Nvidia original Jetson TX2 Development board Core module Original backboard High-performance Ubuntu motherboard

Embedded development

NVIDIA Jetson TX2 delivers speed and power efficiency for embedded AI computing devices. This supercomputer module is equipped with NVIDIA PascalGPU, up to 8GB of memory, 59.7GB /s of video memory bandwidth, provides a variety of standard hardware interfaces, adapt to various products and form specifications, and achieve a true sense of AI computing terminal.

Al Artificial Intelligence

NVIDIA Jetson TX2 can run a wide variety of advanced neural networks such as TensorFlow, PyTorch, Caffe/Caffe2, Keras.MXNet, and more. By enabling capabilities such as image recognition, object detection and positioning, voice segmentation, video enhancement, and intelligent analytics, these networks can be used to build autonomous robots and complex intelligent AI systems

Jetson TX2 development kit

NVIDIA Jetson TX2 is an energy efficient and powerful AI development kit, which is equipped with quad-core ARM A57 processor and dual-core Denver2 processor, 256-core NVIDIA Pascal architecture GPU, super Al computing power, It is suitable for intelligent edge equipment such as robots, drones, smart cameras and portable medical equipment.

The NVIDIA Jetson TX2 development kit is powered by the Jetson TX2 development board and comes with a variety of hardware interfaces that support NVIDIA JetPack, including software libraries such as BSP, deep learning, computer vision, GPU computing, multimedia processing, CUDA, cuDNN, and TensorRT. Other popular Al frameworks and algorithms are also supported, such as TensorFlow, PyTorch, Caffe/Caffe2, Keras,MXNet, etc.

Compared to the Jetson TX1, the Jetson TX2 delivers twice the computing performance and half the power consumption, providing better performance and accuracy for device applications such as smart cities, smart factories, robotics and manufacturing prototypes. It also supports all the features of the Jetson TX1 module, while enabling larger and more complex deep neural networks.

Specification parameters:

CPU: Dual-core Denver 264 bit CPU + quad-core ARM Cortex-A57 MPCore

GPU: 256 core Pascal GPU

Memory :8GB 128-bit LPDDR4 Memory storage :32GB eMMC 5.1

Display :HDMI 2.0 / eDP 1.4/2x DSl

Display :HDMI 2.0 / eDP 1.4/2x DSl/ 2x DP 1.2

USB: USB 3.0 +USB 2.0(Micro USB)

Others :GPIO, l2C, 12S,SPI, UART

Power Supply :DC jack (19V)

Ethernet :10/100/100OBASE-T adaptive

Camera: 12-channel MIPI CSI-2 D-PHY 1.2 (30 Gbps)

Wireless card :802.11ac WIFI + Bluetooth

Video coding :4K x 2K 60Hz (HEVC)

Video decoding :4K x 2K 60Hz (12-bit support)