MIC-742-AT
MIC-742-AT
Advantech
AI Inference System Accelerated by NVIDIA® Jetson Thor™ Module
AI Inference System Accelerated by NVIDIA® Jetson Thor™ Module.
Key Features:
- Accelerated by NVIDIA Jetson T5000™, delivering up to 2070 TFLOPS FP4 inference performance
- Dedicated I/Os for Robotics: 6xGbE,4xUSB, 2xCOM, DIO, CANFD
- Supports QSFP28 1x 25GbE
- Sensor connection for camera, LiDAR, IMU...etc.
- Supports NVIDIA JetPack™ 7.0
- IEC 61000-6-4 Heavy Industry Certificate
- Supports Advantech Robotic Suite
Contact us for Lead Time
Click below to request a quote for this item. Or for product advice, stock and lead time enquiries call our team on 0330 313 3220.
| Attribute | Value |
|---|---|
| CPU |
14 core Arm® Neoverse V3AE (64-bit) SMP CPU architecture |
| GPU | 2560 NVIDIA® CUDA® cores 96 5th Gen Tensor cores MAXN: 1.57 GHz |
| NVIDIA® CPU/GPU | NVIDIA® Jetson Thor™ |
| Memory | 128GB LPDDR5X |
| USB | 4 x USB 3.2 Gen 2 |
| OTG USB | 1 x Micro USB |
| SIM | 1 x Nano SIM on side of board |
| TPM (Optional) | 1 x TPM (onboard) |
| GMSL (Optional) | 4 x MIPI 4 lanes (Support 8-ch GMSL2.0 with mini FAKRA connectors) |
| Display | HDMI (Max. resolution 3840x2160 @ 60Hz) |
| Power Type | Terminal Block 2 Pin |
| Power Supply Voltage | 19-36V |
| M.2 B-Key | 1 x 3052/3042 B-key (Signal: USB3.0 + USB2.0) |
| SATA | 2 x SATA connector |
| M.2 E-Key | 1 x 2230 E-key (Signal: PCIex1 + USB2.0) |
| I2C | 1 x I2C |
| Console | 1 x microUSB console for debug (UART to USB) |
| Audio | 1 x audio speaker out, MIC in on board |
| CANBus | 4 x CAN FD |
| QSFP28 | 4 x 25GbE |
| RJ45 | 1 x 10/100/1000/2500/5000 Mbps Ethernet |
| M.2 M-Key |
1 x 2280 M-key NVMe (PCIex4) |
| Attribute | Value |
|---|---|
| Data Sheet | Click here to view |
