SOPHON AI micro server SE8 192-EA6-71 is a new edge computing product with high-performance, low-power consumption and small size. Equipped with the fourth-generation tensor processor BM1684X launched by SOPHGO, SE8 192-EA6-71 supports mixed-precision inference, while computing power is up to 192 TOPS @ INT8 and 96 TFLOPS @ FP16/BF16. With 8-core/16-thread X86 CPU@2.8GHz as the host processor and local storage expansion supported, it is widely used in high concurrency scenarios such as public security, transportation, industrial parks, producing and warehousing, empowering thousands of industries with AI capabilities.
Automatic monitoring of violations and abnormal events such as smoke and fire, material stacking, blockage of fire escapes, lack of safety signs in hazardous chemical warehouses, video obscuring, vehicle intrusion, item movement, personnel sleeping, smoking, dress code violations, intrusion in restricted areas, etc.
Full target Video Structuring including human, vehicle and face-recognition, behavior analysis, target capture, traffic event analysis. Widely used in counter-terrorism, anti-drug, security management, police case handling, intelligence command etc.
City appearance, street order, municipal facilities, social events, outdoor advertising, urban firefighting, natural disaster-related monitor, alarm and closed-loop event disposal control
Supervision of production safety in hazardous chemical enterprises, oil and gas sites, three-small sites, and construction sites
H.264 & H.265: 4800fps @1080P
Video Decoding Resolution
8K / 4K / 1080P / 720P / D1 / CIF
H.264 & H.265: 1800fps @ 1080P
Video Encoding Resolution
4K / 1080P / 720P / D1 / CIF
Max. 192 channels (1080P to CIF)
JPEG: 3600张/秒 @1080P
ARM A53 48-core @2.3GHz
X86 CPU 2.8GHz 8-core/16-thread L3 16MB
2 x UDIMM DDR4-2666Mhz，2 x 32GB
1 x M.2 2280 NVME 1TB ，384GB EMMC
3 x 10/100/1000Mbps（1 x BMC），Expandable 4 x 2.5-inch SATA hard drive，1 x RJ45 console，1 x HDMI 1.4a，4 x USB3.0
1 x 500W gold power supply, 100-240V～, 7-3.5A, 60-50Hz
0°C ~ 40°C
Deep Learning Framework
TensorFlow / PyTorch / Paddle / Caffe / ONNX / MXNet / Tengine / DarkNet