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Based on the self-developed AI SOC chip, the intelligent server is customized for intelligent analysis. With the characteristics of high performance and low power consumption, it can provide a wider range of intelligent applications for security, video and other industries.
SOPHON SA3 intelligent server can be equipped with third-party algorithms to run video structurization, face detection and recognition, vehicle detection and recognition and video intelligence analysis. SA3 intelligent server has the characteristics of high performance, high computing density and low power consumption. It is equipped with easy-to-use system software and toolchain to help customers to carry out rapid and convenient secondary development.
Video Structurization
Face Detection and Recognition
Vehicle Detection and Identification
A single device supports up to about 90 channels of video structure and about 600 images of facial analysis per second
Based on the AI chip with high energy efficiency ratio, the server has a main control processor with low power consumption, which can reduce the power consumption of the whole machine
High-density integration and close deployment. A single server is equipped with 18 BM1682 chips to reduce TCO
Multiple servers can be deployed in clusters and connected through Ethernet. Unified management and cloud deployment are available.
Integrate multiple intelligent algorithms to support edge computing such as face recognition, vehicle recognition, object recognition, video structurization and behavior analysis.
BMNNSDK (BITMAIN Neural Network 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. BMNNSDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various AI hardware products of SOPHGO to facilitate intelligent applications.
Video structuring ability
About 30 channels 1080P
About 90 channels 1080P
Face image analysis ability
About 300 images per second
About 800 images per second
Floating point performance
18T Flops
54T Flops
Master processor
Quad-core processor
Quad-core processor
Number of intelligent units
1
3
Number of BM1682
6
18
AI computing memory
48GB DDR
144GB DDR
OS
Redhat / CentOS / Ubuntu
Redhat / CentOS / Ubuntu
Maximum power consumption
600W
1600W
System storage
96GB
288GB
Network Interface
3*GbE
3*GbE
Peripheral
1*USB 2.0, 1*RS232, 1*LCD
1*USB 2.0, 1*RS232, 1*LCD
Power supply
AC 220V, 1+1 Redundant power supply, HotPlugIn
AC 220V, 1+1 Redundant power supply, HotPlugIn
Cooling Method
Air cooling, adjustable fan speed
Air cooling, adjustable fan speed
Chassis Specifications
19-inch 1U standard case
19-inch 2U standard case
Size of server case (Depth*Width*Height/mm)
436.4*610*43.6 (Without handle)
436.4*610*86.1 (Without handle)