deep learning computing module SM7 32-EP4-22

SOPHON SM7 32-EP4-22 is an deep learning computing module with super performance. It is positioning the edge computing scenes with high performance requirements and has deep learning analysis capabilities of over 32 channels FHD video .

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Independent research and development, powerful computing power

SOPHON SM7 32-EP4-22 is equipped with the fourth-generation TPU processor BM1684X, which is independently developed by SOPHON. The INT8 computing power is up to 32TOPS, and it can process more than 32 channels of HD video at the same time. It is only the size of a credit card, with rich IO interfaces, and easy to integrate into various edge or embedded devices. The tool chain is complete and easy to use, and the cost of algorithm migration is small.

Chip BM1684X

32TOPS

32 channels HD video hardware decoding

Ultra-high computing power, ultra-strong decoding

32 TOPS INT8 computing power, 8 core A53 flexible application development；32-channel 1080P video decoding, 12-channel 1080P video encoding

Wide temperature and low power consumption, flexible deployment

-40℃~+70℃ wide temperature, flexible to cope with different environments；2/3 credit card size, typical power consumption is less than 18W

Dual mode drive, strong expansibility

PCIE Mode can be used as a slave device and SOC Mode as a master device；Rich interface, convenient function expansion

The toolchain is complete

Support deep learning industry mainstream frameworks Caffe, Tensorflow, Pytorch,Paddle, Mxnet

Wide application and rich scenes

It is applied to intelligent public security, intelligent park, intelligent retail, intelligent power, industrial robot UAV and other visual computing deep learning scenes.

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.

Product model number

SM7 32-EP4-22

Main control RISC-V

8 cores ARM A53@2.3GHz

Deep learning Computing power

Supports FP32/FP16/BF16/INT8, capable of supporting up to 32 channels of high-definition video intelligent analysis

Video/lmageEncoding and decoding

Video decoding capability

H.264 & H.265: 32-ch 1080P@25fps The maximum resolution supported is 7880 x 4320

Video coding capability

H.264 & H.265: 12-ch 1080P@25fps The maximum resolution supported is 7680 x 4320

lmage decodingcapability (JPEG)

400 images's @1080P. The maximum resolution supportedis 32768 x 32768

Memory

Standard configuration

16GB

eMMC

Standard configuration

64GB

Interface

PCIE

PCIE 3.0 x 4 EP + x 4 RC

Network interface

10/100/1000Mbps RGMII x 2

Bus interface

GPIO / SDIO / PWM / 12C etc

connector

Interface specification

144-PIN BTB Connector

Operating temperature

Temperature range

-40°C ~ +70°C

Power consumption

Typical value

18W

Dimensions of structure

Length * width * height

62 x 58 x 33.45 (mm)

Deep Learning computing module SM7 32-EP4-22