Advantech MIC-720AI
AI Inference System based on NVIDIA® Jetson™ Tegra X2 256 CUDA Cores
- Fanless and compact design
- Supports NVIDIA Jetson® Tegra X2
- 2 USB 3.0 ports and 1 internal USB 2.0
- 1 IEEE 802.3af POE port
- Linux OS with BSP (board support package)
- Supports deep learning trained models
- Wide operating temperature
MIC-720AI is the ARM based system which integrated NVIDIA® Jetson™ Tegra X2 System-on-Module processor, providing 256 CUDA® cores on the NVIDIA® Pascal™architecture. It is designed for the edge applications support rich I/O with low power consumption. The system has 4GB LPDDR4 memory, 4K video decode/encode, 2 USB3.0,POE and mSATA expansion. With wall mount brackets and fanless design which can help you easily install in rugged environment. This small embedded system is an ideal system for AI inference edge and deep learning applications.
Specifications
- Processor System
- CPU
nVIDIA TX2 Dual Core nVidia Denver2.0 + Quad Core ARM Cortex A57
Memory
8GB LPDDR4
Flash
32G of eMMC
Ethernet
- Interface
RJ-45
Controller
Intel® i210IT
Speed
1 x Gigabit Ethernet (10/100/1000 Mbps)
I/O
- Display
HDMI (Max. resolution 3840x2160 @ 60Hz)
USB
2 x USB 3.0
1 x USB 2.0 (Internal)
DI/DO
8 bit
Button
1 x Power on/off switch
OTG USB
1 x Micro USB
Mode I: Enable OTG
Mode II: Enable Internal USB
Expansion
- Storage
1 x mSATA slot
Camera Interface PoE
- Controller
MICROSEMI_PD69101ILQ-TR
Compliant
IEEE 802.3af
Power Output
15.4W
Power
- Power Supply Voltage
19-24V (3A~2A)
Power Type
DC Jack
Environment
- Operational Temperature
-10 ~ 60 °C with 0.7 m/s air flow (Max-P ARM mode)
Operating Humidity
95% @ 40 °C (non-condensing)
Vibration
3 Grms @ 5 ~ 500 Hz, random, 1 hr/axis
Mechanical
- Dimensions (W x D x H)
147 x 118 x 52 mm (5.7" x 4.6" x 2.4")
Weight
1.2 kg
Installation
Desktop/wall mount
Operating System
- Linux
Ubuntu 16.04 with JetPack 3.3
Certifications
- CE/FCC
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