NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It is designed to work in a complementary fashion with training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses specifically on running an already-trained network quickly and efficiently on NVIDIA hardware.
IMPORTANT: This is a special release of TensorRT designed to work only with TensorRT-LLM. Please refrain from upgrading to this version if you are not using TensorRT-LLM.
To install, please execute the following:
pip install tensorrt --extra-index-url https://pypi.nvidia.com
Or add the index URL to the (space-separated) PIP_EXTRA_INDEX_URL environment variable:
export PIP_EXTRA_INDEX_URL='https://pypi.nvidia.com'
pip install tensorrt
When the extra index url does not contain https://pypi.nvidia.com, a nested pip install will run with the proper extra index url hard-coded.
FAQs
A high performance deep learning inference library
We found that tensorrt-cu12 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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