NVIDIA
Triton Inference Server
Container
NVIDIA
Triton Inference Server

Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.

  • LayerLabelCreated
    sha256:63bb9ca632ea92209b1ed82bcc7cb43992844141e29da26155a232e797c9ec91COPY
    /opt/hpcx/ompi /opt/hpcx/ompi
    06/18/2025 10:28 PM UTC
    sha256:28e1c3846f65abe8373d6d7f13923618ddd6845a02d1a12751d3506bb3f3210eRUN
    TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 rm -fr /opt/hpcx/ompi
    06/18/2025 10:28 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    LD_LIBRARY_PATH=/usr/local/tensorrt/lib/:/opt/tritonserver/backends/tensorrtllm:/usr/local/tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
    06/18/2025 10:28 PM UTC
    sha256:6adfc89e853ff3e9bab4775621e5372164273dde56879378bcca8282bc81c80fRUN
    TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 ldconfig &&
      ARCH="$(uname -i)" &&
      rm -fr ${TRT_ROOT}/bin ${TRT_ROOT}/targets/${ARCH}-linux-gnu/bin ${TRT_ROOT}/data &&
      rm -fr ${TRT_ROOT}/doc ${TRT_ROOT}/onnx_graphsurgeon ${TRT_ROOT}/python &&
      rm -fr ${TRT_ROOT}/samples ${TRT_ROOT}/targets/${ARCH}-linux-gnu/samples &&
      pip3 install --no-cache-dir transformers &&
      find /usr -name libtensorrt_llm.so -exec dirname {} \; > /etc/ld.so.conf.d/tensorrt-llm.conf &&
      find /opt/tritonserver -name libtritonserver.so -exec dirname {} \; > /etc/ld.so.conf.d/triton-tensorrtllm-worker.conf &&
      pip3 install --no-cache-dir grpcio-tools==1.64.0 &&
      pip3 uninstall -y setuptools
    06/18/2025 10:28 PM UTC
    sha256:c02a24c97f21949460addb2ca14385d596430041c60e8a97d1bc34114a1f4045COPY
    --chown=1000:1000 docker/sagemaker/serve /usr/bin/.
    06/18/2025 10:28 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.amazonaws.sagemaker.capabilities.multi-models=true
    06/18/2025 10:28 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
    06/18/2025 10:28 PM UTC
    sha256:44aa70d7c1fcca4bef2e17f7dca267da30fc335269996323cb0e1e04f188f947RUN
    TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 pip3 install -r python/openai/requirements.txt
    06/18/2025 10:28 PM UTC
    sha256:65ea7b945d77812c4f864677fba00c33dda7964077a092631147adb898a69234RUN
    TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 find /opt/tritonserver/python -maxdepth 1 -type f -name "tritonserver-*.whl" | xargs -I {} pip install --upgrade {}[all] &&
      find /opt/tritonserver/python -maxdepth 1 -type f -name "tritonfrontend-*.whl" | xargs -I {} pip install --upgrade {}[all]
    06/18/2025 10:28 PM UTC
    sha256:8defb1f612df54dc826a6c496c78e563bf67810993055c6e44aa5fd046540436COPY
    --chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf .
    06/18/2025 10:28 PM UTC
    ...

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