The SC7 FP300 AI Accelerator Card is a full height, full length and dual slot PCIe Gen4 x16 card that provides 256T INT8 computing power, 128TFLOPS FP16/BF16 computing power, and 16TFLOPS FP32 computing power. The card supports mixed-precision computing.
256T INT8 Computing Power
128TFLOPS FP16/BF16 Computing Power
Supports Mixed Precision Calculations
256 Channels 25fps 1080P Video Hardware Decoding
96 Channels 25fps 1080P Video Hardware Encoding
Up to 8K Resolution of Video and Image Decoding
Adaptable to Various Servers
Adaptable to Different Operating Systems and Mainstream Algorithm Frameworks
The SC7 FP300 accelerator card has strong performance and can be adapted to various servers to form intelligent analysis clusters by stacking multiple boards. It can be applied in large-scale multi-channel AI computing and analysis to realize video auditing, video structuring, industrial visual inspection and analysis, etc.
BMNNSDK (BITMAIN Neural Network 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. BMNNSDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various AI hardware products of SOPHGO to facilitate intelligent applications.
Features
AI Accelerator Card SC7 FP300
AI Computing Power
Video/JPEG Codec
CPU
Memory
PCIe
Power Consumption
Temperature
Size
Deep Learning Framework
Operation System Support
Main CPU Support