TensorRT LLM Develop

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NVIDIA

TensorRT LLM Develop

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

Layer	Label		Created
sha256:a4cb688805ed6c581940e0373749548a2e8d78318d4cb7d15196b778c1aa170a	RUN	`SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip TRT_LLM_VER=1.2.1 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" && rm /tmp/generate_container_oss_attribution.sh`	04/16/2026 5:13 PM UTC
sha256:b63bdae787c29773c1f11b3ecba4c9b77d195239bd9cd8b47834bd8413bb528e	COPY	`scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh`	04/16/2026 5:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TARGETARCH=amd64`	04/16/2026 5:13 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.2.1`	04/16/2026 5:13 PM UTC
sha256:30e4476e7e817f6e850bdd797c723f360401367b3b4bfedfe8e59ad03a61f4d7	RUN	SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_ucx.sh && GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_nixl.sh && bash ./install_etcd.sh && rm install_ucx.sh && rm install_nixl.sh && rm install_etcd.sh && rm -rf /root/.cache/pip && rm -rf /root/.cache/uv/archive-v0 && rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info && rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info	04/16/2026 5:13 PM UTC
sha256:f542f0fff99ead6665c718434581b578614a7c5a40ea6abc899bb049e085f353	RUN	`SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c pip3 uninstall -y nbconvert pillow \|\| true`	04/16/2026 5:09 PM UTC
sha256:5aa3b14a8d8eed9c869d54cac6e91be81defe02fac91e9012c2166067df1054a	RUN	`SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c pip3 install --no-cache-dir -r /tmp/constraints.txt && rm /tmp/constraints.txt`	04/16/2026 5:09 PM UTC
sha256:7ebdc875134223a296d38241f83a6e79c9c2b92d808af826b5e47e08daac291f	COPY	`constraints.txt /tmp/constraints.txt`	04/16/2026 5:09 PM UTC
sha256:ae8ca07fafcb71e05408c471bfb2c743e7e5977e7287799d0296ea435adb043a	RUN	SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 TRT_VER= CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c GITHUB_MIRROR=${GITHUB_MIRROR} PYTHON_VERSION=${PYTHON_VERSION} TRT_VER=${TRT_VER} CUDA_VER=${CUDA_VER} CUDNN_VER=${CUDNN_VER} NCCL_VER=${NCCL_VER} CUBLAS_VER=${CUBLAS_VER} TORCH_INSTALL_TYPE=${TORCH_INSTALL_TYPE} bash ./install.sh --base --cmake --ccache --cuda_toolkit --tensorrt --polygraphy --mpi4py --pytorch --opencv && rm install_base.sh && rm install_cmake.sh && rm install_ccache.sh && rm install_cuda_toolkit.sh && rm install_tensorrt.sh && rm install_polygraphy.sh && rm install_mpi4py.sh && rm install_pytorch.sh && rm install.sh	04/16/2026 5:09 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TORCH_INSTALL_TYPE=skip`	04/16/2026 3:38 PM UTC