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NVIDIA
Triton Inference Server
Container
NVIDIA
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.

NVIDIA AI Enterprise Supported
LayerLabelCreated
sha256:a73a97106c50502f37507c54154bd6bc349ba039f1e40d3e124e52f86feb071eCOPY
--chown=1000:1000 docker/sagemaker/serve /usr/bin/.
10/29/2025 7:01 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.amazonaws.sagemaker.capabilities.multi-models=true
10/29/2025 7:01 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
10/29/2025 7:01 PM UTC
sha256:9b9e1067b99e0508d950116c15038887f6986f44262835539d2fe2116c50facaRUN
TRITON_VERSION=2.62.0 TRITON_CONTAINER_VERSION=25.10 pip3 install -r python/openai/requirements.txt
10/29/2025 7:01 PM UTC
sha256:07142eaa96ee6a610d97dd276141ff98770eeb636f20ec5d2a5b9d00df5e3c96RUN
TRITON_VERSION=2.62.0 TRITON_CONTAINER_VERSION=25.10 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]
10/29/2025 7:01 PM UTC
sha256:f14cf739d2328a74dc7d760483015d5ded5f863cd104369afb162aa50e1006f8COPY
--chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf .
10/29/2025 7:01 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/opt/tritonserver
10/29/2025 7:01 PM UTC
sha256:e825febccef15d0f19d6e91a25a67470a6b70417e1831bd64da60b041ff7cda6COPY
--chown=1000:1000 build/install tritonserver
10/29/2025 7:01 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/opt
10/29/2025 7:01 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=374194f9f494599a028053e9d3f6771b7e37ef76
10/29/2025 7:01 PM UTC
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