Advantech MIC-710A1 AI Inference System

Advantech MIC-710A1 AI Inference System is a compact, fanless computer based on the NVIDIA® Jetson Nano™ Module. The MIC-710A1 features a quad-core Arm® Cortex®-A57 processor, a Maxwell GPU with 128 NVIDIA CUDA® cores, 4GB LPDDR4, and 16GB Flash. The MIC-710A1 is optimized for use in Edge AI applications, with dual Gigabit Ethernet LAN ports, HDMI video for display, an internal USB 2.0 and external USB 2.0 and USB 3.0 ports, and an 8-bit DI/DO port for signal control. Storage is provided by an SD card slot, mini-PCIe, and M.2 SATA.

The Advantech UNO-2272G features a compact, rugged 157mm x 88mm x 50mm aluminum enclosure and is stand, wall, VESA, and DIN-rail mountable.

Features

Fanless and compact design
Embedded NVIDIA Jetson NANO Module
Linux OS with Board Support Package (BSP)

Supports deep learning trained models
2x LAN ports
Wide operating temperature range

Applications

AI and Edge computing

Specifications

System hardware
- CPU: 1.43GHz Quad-Core Arm Cortex A57
- GPU: 921MHz Maxwell GPU, 128 CUDA core; Performance up to 512 GFLOPS (FP16)
- Memory: 4GB LPDDR4
- Flash: 16G of eMMC
I/O interfaces
- Display: HDMI (Up to 3840 x 2160 @ 60Hz)
- USB
  - Internal: 1x USB2.0
  - External
    - 1x USB2.0
    - 1x USB3.0
- OTG USB (Internal): 1x Micro USB
- DI/DO: 4-bit in, 4-bit out
- COM: 1x RS-232/RS-422/RS-485
Ethernet
- Interface: RJ-45
- Controller: Intel® i211
- Speed: 2x Gigabit Ethernet (10/100/1000 Mbps)

Storage
- 1x MiniPCIe (iDoor)
- M.2 SATA
- Micro SD
Operating system
- Linux: Ubuntu 18.04 with JetPack
Environment
- Operating temperature: -10°C to +60°C
- Relative Humidity: 95% RH @ 40°C, non-condensing
General
- Certification: CE, FCC, BSMI, CCC (No RED certification)
- Dimensions: 147mm x 118mm x 52mm
- Mounting: Desktop, DIN-rail
- Weight: 1.2kg
- Power requirement: 24V_DC