TensorRT LLM Develop

NVIDIA

Container

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
sha256:4e5de205f2dafb385f8c4e3b6ad36041868b88dbb09004bcbf363d6bc8955eff	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=1.2.0rc8 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" && rm /tmp/generate_container_oss_attribution.sh`	01/11/2026 2:33 PM UTC
sha256:3ba093f444628db134a3fea385a09e700fcc3322bf45deb2096388f417d3e432	COPY	`scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh`	01/11/2026 2:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TARGETARCH=amd64`	01/11/2026 2:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.2.0rc8`	01/11/2026 2:33 PM UTC
sha256:b0c4bff3c85dc03990caccbc20d0447db8ae99652f09c4005d92ccca629bb8d4	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`	01/11/2026 2:33 PM UTC
sha256:b414bd0cd2ea2e15722e0d175ab893b14acc303cef0563ea829497da5c79a7c5	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`	01/11/2026 2:29 PM UTC
sha256:1b9ecaaf7e3024af6999a0ea294cd6231339a97efc0fe913901620beaedbb0f1	COPY	`constraints.txt /tmp/constraints.txt`	01/11/2026 2:24 PM UTC
sha256:5a7c9eeed9adac6bd321e74db9f4cd4db2d091226b04a1a2fd4c1d217411b2bb	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	01/11/2026 2:24 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TORCH_INSTALL_TYPE=skip`	01/11/2026 2:19 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`CUBLAS_VER`	01/11/2026 2:19 PM UTC