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AIR-075

Edge AI Inference system powered by NVIDIA® Jetson Thor™

  • Powered by NVIDIA Jetson T5000™ and Jetson T4000™, delivering up to 2070 TFLOPS FP4 inference performance.
  • 19~36V wide power and -10~40 °C wide temp. supported.
  • Multiple I/O Expansion: 2x USB-C 3.2 Gen 2, 2x USB-A 3.2 Gen 1, 1x M.2 B Key (5G/LTE), and 2x M.2 E Key (NVMe / Wi-Fi).
  • Supports 4x 10GbE with RJ45 connectors.
  • Support WEDA / SUSI / Edge AI SDK / Inference Kit.

認証:

仕様

I/O
Audio
  • Line-Out, Mic-In
COM Port
  • 2 COM (RS232/422/485)
USB
  • 2x USB 3.2 Gen1 Type C (USB 5 Gbps)
CANBus
  • 2x DB9
Others
TPM
  • TPM 2.0
Storage
M.2
  • M.2 B key (type 2242 & 2280)
Mechanical
Mounting
  • Wall mounting kit
Weight
  • 2.89Kg
Operating System
Linux
  • Ubuntu 24.04.2
Ubuntu
  • Ubuntu 24.04 LTS with NVIDIA Jetpack™ 7.1
Certifications
Safety
  • CB, UL, CCC, BSMI
EMC
  • CE, FCC class B
Environment
Relative Humidity
  • 40 °C @ 95%, Non-Condensing
Operating Temperature
  • -15 ~ 40°C (non-POE) / -15 ~ 35°C (POE) with 0.7 m/s airflow (TDP 130W)
Vibration
  • 3 Grms @ 5 ~ 500 Hz, random, 1 hr/axis
Power
Power Type
  • AT / ATX
Display
HDMI
  • 1x HDMI 2.1, Max 3840 x 2160 (4K) at 60 Hz
DP
  • 1x DP 1.4a, Max 3840 x 2160 (4K) at 60 Hz
Ethernet
Interface
  • RJ-45 optional PoE support (IEEE 802.3 af)
Speed
  • 4x 10GbE Ethernet (10M/100M/1G/2.5G/10Gbps)
Expansion
M.2 E-Key
  • 1 x M.2 2230 ( PCIe x1/USB2.0) for WIFI/BT
M.2
  • 1 x M.2 3052 B Key (USB3.2 x1; USB2.0) for 5G
Processor
AI Performance Reference
  • 2070 TFLOPS (FP4—Sparse)
Memory
  • 128GB 256-bit LPDDR5X , 273 GB/s
Software Support
Software API
  • API WEDA / SUSI / Edge AI SDK / Inference Kit compatible