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
sha256:533129ae4ded6e07977e3a367b7a256f9b9c850329ad0dcae2811cc948263278	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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip GIT_COMMIT=6e1cc953c071b8a9055b03ef2ae4ee0bc4c645c4 TRT_LLM_VER=1.3.0rc27 TARGETARCH=amd64 /bin/bash -c bash /tmp/gen_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}"`	09/14/2026 8:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`TRT_LLM_GIT_COMMIT=6e1cc953c071b8a9055b03ef2ae4ee0bc4c645c4 TRT_LLM_VERSION=1.3.0rc27`	09/14/2026 8:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TARGETARCH=amd64`	09/14/2026 8:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.3.0rc27`	09/14/2026 8:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`GIT_COMMIT=6e1cc953c071b8a9055b03ef2ae4ee0bc4c645c4`	09/14/2026 8:46 AM UTC
sha256:8d1a95f4609383edc91f2a19d3f8d2a877a112968746e200aab3f1bbce6b134d	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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c . /opt/docker/common/github_auth.sh && GITHUB_MIRROR=${GITHUB_MIRROR} bash /opt/docker/common/install_ucx.sh && GITHUB_MIRROR=${GITHUB_MIRROR} bash /opt/docker/common/install_nixl.sh && bash /opt/docker/common/install_etcd.sh && GITHUB_MIRROR=${GITHUB_MIRROR} bash /opt/docker/common/install_fa4.sh && rm -rf /root/.cache/uv/archive-v0 && rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info && rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-*.dist-info	09/14/2026 8:46 AM UTC
sha256:3f8041ca97e749bedee8fb46321fd946900bea60c72cb9b27d77d126575fa37a	RUN	SH_ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc GITHUB_MIRROR=https://urm.nvidia.com/artifactory/github-go-remote PYTHON_VERSION=3.12.3 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c if [ -n "$GITHUB_MIRROR" ]; then export PIP_INDEX_URL="https://urm.nvidia.com/artifactory/api/pypi/pypi-remote/simple"; fi && pip3 uninstall -y tornado black nbconvert pillow nvidia-cutlass-dsl nvidia-cutlass-dsl-libs-base nvidia-cutlass-dsl-libs-core nvidia-cutlass-dsl-libs-cu12 nvidia-cutlass-dsl-libs-cu13 numpy wandb \|\| true && rm -rf $(python3 -c "import site; print(site.getsitepackages()[0])")/nvidia_cutlass_dsl* && pip3 install -r /tmp/constraints.txt "nvidia-cutlass-dsl[cu13]==4.8.0.dev0" && rm /tmp/constraints.txt	09/14/2026 8:42 AM UTC
sha256:03583444bcf7b0f9b0b41530182c8711a45119d12ab28d2fb060e3b695c64df1	COPY	`constraints.txt /tmp/constraints.txt`	09/14/2026 8:42 AM UTC
sha256:141108787e907a1546ea729beaed18102231299002953bcf6c5c4e0a417fcc69	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 CUDA_VER= CUDNN_VER= NCCL_VER= CUBLAS_VER= TORCH_INSTALL_TYPE=skip /bin/bash -c echo "Using GitHub mirror: ${GITHUB_MIRROR}" && echo "Using Python version: ${PYTHON_VERSION}" && . /opt/docker/common/github_auth.sh && GITHUB_MIRROR=${GITHUB_MIRROR} PYTHON_VERSION=${PYTHON_VERSION} CUDA_VER=${CUDA_VER} CUDNN_VER=${CUDNN_VER} NCCL_VER=${NCCL_VER} CUBLAS_VER=${CUBLAS_VER} TORCH_INSTALL_TYPE=${TORCH_INSTALL_TYPE} bash /opt/docker/common/install.sh --base --cmake --ccache --cuda_toolkit --cuda_libs --polygraphy --mpi4py --pytorch	09/14/2026 8:42 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TORCH_INSTALL_TYPE=skip`	09/14/2026 8:40 AM UTC