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TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
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Python 48.8%
C++ 38.5%
Cuda 10.8%
Groovy 0.7%
CMake 0.5%
Other 0.5%
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Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
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