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
|Performance||Peak performance||3*24T Flops@FP32；17.6*24TOPS@int8|
|Video structuring ability||384~768 channels 1080P|
|Image analysis ability||12000 images per second|
|AI Unit(AIU)||Number of intelligent units||Support up to 3|
|Number of BM1684||Support up to 24|
|AI computing memory(Total)||288GB|
|Main Processor Unit(MPU)||Master processor||8 cores|
|Network Interface||2*10Gb Fiber, 2*GbE|
|Peripheral Interface||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)|
|Chassis Specifications||Chassis||19-inch 2U|
|Size of server case (Depth*Width*Height/mm)||438* 619*88.1 (Without handle)|
|Power supply||AC 220V, Redundant power supply, HotPlugIn, 2*1200W|
|Typical power consumption||<700w|
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.