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NVIDIA
NVIDIA
TensorRT
Container
NVIDIA
NVIDIA
TensorRT

NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.

NVIDIA AI Enterprise Supported
LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=d4bf82741a4b369d9207921624516cb5256221dd
12/04/2025 7:04 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=d4bf82741a4b369d9207921624516cb5256221dd
12/04/2025 7:04 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=240567772
12/04/2025 7:04 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=240567772
12/04/2025 7:04 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=240567772
12/04/2025 7:04 AM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
NVIDIA_TENSORRT_VERSION=25.12 TRTOSS_VERSION=master PYVER=3.12 ENABLE_MITMPROXY= L4T=1 CI_JOB_TOKEN=glcbt-64_QyU8DWHK4jqfVQv3ckzG ENABLE_FIPS=0 TARGETARCH=arm64 if [ "${ENABLE_FIPS}" = "1" ] &&
  [ "${TARGETARCH}" = "amd64" ]; then echo "Running fips-fix.sh"; /tmp/fips-fix.sh; fi
12/04/2025 7:04 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=arm64
12/04/2025 7:04 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
ENABLE_FIPS=0
12/04/2025 7:04 AM UTC
sha256:98060cbd3c4a0b2f94bb91fc1becd575dea1d2d4d72a50f360d99a25c69b6c0fCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
12/04/2025 7:04 AM UTC
sha256:f33a24684e5a4eb6ed255c65ac22c86d0c748983068054037817acb3654f97a2RUN
NVIDIA_TENSORRT_VERSION=25.12 TRTOSS_VERSION=master PYVER=3.12 ENABLE_MITMPROXY= L4T=1 CI_JOB_TOKEN=glcbt-64_QyU8DWHK4jqfVQv3ckzG ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
  echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
  ldconfig &&
  rm -f ${_CUDA_COMPAT_PATH}/lib
12/04/2025 7:04 AM UTC
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