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Specially designed for the CAISA architecture, RainBuilder provides rapid deployment for deep learning algorithms in just two steps. It supports TensorFlow, Caffe, PyTorch, ONNX (Mxnet, PaddlePaddle) and most deep learning frameworks with a versatile and user-friendly developing environment.
Compatible with mainstream deep learning frameworks;
Enhanced automatic compiling network models;
Automatic quantitative compression, node fusion, memory optimization.
Simplifies development process;
Provides C ++ / Python API for expansion;
Provides performance model analysis, accuracy verification, automatic thread scheduling, etc.
Support CAISA hardware driver, software-hardware scheduling, and streaming graph analysis;
Straightforward, automatic performance optimization and scheduling.
Accelerate AI Deployment with Next-Gen Computing Platform
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Sales contact：sales@scsnchem.com
Media cooperation：media@scsnchem.com
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