TensorRT LLM Develop

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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
sha256:4603f87a7b8542c6def1b04cb372206ff154d1cb668ed913b53f35d703accc4d	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=1.3.0rc1 TARGETARCH=amd64 /bin/bash -c bash /tmp/generate_container_oss_attribution.sh "devel" "${TRT_LLM_VER}" "${TARGETARCH}" && rm /tmp/generate_container_oss_attribution.sh`	01/25/2026 5:33 PM UTC
sha256:2606787b4ab2e9656b20eef27c10df8c0a134126846deaef26a0aa7beb701061	COPY	`scripts/generate_container_oss_attribution.sh /tmp/generate_container_oss_attribution.sh`	01/25/2026 5:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TARGETARCH=amd64`	01/25/2026 5:33 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TRT_LLM_VER=1.3.0rc1`	01/25/2026 5:33 PM UTC
sha256:473c7c1d42e2417aaf98a4878ffc33f2117b71b2a7d6f0d8586e5f39bece958c	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`	01/25/2026 5:33 PM UTC
sha256:6b065ae0f4f90bc6bb4254c1230bbf068a450a137bb6e25d5642c615aaf37a05	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 \|\| true`	01/25/2026 5:28 PM UTC
sha256:2733c6e17e8452ed78fa41e0297fc05a2e1c35ca41c6d5d631e98231b2139376	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`	01/25/2026 5:28 PM UTC
sha256:f7c0197a637dd74e861b068e67cd48bd5af2bd421c5bda7a2dc64c4fa282a3e8	COPY	`constraints.txt /tmp/constraints.txt`	01/25/2026 4:50 PM UTC
sha256:0d395006b5b6a5e05bbfff302a99b768cab8fb510f93f1e77455e7233bb88e46	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	01/25/2026 4:50 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ARG	`TORCH_INSTALL_TYPE=skip`	01/25/2026 4:42 PM UTC