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NVIDIA
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
sha256:04056435ba3ca32b3cb4311d626cc6041ffcee9dbe230eb4f0cfba6e2c0f011aCOPY
--chown=1000:1000 docker/sagemaker/serve /usr/bin/.
10/03/2025 5:34 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.amazonaws.sagemaker.capabilities.multi-models=true
10/03/2025 5:34 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
10/03/2025 5:34 PM UTC
sha256:3336f680174ee1c4794ab3fce8011ff5c7b211d3713376961ac6fde7f0d5c731RUN
TRITON_VERSION=2.61.0 TRITON_CONTAINER_VERSION=25.09 BUILD_PUBLIC_VLLM=false PYVER=3.12 pip3 install -r python/openai/requirements.txt
10/03/2025 5:34 PM UTC
sha256:92d2024a42de43f8b6ec76ca3679edf642256988b2efadbb00532b61fa3d57bbRUN
TRITON_VERSION=2.61.0 TRITON_CONTAINER_VERSION=25.09 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]
10/03/2025 5:34 PM UTC
sha256:4365fa2e4e5d7a7745aeff43bf8ee7c5bc9cdc37ab2d9ad8dec82458e09f3044COPY
--chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf .
10/03/2025 5:34 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/opt/tritonserver
10/03/2025 5:34 PM UTC
sha256:34bf783a96bc10961b9a1fd2605bfc81798e7c8724feee1fd1b92b6289a3649eCOPY
--chown=1000:1000 build/install tritonserver
10/03/2025 5:34 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/opt
10/03/2025 5:34 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=e083729f123ef30ce5afc235aec51c3bcacb5c1a
10/03/2025 5:34 PM UTC
...