Coeus - 3701T-4
NVIDIA Jetson Orin Nano 4GB
34 TOPS
1×miniPCIe
Supports a variety of AI frameworks
1TB storage (M.2)
Support 5G, 4G, Wi-Fi
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Adopting NVIDIA Jetson Orin Nano 4GB modules, which can provide 34 TOPS of AI arithmetic power, enables the 3700 series edge AI computer to increase arithmetic power by several times compared with its predecessor without changing the volume of the original body, improving the processing efficiency of a single machine and expanding the range of application scenarios. It adopts fanless cooling and industrial wide-temperature design. It can communicate with terminals in various forms, reducing the forwarding and processing time during data transmission, significantly reducing the communication delay, and sharing the pressure of data calculation in the cloud.
CPU | 6-core Arm® Cortex-A78AE v8.2 64-bit CPU1.5MB L2 + 4MB L3 |
GPU | 512-core NVIDIA Ampere GPU with 16 Tensor Cores |
RAM | 4GB 64-bit LPDDR5 |
I/O(Front) | 2 × USB3.0 2 × RJ45 LAN 1 × HDMI 1 × PWR 1 × SYS 1 × Line Out 1 × Power Switch 2 × Antenna reservation |
I/O (Rear) | 1 × Power connector 1 × GPIO(4DI&4DO) 2 × COM(Non-full signal、1*DB9,COM1 RS-232/422/485;COM2 RS-232) 1 × OTG 1 × Recovery 1 × Ground screw hole 2 × Antenna reservation |
Expand | 1 × M.2 M-Key 2280 (supports PCIe x1 signal) 1 × M.2 B-Key 3052 (supports PCIe x1/USB3.0/USB2.0/SIM signals) 1 × miniPCIe full-size slot (supports PCIe x1/SATA/USB2.0 signals) |
Power | DC 9-30V |
Dimension | 70.4mm (W) x 137mm (D) x 176mm (H) |
Installation Method | Wall-mounted, rail-mounted |
Operating Temperature | -10 ~ 55 ℃ with air flow |
Storage Temperature | -20 ~ 80 ℃ |
Working Humidity | 40℃,95% Relative humidity, non-condensing |
Weight | - |
Cooling Method | Fanless passive cooling |
Name | Coeus-3701T-4 |
Order Number | 10JD3701T01XH |
Core | NVIDIA Jetson Orin Nano 4GB |
Storage | Pre-installed 128G M.2 SSD and system |
Order or get information, please send an email to: sales@nexgemo.cn