Phoenix8215/A-White-Paper-on-Neural-Network-Deployment
模型部署白皮书(CUDA|ONNX|TensorRT|C++)🚀🚀🚀
This white paper helps machine learning engineers and AI practitioners efficiently deploy deep learning models onto NVIDIA hardware platforms. It guides users through the process of taking a trained neural network model and optimizing it for real-world application performance. The output is a highly performant, deployed model ready for inference in production.
244 stars. No commits in the last 6 months.
Use this if you need to optimize and deploy deep learning models to NVIDIA GPUs for faster, more efficient performance in production environments.
Not ideal if you are solely focused on the theoretical aspects of deep learning model training or deploying to non-NVIDIA hardware.
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GPL-3.0
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Last pushed
Sep 18, 2024
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