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.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=339d8b704822dbfad56322fa2fad9fb413c028d5
07/25/2026 2:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=339d8b704822dbfad56322fa2fad9fb413c028d5
07/25/2026 2:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=373437255
07/25/2026 2:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=373437255
07/25/2026 2:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=373437255
07/25/2026 2:36 AM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
NVIDIA_TENSORRT_VERSION=26.07 TRTOSS_VERSION=master PYVER=3.12 ENABLE_MITMPROXY= CI_JOB_TOKEN=glcbt-64_FwjprtPWWrFVVSEEtza5 ENABLE_FIPS=0 TARGETARCH=amd64 /bin/bash -c if [ "${ENABLE_FIPS}" = "1" ] &&
  [ "${TARGETARCH}" = "amd64" ]; then echo "Running fips-fix.sh"; /tmp/fips-fix.sh; fi
07/25/2026 2:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
07/25/2026 2:36 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
ENABLE_FIPS=0
07/25/2026 2:36 AM UTC
sha256:a3e9ff9c19107ad4ede40abc27dcb277bd4a3c7304beee8ef9c1a6c81120b285COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
07/25/2026 2:36 AM UTC
sha256:e62b5895b579788c16fe30ce78df95fc2abdd767e19ff961f2ad6eadb89ebedbRUN
NVIDIA_TENSORRT_VERSION=26.07 TRTOSS_VERSION=master PYVER=3.12 ENABLE_MITMPROXY= CI_JOB_TOKEN=glcbt-64_FwjprtPWWrFVVSEEtza5 /bin/bash -c 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
07/25/2026 2:36 AM UTC
...