SOPHON Intelligent Computing Server SG6-06-A22

Datacenter

SOPHON Intelligent Computing Server

SOPHON SG6-06-A22 intelligent computing server can be equipped with 18 SOPHON third-generation TPU processor BM1684 and its INT8 performance up to 316.8TOPS. It supports 17280fps 1080P HD video hardware decoding and 900fps 1080P HD video hardware encoding. FOR PRICE INQUIRY CONTACT US

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Empowering Performance

Deep Learning Framework Flexibility

Strong Computing Power

Support up to 316.8TOPS of INT8 computing power or 39.6TFLOPS of FP32 computing power

Ultra High Performance

576 channels of full HD video decoding
36 channels of full HD video hardware encoding
Video and picture decoding resolution up to 8K or more

Rapid Transplantation

Support Caffe/TensorFlow/PyTorch/ MXNet/Paddle Lite and other mainstream deep learning frameworks

Adaptive Expansion

Extensive PCIe Expansion

Flexible Extension

Supports 12*3.5”/2.5” front and 2*2.5” rear hot-swappable hard drive slots
8*PCIE3.0 extendible slots 24*DDR4 memory slot, supporting the maximum capacity of 3TB

High Compatibility

Intel dual-socket scalable Xeon processor platform
Supports RESTful/IPMI management interface

Wide Application and Scenarios

Intelligent Algorithm Adaptation

Adapt to multiple intelligent algorithms and support intelligent analysis applications such as face recognition, vehicle recognition, item recognition, video structuring and behavior analysis.

Easy-to-use, Convenient and Efficient

SOPHON 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. SOPHON SDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various deep learning hardware products of SOPHGO to facilitate intelligent applications.

Support mainstream programming framework

Deep Learning

Performance

Aspect	Details
Data Types	FP32/INT8
Video/Picture Analysis	288 HD video channels
Video Encoding	H.264: 1080P @17280fps H.265: 1080P @17280fps
Encoding Resolutions	8192 * 8192 / 8K / 4K / 1080P / 720P / D1 / CIF
Picture Decoding	8640 JPEG/sec @1080P
Max Picture Resolution	32768 * 32768

System Specifications

Table 2

Aspect	Details
Coprocessor	ARM A53 144 core @2.3GHz
Processor	2 Intel Xeon Scalable 2nd
RAM	24 * DDR4 DIMM 3200MHz, up to 3TB
Storage	12 2.5/3.5" SATA/SAS hard disks
Interfaces	2 x 1G LAN port \| 4 x USB3.0 \| 1 x VGA 1 x COM \| 1 x MGMT
Power Supply	Two 1300W platinum power supplies (1+1 redundancy)
Heat Dissipation	4 fans
Operating Temperature	5℃ ~ 35℃
Operating System	Ubuntu, CentOS