SOPHON Intelligence Server SA3

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.

Consultancy

Energy-saving and Efficient Video Customization

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

High Performance

A single device supports up to about 90 channels of video structure and about 600 images of facial analysis per second

High Energy Efficiency Ratio

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 Computing Density

High-density integration and close deployment. A single server is equipped with 18 BM1682 chips to reduce TCO

High Scalability

Multiple servers can be deployed in clusters and connected through Ethernet. Unified management and cloud deployment are available.

Wide Applications and Scenarios

Integrate multiple intelligent algorithms to support edge computing such as face recognition, vehicle recognition, object recognition, video structurization and behavior analysis.

Easy-to-use, Convenient and Efficient

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.

Support mainstream programming framework

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Performance Parameter

SA3-11
SA3-23

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)