Edge AI & Vision Learning

TERA - AI (M12)

Compact Fanless AI Box:
NVIDIA Jetson CPU Board + LJT001

Features

  • NVIDIA Jetson Nano: ARM® Cortex®-A57 MPCore (Quad Core)
  • NVIDIA Jetson TX2 NX: Denver 2 (Dual Core) /
    ARM A57 Complex (Quad Core)
  • Memory: LPDDR4, 4GB ; 1 x HDMI, 2 x GbE
  • 1 x M.2 B key 4 x USB 2.0 ; 1 x USB 2.0 (Micro OTG)
  • 1 x Micro SD, 1 x Nano SIM ; 1 x RS232

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MODEL TERA-AI (M12)
Motherboard NVIDIA Jetson CPU Board + LJT001
Dimension(WxDxH) 145W x 102.4D x 56.5H mm
Weight(Incl.M/B) 0.9 kg
Mounting Wall Mount*
CPU NVIDIA Jetson Nano: ARM® Cortex®-A57 MPCore (Quad Core)
NVIDIA Jetson TX2 NX: Denver 2 (Dual Core) /
ARM A57 Complex (Quad Core)
Chipset NVIDIA Jetson Nano: NVIDIA Maxwell GPU
NVIDIA Jetson TX2 NX: NVIDIA Pascal GPU 
Memory LPDDR4, 4GB 
Storage 16GB eMMC 5.1 ; 1 x Micro SD
M.2 1 x M.2 B key 3042 (PCIe / USB 3.0 / 2.0)
I/O portsNetwork 2 x GbE
USB 2 x USB 2.0 (external) ; 2 x USB 2.0 (M12)
1 x USB 2.0 (Micro OTG)
Serial ports 1 x RS232 (M12)
Display 1 x HDMI
SIM Card 1 x Nano SIM
Optional Modules
& Accessory
M.2 Module: 4G, 5G, PCIe
Wall Mount Kit
Power DC input : +12~24V
Operating Temp.
(100 % CPU usage)
-20°C to +60°C
Storage Temp. -20°C to +70°C 
Relative Humidity 95% @ 40°C, non-condensing