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NVIDIA Jetson Embedded Systems

  • Jetson TX2 NX IPC SYS-2006
  • Jetson TX2 NX IPC SYS-2006
  • Jetson TX2 NX IPC SYS-2006
Jetson TX2 NX IPC SYS-2006Jetson TX2 NX IPC SYS-2006Jetson TX2 NX IPC SYS-2006

Jetson TX2 NX IPC SYS-2006

NVIDIA® Jetson TX2 NX, which can provide 1.33 TFLOPS of computing power in 15W power mode, which is 2.5 times the computing power of Jetson Nano
with 256 CUDA Cores
6 ARM CPU cores
4 GB 128-bit DDR4 memory, it can run multiple network models simultaneously
Feature

* NVIDIA Jetson Carrier Board:

Support NVIDIA Jetson Nano/TX2NX Module

* Versatile Connectivity:
Offer 1x RJ45, 2x USB 3.0, 1x USB 2.0, 1x HDMI and 1x USB Micro B

* Advanced Peripherals Supported:
Assemble 1x TF slot, 1x Nano SIM, 2 RS232, 3x GPIO, 1x GPO

* Input Power: DC +9V~+24V

* Compact and Durable during Operation:
Design in small size of 160mm*133mm*90mm to save operation space, and maintain function in the temperature range from -20°C to 65℃


* Expansion:

4G communication module, WIFI/Bluetooth module, Video capture/output module, Multi I/O module.


Product Name
 TX2NX-SYS-2006
Jetson Module Supported
 NVIDIA Jetson TX2 NX
AI Processor 1.33 TFLOPS
GPU 256-core NVIDIA Pascal™ architecture GPU
CPU Dual-Core NVIDIA Denver 2 64-Bit CPU and Quad-Core Arm® Cortex®-A57 MPCore processor

Memory

8GB 128-bit LPDDR4x
59.7GB/s

Storage

16GB eMMC 5.1

Video Encode

1x 4K60 (H.265)
3x 4K30 (H.265)
4x 1080p60 (H.265)
Video Decode
 2x 4K60 (H.265)
7x 1080p60 (H.265)
14x 1080p30 (H.265)
CSI Camera
 Up to 5 cameras
(12 via virtual channels)12 lanes MIPI CSI-2D-PHY 1.1 (up to 30 Gbps)
Networking
 1x Gigabit Ethernet(10/100/1000 BAST-T) RJ45
USB
 2x USB 3.0 Type-A
1x USB 2.0
1x Micro USB

Display

1x HDMI

Other I/O 1x Micro TF，1x Nano SIM，2x RS232，3x GPIO，1x GPO

Mechanical

160mm x 133mm x 90mm
Weight 1078g
Operating Temperature
 -20℃~+65℃
Power DC +9V～+24V


Application

* robots and robotics

* face recognition
* Unmanned boats/cars
* Industrial automation and control systems
* Digital signage and media players
* IoT (Internet of Things) and embedded systems

* Education and prototyping projects

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