EN
EN
SC7 HP75 is an 深度学习 inference accelerator card designed for efficient adaptation to mainstream 深度学习 algorithms on the market. It enables applications such as video structuring, facial recognition, behavioral analysis, and status monitoring, providing empowerment for various fields including smart cities, intelligent transportation, smart energy, smart finance, smart telecommunications, and smart industry.
72 TOPS peak INT8
36 TFLOPS FP16/BF16 computing power
Supports Mixed Precision Calculations
96 Channels 25fps 1080P Video Hardware Decoding
36 Channels 25fps 1080P Video Hardware Encoding
Up to 8K Resolution of Video and Image Decoding
Compatible with various servers
Compatible with various operating systems and mainstream algorithm frameworks
The SC7 HP75-I acceleration card boasts powerful performance and can be paired with various servers to form intelligent analysis clusters through the stacking of multiple cards. It can be utilized for large-scale, multi-channel 深度学习 computing and analysis in a variety of scenarios, such as audio and video auditing, video structuring, and industrial visual inspection and analysis.
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.
Features
Deep learning Accelerator Card SC7 HP75
Processor
Deep learning Computing Power
Video/JPEG Codec
Memory
PCIe
Power Consumption
Temperature
Size
Deep Learning Framework
Operation System Support
Main Processor Support