Micro Server SE7 32-EA4-23

SOPHGO micro server SE7 32-EA4 equipped with the 4th generation deep learning SoC BM1684X, boasts high performance, low power consumption, and excellent environmental adaptability. By pairing it with diverse algorithms, it enables applications such as video structuring, face recognition, behavior analysis, and status monitoring. It also realizes empowerment at the edge side in various fields such as smart cities, intelligent transportation, smart energy, financial technology, telecommunication, and smart industry

Powerful Computing Capacity

Supports FP32/FP16/BF16/INT8

Ultra-High Performance

Supports up to 32 channels of 1080P HD video full-process handling, and supports 32 channels of full HD video hardware decoding and 12 channels of encoding.

Fast Porting

Supports mainstream deep learning frameworks such as Caffe/ TensorFlow/ PyTorch/ MXNet/ PaddlePaddle/ ONNX/ Darknet.

Active Cooling

Supports active fan cooling and wide operating temperature range from -20℃ to +60℃.

Rich Algorithms

Supports a variety of algorithm porting, such as human/vehicle/non-object recognition, video structuring, trajectory behavior analysis.

Diverse Scenarios

Supports flexible deployment in multiple domains and scenarios such as smart parks, security, industrial control, and commerce.

Abundant Interfaces

Supports multiple interfaces such as USB, HDMI, RS-485, RS-232, SATA. and etc.

Flexible Deployment

Optional Add-on: 4G(Mini PCIe)/5G(M.2)/SSD(M.2,SATA 3.0,2242)

Application scenario

Intelligent security

Smart Transportation

Smart Park

Smart Retail

Intelligent security

Video stream and image stream recognition, video structure analysis, trajectory analysis, etc.

Smart Transportation

Checkpoint, automatic vechicle identification, law enforcement assistance, smart parking

Smart Park

Face recognition security checking, staff attendance management, smart alart system

Smart Retail

Goods recognition, smart stores application, face recongnization payment

Easy-to-use, Convenient and Efficient

SOPHON SDK one-stop toolkit provides a series of software tools including the underlying driver environment, compiler and inference deployment tool. The easy-to-use and convenient toolkit covers the model optimization, efficient runtime support and other capabilities required for neural network inference. It provides easy-to-use and efficient full-stack solutions for the development and deployment of deep learning applications. SOPHON SDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various deep learning hardware products of SOPHGO to facilitate intelligent applications.

Support mainstream programming framework






Main Controller

8-core A53@2.3GHz

Deep learning Performance

Supports FP32/FP16/BF16/INT8, capable of simultaneously processing 32 channels of high-definition video

Video / Picture codec

Video decoding capability

800fps 1080p (32 channels 1080P @ 25FPS)

Video encoding capability

300fps 1080p (12 channels 1080P @ 25FPS)

Picture codec capability

600 PCS / s 1080p

Memory and storage





External interface

Ethernet interface

10/100 / 1000Mbps adaptive * 2


USB3.0 *2、USB2.0 *2


MicroSD *1





Serial port

RS-232 *1 / RS-485 *1


Length * width * height


Power supply and power consumption

Power supply

DC 12V

Typicalpower consumption


Temperature and humidity

Working temperature

-20 ℃ ~ + 60 ℃


10% ~ 90%RH, no condensation

Other functions


SATA HDD (internal, 2242 SSD is expendable)

4G/5G (new backplane and more antennas are needed)