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The high-performance class AI platform based on the NVIDIA Jetson Thor
Up to ~2070 TFLOPS (FP4) for autonomous systems and robotics
Support for more video and sensor streams (GMSL2)
QSFP28 + advanced industrial communications
Extensive I/O: CAN, I2C, LTE, WiFi, USB
System for sensor fusion, edge AI and real-time applications
Free shipping from €300
Promocja cenowa na model HDR-15-5
Product intended for professional use onlyMIC-743-AT is designed as a platform for building systems that not only analyse data, but also react to changing conditions in real time. Unlike classic industrial computers, its architecture focuses on perception, sensor integration and local decision-making.
Through the use of Jetson Thor, simultaneous processing of image, sensor data and control logic is possible, which is crucial in robotics, autonomous systems and advanced video analysis.
One of the key elements of the platform is the ability to handle multiple data sources simultaneously. The MIC-743-AT supports extended vision systems and integration with different types of sensors, enabling the construction of advanced sensor fusion systems.
In edge AI systems, communication is as important as computing power. The MIC-743-AT offers a wide set of interfaces to enable integration with industrial infrastructure, vehicles and distributed systems.
Thanks to its architecture, the MIC-743-AT is used wherever real-time data processing and integration of multiple information sources is required.
MIC-743-AT is not just another embedded computer - it is a platform designed to work in dynamic environments where not only data analysis, but also the ability to respond immediately, matters.
With its combination of high performance, extensive communication capabilities and multi-sensor support, it provides a solid foundation for modern AI systems operating out of data centres.
| Process | |
|---|---|
| Model | NVIDIA Jetson T5000 |
| CPU | 14 core Arm Neoverse V3AE (64-bit) SMP CPU architecture |
| L1 / L2 / L3 Cache | L1 (I, D) per core: 64KB + 64KB, L2 1MB, L3 16MB |
| GPU | 2560 NVIDIA CUDA cores, 96 5th Gen Tensor cores, MAXN: 1.57 GHz |
| Pamięć | 128GB LPDDR5X |
| Ethernet | |
| RJ45 | 1 x 10/100/1000/2500/5000 Mbps Ethernet |
| QSFP28 | 4 x 25GbE |
| I/O | |
| Display | HDMI (Max. resolution 3840x2160 @ 60Hz) |
| USB | 4 x USB 3.2 Gen 2 |
| OTG USB | 1 x Micro USB |
| Console | 1 x microUSB console for debug (UART to USB) |
| Audio | 1 x audio speaker out, MIC in on board |
| SIM card | 1 x Nano SIM on side of board |
| Expansion | |
| M.2 E-key | 1 x 2230 E-key (Signal: PCIe x1 + USB 2.0) |
| M.2 B-key | 1 x 3052/3042 B-key (Signal: USB 3.0 + USB 2.0) |
| TPM | 1 x TPM (onboard) |
| Storage | |
| M.2 M-key | 1 x 2280 M-key NVMe (PCIe x4) |
| Pre-installed SSD | 1TB SSD |
| Power | |
| Power Supply | Power input: 19–36V |
| Power Type | Terminal Block 2 Pin |
| Internal pin header | 3 x SMART FAN |
| Environment | |
| Operational Temperature | -10 °C ~ 35 °C with 0.7 m/s air flow |
| Operating Humidity | 95% @ 40 °C (non-condensing) |
| Vibration | 3 Grms @ 5 ~ 500 Hz, random, 1 hr/axis |
| Mechanical | |
| Dimensions (W x D x H) | 195 x 200 x 71.5 mm with rubber foot |
| Weight | 2 kg |
| Installation | Desktop |
| System | |
| Operating System | NVIDIA Jetpack 7.0 |
| Certifications | CE/FCC/CCC/KC/KCC/BSMI/UL (No RED certification) |
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