DLAP-201-JT2 - nVIDIA Jetson TX2 AI Edge Inference Platform

DLAP-201-JT2 - nVIDIA® Jetson™ TX2 / TX1 based AI Edge Inference Platform from ADLINK. Compact fanless system with 148x105x50 for deep learning acceleration with NVIDIA® Jetson™ TX2. Wide temperature range from -20°C to 70°C.

The nVIDIA Jetson TX2 CPU module represents an embedded SoM with dual-core NVIDIA Denver2 + quad-core ARM Cortex-A57, 8GB 128-bit LPDDR4 and integrated 256-core Pascal GPU. Developed for deploying computer vision and deep learning, Jetson TX2 runs with Linux and provides more than 1TFLOPS of FP16 compute performance in less than 7.5 watts of power.

Key Features

• Deep learning acceleration with NVIDIA® Jetson™ TX2
• Compatible with NVIDIA® Jetson™ TX1
• Compact fanless system 148(W)x105(D)x50(H)mm
• Wide temperature range from -20°C to 70°C

Specifications DLAP-201-JT2

• System Core Processor
  NVIDIA® Jetson™ TX2/ TX1
• Memory
  8GB/ 4GB
• eMMC
  16GB
• Graphic Output
  1 HDMI 2.0 (w. lock)
• Front Panel I/O Interface
  Ethernet: 2x GbE
  USB 3.0: 3x Type A
  Audio: Mic-in, line-out (Optional)
• Rear Panel I/O Interface
  USB 2.0: 1x OTG
  Serial Port: 1x COM
  CAN Bus: 1 CAN bus (2.0b)
• Internal I/O Interface
  Mini PCIe: 1x PCIe mini-card slot
  USIM: 1x USIM slot
  Wi-Fi/BT: Wi-Fi IEEE 802.11ac / Bluetooth 4.0 (24Mbls) via TX2
  DIO: 4 channel DIO Debug Port 1x debug console
• Storage Device
  SATA Extension: mSATA
  SD Card: 1x SD
• Power Requirements
  DC Input: 12VAC Input
  Optional 40 W AC-DC adapter
  Fail Reset: Reset/recovery button
  Power LED Indicator: Power button
• CMOS Battery
  Holder: BR2032
  Protection: Reverse charge protection
• Mechanical
  Antenna Hole: 4 x SMA
  Dimensions: 148(W)x105(D)x50(H)mm
  Weight: TBD
  IP Grade: IP40
  Mounting: Wall mount & VESA & din rail
• Environmental:
  Operating Temperature: Standard -20°C~70°C
  Operating Humidity: ~95% @40C (non-condensing)
  Storage Temperature-40°C~85°C