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Algorithm-to-Hardware Toolchain
Rapid Deployment for AI Algorithms

About RainBuilder

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.

About RainBuilder
Development Kits
RainBuilder Compiler
RainBuilder Compiler

Compatible with mainstream deep learning frameworks;

Enhanced automatic compiling network models;

Automatic quantitative compression, node fusion, memory optimization.

RainBuilder Runtime
RainBuilder Runtime

Simplifies development process;

Provides C ++ / Python API for expansion;

Provides performance model analysis, accuracy verification, automatic thread scheduling, etc.

RainBuilder Driver
RainBuilder Driver

Support CAISA hardware driver, software-hardware scheduling, and streaming graph analysis;

Straightforward, automatic performance optimization and scheduling.

Operation Instruction
Operation Instruction

Accelerate AI Deployment with Next-Gen Computing Platform





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