Deep Learning Computing Module SM5

Datacenter

Deep Learning Computing Module SM5

SOPHON SM5 is an deep learning computing module with super computing power. It is positioned in edge computing scenarios with requirements for high performance and has over 16 channels of HD video deep learning analysis.

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Advanced Processing Power

Performance and Power Efficiency

High Computing Power and Low Power Consumption

With 17.6 TOPS INT8 computing power and up to 35.2 TOPS with Winograd convolution acceleration, SM5 far surpasses similar products in the industry. The typical power consumption of 16-channel video stream analysis is lower than 16W.

Ultra-high Video Decoding Capabilities

SM5 supports up to 32 channels of full HD video decoding and H264/H265 format. It can realize over 16 channels of HD video stream face detection or video structurization.

Convenient and Efficient

Easy-to-Use

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.

SPECIFICSTIONS

Module SM5

Deep Learning Processor: BM1684
Deep Learning Performance: Supports FP32/INT8, up to 16 channels of HD video intelligent analysis
Memory Configuration:
Standard: 12GB
RISC-V Capacity: RISC-V (SOC host mode), 8-core ARM A53 @ 2.3GHz
High-Speed Data Interface:
PCIe EP Interface: PCIe 3.0, X4
PCIe RC Interface: PCIe 3.0, X4
Ethernet Ports: Dual Gigabit Ethernet ports

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