8gb 128 Bits Ascend Atlas 200 Ai Module Ubuntu Deep Learning Carrier Board Edge Computing

The Hua Wei Ascend Atlas 200 AI accelerator module has eight Cortex-A55 cores and provides common peripheral ports such as I2C, USB, SPI, and RGMII. It can be used as an embedded system CPU.You can burn the OS to the embedded multimedia controller (eMMC) flash or an SD card. After simple configuration, the ARM CPU in the Atlas 200 AI accelerator module can run users' AI service software.Generally, in this application mode, the Atlas 200 AI accelerator module is connected to simple external devices such as IP cameras (IPCs), I2C sensors, and Serial Peripheral Interface (SPI) displays.The coprocessor application mode and main processor application mode of the Atlas 200 AI accelerator module are similar. The ARM processor of the Hua Wei Ascend Atlas 200 AI accelerator module can still run users' AI service software. The difference is that when the Atlas 200 AI accelerator module is used as a coprocessor, the system has a main processor. The main processor controls operations on the Atlas 200 AI accelerator module, such as peripheral access, power-on, hibernation, and wakeup. The external interfaces required by users' AI service software are also transferred by the main processor.The main processor can control the Hua Wei Ascend Atlas 200 AI accelerator module to enter the deep sleep state through the GPIO pins. When necessary, the Hua Wei Ascend Atlas 200 AI accelerator module can quickly wake up to process AI services. This mechanism reduces the power consumption.