Based on Bitmain’s third generation BM1684 cloud AI chip, it’s a high-density, high-performance AI server with great deep learning ability.
Based on the third generation BM1684 chip, much more mature and stable
A single SA5 supports 384~768 channels of video structuring or about 12000 face detection analysis per second
SA5 is based on an energy-efficient AI dedicated chip, using a low-power master processor to reduce overall power consumption
The single SA5 has Main Processor Unit(MPU),AI Unit(AIU),SATA Storage Unit(SSU), 24 BM1684 chips built in
Multiple server clusters can be deployed, and these servers can be connected through Ethernet to enable users to uniformly manage the server, which can be deployed in the cloud
The city brain includes "AI Center" and "Big Data Center", which provides data, algorithm and hash power for the construction of " City Cerebellum" in various industries, and realizes the auxiliary decision-making, artificial intelligence and data visualization of the entire city brain.
The AI analysis platform of video big data will become the focus of safe city construction. The establishment of information chain with face and vehicle information is the core, and video structured server with high performance, high reliability and low power consumption is the key to realize massive video analysis.
It uses AI vision technologies such as face and image recognition to realize core management functions, including personnel access, security control, vehicle control, intelligent consumption and intelligent decision-making, and greatly improves the management efficiency of the park with intelligent solutions.
BMNNSDK (BITMAIN Neural Network SDK) one-stop toolkit provides a series of software tools such as the underlying driver environment, compiler, inference deployment tool and so on. Easy to use and convenient, covering the model optimization, efficient runtime support and other capabilities required for the neural network inference stage, providing easy-to-use and efficient full-stack solutions for deep learning application development and deployment. BMNNSDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various AI hardware products of Fortune Group to facilitate intelligent applications.
Video structuring ability
384~768 channels 1080P
Image analysis ability
12000 images per second
Number of intelligent units
Support up to 3
Number of BM1684
Support up to 24
AI computing memory(Total)
Main Processor Unit(MPU)
2*10Gb Fiber, 2*GbE
2*USB3.0, 1*VGA, RS232
Optional Storage Unit(SSU)
Number of hard disk
2*3.5" HDs(Only support two pieces of AI units when insert SSU)
Size of server case (Depth*Width*Height/mm)
438* 619*88.1 (Without handle)
AC 220V, Redundant power supply, HotPlugIn, 2*1200W
Typical power consumption