Torch-TensorRT
PyTorch Foundation (Linux Foundation)Torch-TensorRT is PyTorch's official compiler that lowers PyTorch, TorchScript and FX models into NVIDIA TensorRT engines, accelerating inference on NVIDIA GPUs while staying inside the PyTorch runtime.
Verified 2026-09-02 via the GitHub API and the LICENSE body.
Openness
5 high confidence- license
- BSD-3-Clause(OSI)
- source
- public
- core-gated
- ungated
BSD-3-Clause license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.
- https://github.com/pytorch/TensorRT/blob/main/LICENSE recorded 2026-09-02
LICENSE body is the verbatim three-clause BSD text under a PyTorch/NVIDIA copyright line.
- https://api.github.com/repos/pytorch/TensorRT recorded 2026-09-02
Repo metadata for torch-tensorrt's canonical repository - private false, archived false, fork false.
- https://github.com/pytorch/TensorRT/blob/main/README.md recorded 2026-09-02
README describes Torch-TensorRT as bringing the power of TensorRT to PyTorch to accelerate inference for any PyTorch model on the NVIDIA platform, with no paid tier, enterprise edition or license-gated build beside the published source.
Adoption
2 high confidence33,392 PyPI downloads of `torch-tensorrt` in the trailing 30 days, which lands in the 10K-100K band of the software usage scale, level 2. The package is published from pytorch/TensorRT and `pip install torch-tensorrt` is the README's install path. Torch-TensorRT also ships preinstalled in NVIDIA's PyTorch NGC containers, a channel that publishes no count, so the band is a floor.
- https://pypistats.org/api/packages/torch-tensorrt/recent recorded 2026-09-02
last_month downloads = 33,392 for torch-tensorrt
- https://pypi.org/pypi/torch-tensorrt/json recorded 2026-09-02
PyPI metadata for torch-tensorrt 2.13.0 - project_urls Repository = https://github.com/pytorch/tensorrt.git, summary 'Torch-TensorRT is a package which allows users to automatically compile PyTorch and TorchScript modules to TensorRT'.
Capability
4 medium confidenceOne band below the apache-tvm anchor, the same level as mlc-llm, coremltools, nvidia-model-optimizer, intel-neural-compressor and torchao: a full compilation toolchain narrowed to one framework and one vendor's hardware targets.
- https://github.com/pytorch/TensorRT/blob/main/README.md recorded 2026-09-02
README describes Torch-TensorRT as bringing the power of TensorRT to PyTorch to accelerate inference for any PyTorch model on the NVIDIA platform, with no paid tier, enterprise edition or license-gated build beside the published source.
Verified 2026-09-02