads.It can be configured to operate between 7.5W and 15W, making the module ideal for diverse set of intelligent edge devices like robots, drones, smart cameras, and portable medical devices.The module offers three times the performance of Jetson Nano, enabling the development of high performance, energy efficient and affordable products.

Jetson TX2 4GB features a variety of standard hardware interfaces,ranging from low speed GPIOs to high-speed PCIe and USBs.This makes it easy to be integrated into a wide range of products and form factors.

The module is supported by NVIDIAJetPack, which includes a board support package(BSP), LinuxOS, NVIDIACUDA, cuDNN, andTensorRT software libraries for deeplearning, computervision, GPUcomputing, multimedia processing, and much more.

The software is easy-to-use, making it fast to get started. Jetpack SDK is used across the NVIDIA Jetson family of products and is fully compatible with the world-leading NVIDIA AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

Product Support

Find everything you need to get started and download the SDK at the NVIDIA Developer Site.

NVIDIA Jetson systems provide the performance and power efficiency to run autonomous machines software, faster and with less power. Each is a complete System-on-Module (SOM), with CPU, GPU, PMIC, DRAM, and flash storage—saving development time and money. Jetson is also extensible. Just select the SOM that’s right for the application, and build the custom system around it to meet its specific needs.