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Tensorrt

TensorRT is a toolkit for optimizing deep learning inference applications.

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TensorRT is an ecosystem of tools designed for developers to enhance the performance of deep learning inference. It includes components such as inference compilers, runtimes, and model optimizations that aim to reduce latency and increase throughput for production applications. The toolkit supports various quantization techniques and is built on the NVIDIA CUDA parallel programming model, making it suitable for deployment across a range of devices, from data centers to edge devices.

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