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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
sha256:81546f26b4de3c30713f9ebba1148cb38baa97ddf79306f5705fceb087e90ea1COPY
--chown=1000:1000 docker/sagemaker/serve /usr/bin/.
07/28/2025 3:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.amazonaws.sagemaker.capabilities.multi-models=true
07/28/2025 3:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
07/28/2025 3:59 PM UTC
sha256:27e40cae8ad3e72419d65722e785ce04b4c54474fc50bb57942afd83277fd6d4RUN
TRITON_VERSION=2.59.1 TRITON_CONTAINER_VERSION=25.07 BUILD_PUBLIC_VLLM=false PYVER=3.12 pip3 install -r python/openai/requirements.txt
07/28/2025 3:59 PM UTC
sha256:eefc7e73b239a18198d3fbcce075c85edfc4c0f3bb400a71c5d644133f61d4c8RUN
TRITON_VERSION=2.59.1 TRITON_CONTAINER_VERSION=25.07 BUILD_PUBLIC_VLLM=false PYVER=3.12 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]
07/28/2025 3:59 PM UTC
sha256:51af8ef3d0f937aa3f347600ad0a35a51a26c6b838b724253094cc3f02acabdaCOPY
--chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf .
07/28/2025 3:59 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/opt/tritonserver
07/28/2025 3:59 PM UTC
sha256:cc77d1c9e8c8d88f1093db862116f984964dbe82ecc790cdf55f4ea55d38c09fCOPY
--chown=1000:1000 build/install tritonserver
07/28/2025 3:59 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/opt
07/28/2025 3:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=94e3a7cf3e836818273f6a353849cd3f9fc26b5a
07/28/2025 3:59 PM UTC
...

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