Shypd.aiThe largest open index of AI toolsAITemplate is a Python framework that renders neural networks into high-performance CUDA/HIP C++ code. It specializes in FP16 TensorCore for NVIDIA GPUs and MatrixCore for AMD GPUs, optimizing inference serving.
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AITemplate (AIT) is a Python framework designed to transform deep neural networks into highly optimized CUDA/HIP C++ code for lightning-fast inference serving. It achieves close to roofline FP16 TensorCore performance on NVIDIA GPUs and MatrixCore performance on AMD GPUs for major models like ResNet, BERT, and Stable Diffusion. AITemplate is fully open-source and offers a unified, flexible approach with easily extendable high-performance primitives. A key differentiator is its independence from third-party libraries like cuBLAS or TensorRT, compiling models into self-contained, portable binaries. It also features advanced horizontal, vertical, and memory fusion techniques to maximize performance. The FX2AIT tool facilitates easy conversion of PyTorch models, even supporting partial acceleration for models with unsupported operators.
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