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Aert Medical
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The SOM3576-F is a high-performance AI computing module designed for edge applications. Powered by an 8-core ARM CPU and a 6.0TOPS NPU, it supports Android 14 and multiple AI frameworks.
| Model NO. | SOM3576-F |
| CPU | Rockchip RK3576, Octa-Core (4xA72 + 4xA53) up to 2.3GHz |
| NPU | 6.0 TOPS, supports INT4/INT8/INT16/FP16 |
| GPU | ARM Mali-G52 MC3 |
| RAM | LPDDR4/LPDDR5, up to 16GB |
| Storage | eMMC 5.1, 64GB/128GB |
| OS Support | Android 14, Linux (Ubuntu/Debian) |
| Display Output | HDMI 2.1, eDP, MIPI-DSI, DP 1.4 (up to 4K@120Hz) |
| Connectivity | Wi-Fi 6, Bluetooth 5.2, Dual Gigabit Ethernet |
| Operating Temp | -20°C to 60°C |
Powered by RK3576 with 8-Core CPU (4xA72 + 4xA53) providing robust computing power for demanding applications.
Built-in 6.0 TOPS NPU, supporting INT4/8/16, FP16, Bfloat16, and TF32 AI models for edge intelligence.
Supports 4K@120Hz HDMI 2.1, DisplayPort 1.4, and eDP for ultra-high-definition display solutions.
| Display Interfaces | 1 x HDMI2.1/eDP1.3 Combo TX 1 x MIPI-DSI-2 TX (2560x1600@60Hz) 1 x DisplayPort 1.4 (4K60) 1 x E-ink EPD Support |
| Camera Interfaces | Dual MIPI CSI-2 with C/D-PHY 1 x DVP 8/10/12/16-bit ISP with HDR |
| External I/O | USB 3.1 OTG x 1, USB 3.0 x 1, USB 2.0 x n PCIe 2.1 / SATA 3.0 combo ports CAN FD x 2, UART, I2C, SPI, PWM, ADC |
| Framework Support | TensorFlow, Caffe, Tflite, Pytorch, Onnx, Android NN |
Operating from a modern production facility equipped with advanced SMT lines, assembly lines, and rigorous quality control labs. We provide one-stop OEM/ODM services including: