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Home Compact Computers Edge AI Systems Nano

AIR-020N-S4A1 Edge AI NVIDIA Nano inference system

Edge AI NVIDIA Nano inference system

  1. Compact and performance AI box design
  2. NVIDIA Jetson Nano/ TX2 NX/ Xavier NX embedded
  3. Wide operating temperature range
  4. Multiple IO ports: LAN, DIO, COM, USB 3.1 and USB type C
  5. Additional M.2 2280 expansion storage
  6. Edge AI Suite AI Utility Support for pre-trained models and deep learning
  7. Linux BSP supported
Certifications
CE
Resources
Resources Download
DatasheetDownloadManual3D ModelExtended SpecificationsReturn Policy
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$535.00

2 years extended warranty
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Specifications
Category
Attribute
Value
Display
HDMI
1
Display
Max. Resolution
3840 x 2160 @ 60Hz
I/O
CANBus
N/A
I/O
COM Port
1 (RS232/422/485)
I/O
Digital I/O
8bit
I/O
OTG USB
1 x Micro USB (for system recovery only)
I/O
USB
2 x USB 3.2 Type A, 1 x USB 3.2 Type C
Processor
AI Performance Reference
512 GFLOPS (FP16)
Processor
CPU
Quad core ARM Cortex® A57, max. 1.43 GHz
Processor
Flash
16G eMMC
Processor
GPU
Maxwell 128 CUDA
Processor
Memory
4 GB LPDDR4
Storage
M.2
1 x M.2 2280 (M Key), 128GB built-in
Operating System
Linux
Ubuntu 18.04 LTS with JetPack 4.5.1 supported
Environment
Humidity
Operating: 40° C @ 95% relative humidity, non-condensing
Environment
Operating Temperature
-10 ~ 55 °C with 0.7 m/s air flow (non-throttling
Environment
Vibration
3 Grms @ 5 ~ 500 Hz, random, 1 hr/axis
Power
Input Voltage
12 ~ 24 VDC
Power
Power Type
AT / ATX
Ethernet
Connector
RJ45 x 1
Ethernet
Controller
NVIDIA SoM
Ethernet
Speed
10/ 100/ 1000 Mbps
Expansion
Mini PCIe
1 x Full-size mPCIe with nano SIM holder
Certifications
EMC
CE, FCC class B
Certifications
Safety
CB, UL, CCC, BSMI
Software Support
Application
Edge AI Suite compatible
Physical Characteristics
Dimensions (W x D x H)
138 x 110 x 43.6 mm
Physical Characteristics
Mounting
Wall mount
Physical Characteristics
Total Height
Physical Characteristics
Weight
0.85 kg

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