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SOPHON Deep learning micro server SE8 is a new generation of edge computing product with high-performance, low-power consumption and small size. Equipped with the fourth-generation tensor processor BM1684X launched by SOPHGO, SE8 supports mixed-precision inference, while computing power is up to 416 TOPS @ INT8 and 208 TFLOPS @ FP16/BF16. Compared with SE6, SE8 doubles the computing power and density, improving the encoding capacity by nearly 5 times as well. It can process up to 416 channels of HD video 深度学习 intelligent analysis at the same time, widely used in large concurrent application scenarios.
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
Product Model
SE8 416-BA2-61
Deep learning Capacity
Supports FP32/FP16/BF16/INT8, capable of handling up to 416 channels of high-definition video intelligent analysis
Video Decoding
H.264 & H.265: 1080P @10400fps
Video Decoding Resolution
8K / 4K / 1080P / 720P / D1 / CIF
Video/JPEG Codec
Video Encoding
H.264 & H.265: 1080P @3900fps
Video Encoding Resolution
4K / 1080P / 720P / D1 / CIF
JPEG Decoding
JPEG: 7800 pages/second @1080P
Device Memory
192GB LPDDR4X
Deep learning Co-processor
ARM A53 96-core @2.3GHz
Dimension&Weight
148mm(W)*140mm(H)*300mm(D),5.6kg(weight)
Host Processor
ARM A53 8核 @2.3GHz
Host Memory
16GB LPDDR4X
Storage
832GB
Interface
3x 10/100/1000Mbps，Expandable 1 x 2.5-inch SATA hard drive，1x UART(USB Type C) ，1x Micro SD，1x HDMI，2x USB3.0
Power Supply
1 x 500W gold power supply, 100-240V～, 7-3.5A, 60-50Hz
Working Temperature
0°C ~ 40°C
Operation System
Ubuntu/Kylin
Deep Learning Framework
TensorFlow / PyTorch / Paddle / Caffe / ONNX / MXNet / DarkNet