Advantech MIC-730AI
AI Inference System based on NVIDIA Jetson® Xavier




- NVIDIA Jetson? Xavier embedded
- Fanless compact design
- Support 1 x MiniPCIe & 1 x M.2 (PCIex4 NVMe)
- Bundles with Linux Ubuntu 18.04
- Low power consumption
- Support 1 x PCIex8 + 1 x PCIex4 expansion (Optional by iModule MIC-75M20)
Edge AI Inference Computers embedded with NVIDIA Jetson for video image application in surveillance, transportation, and manufacturing sectors
AI Inference System based on NVIDIA Jetson® Xavier

Specifications
- Processor System
- GPU
NVIDIA Volta? architecture with 512 NVIDIA CUDA cores and 64 Tensor cores
11 TFLOPS (FP16)
22 TOPS (INT8)
CPU
8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
DLA
5 TFLOPS (FP16)
10 TOPS (INT8)
Memory
16 GB 256-bit LPDDR4x 2133MHz - 137GB/s
Storage
32GB eMMC 5.1
Ethernet
- Interface
RJ45 x 2
Controller
LAN1: Intel i210
LAN2: Marvell 88E1512
Speed
10/100/1000 Mbps
I/O
- Display
HDMI (Max. resolution 3840x2160 @ 60Hz)
USB
Internal: 1 x USB2.0
External: 2 x USB2.0, 2 x USB3.0
DI/DO
16 bit (8In/8Out)
Power Switch
Power ON/OFF Button x 1 (AT/ATX , Default : AT)
OTG USB
MicroUSB x 1 (Internal)
COM
2 x RS-232/RS-422/RS-485
Expansion
- PCIe
1 x PCIex8 + 1 x PCIex4 (optional by iModule MIC-75M20-00B1)
MiniPCIe
1
Storage
- Storage
2.5" HDD/SSD (Max. 9.5mm) x 1 (Internal)
1 x M.2 (NVMe 2280)
SIM Card
NANO SIM x 1
Power
- Type
AT/ATX
Power supply Voltage
9-36V
Environment
- Operational Temperature
-10 ~ +60 °C with 0.7 m/s air flowOperating
Humidity
95% @ 40 °C (non-condensing)
Vibration
0.5Grms @ 5 ~ 500 Hz, random, 1 hr/axis (With HDD)
Mechanical
- Dimensions (W x D x H)
Core Module: 192 x 230 x 87 (mm)
With iModule: 192 x 230 x 137 (mm)
Weight
4.5 kg
Installation
Desktop / Wall mount
Operating System
- Linux
Ubuntu 18.04
Certifications
- CE/FCC/BSMI/CCC
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