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NVIDIA
TensorRT Inference Server
Container
NVIDIA
NVIDIA
TensorRT Inference Server

TensorRT Inference Server provides a data center inference solution optimized for NVIDIA GPUs. It maximizes inference utilization and performance on GPUs via an HTTP or gRPC endpoint, allowing remote clients to request inference for any model that is being managed by the server, as well as providing real-time metrics on latency and requests.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=059956c4e9a6b4da30e53712ba8535fb88c8c7b1
11/14/2019 9:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
11/14/2019 9:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=8810908
11/14/2019 9:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=8810908
11/14/2019 9:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
11/14/2019 9:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/opt/tensorrtserver/nvidia_entrypoint.sh
11/14/2019 9:44 PM UTC
sha256:f03768cb5a8c02d94d6e39469a9bc16e30ef77b4683e9a15769d630ae6b2ad8cCOPY
--chown=1000:1000file:f894ab75fd7380df5bdd020b60e778b96df3f14a43d41bc5a541919311d0cdfb in /opt/tensorrtserver
11/14/2019 9:44 PM UTC
sha256:61007e59d56e8d96f0570657f1c9b9082f7654d2bcd441968098379ddfad50a3RUN
TRTIS_CONTAINER_VERSION=19.11 TRTIS_VERSION=1.8.0 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
11/14/2019 9:44 PM UTC
sha256:351b2feddf5ea459a148f6fbb20aa348cc65e9e8cf202d1efa31dd11a8814feaRUN
TRTIS_CONTAINER_VERSION=19.11 TRTIS_VERSION=1.8.0 apt-get update &&
  apt-get install -y --no-install-recommends python3-pip &&
  rm -rf /var/lib/apt/lists/* &&
  pip3 install --upgrade wheel setuptools &&
  (cd $INTEL_CVSDK_DIR/deployment_tools/model_optimizer &&
  pip3 install -r requirements_onnx.txt)
11/14/2019 9:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=/opt/openvino_scripts:/opt/openvino_scripts/openvino_2019.1.144:/opt/openvino_scripts/openvino_2019.1.144/deployment_tools/model_optimizer:/opt/openvino_scripts/openvino_2019.1.144/tools:
11/14/2019 9:43 PM UTC
...

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