NVIDIA
NVIDIA
TAO Toolkit
Container
NVIDIA
NVIDIA
TAO Toolkit

Docker containers distributed as part of the TAO Toolkit package

LayerLabelCreated
07d53fcefe084f29fe06a15829bfaca74c9f147edf2a2f528ae69dee44d49b26CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia; ExposedPorts 6006/tcp, 8000/tcp, 8888/tcp
09/18/2025 7:56 AM UTC
8ccad2dff28568d1455ea681cd361f818b73a665f0338215b1f8cc2ec15adc3cENV
RUN_CLI=0
09/18/2025 7:56 AM UTC
db6cc00fe8b11f2641d659c6871af979462535a78549180b27248fa19b4bf856ENV
FLASK_APP=nvidia_tao_core.microservices.app
09/18/2025 7:56 AM UTC
4792326db4349e48131f0cdf695685cdb6428c1a0c9c70f1e3093a4817982101EXPOSE
8000/tcp
09/18/2025 7:56 AM UTC
293b0c19e06ebd7d2ed3ff1ee858bdec31a968924f1201625e51da8753d31b12ENV
TAO_TELEMETRY_SERVER=https://api.tao.ngc.nvidia.com
09/18/2025 7:56 AM UTC
8a134f4a5adb6ba22e003f995627605ad10ebeb6be623a72d21294e8be575eb5ENV
CUBLAS_WORKSPACE_CONFIG=:4096:8
09/18/2025 7:56 AM UTC
f490f716397684ba32e062e9f1b6bea9fb5210ff9efcda39939f0352d32619b9ENV
NVIDIA_TAO_TOOLKIT_VERSION=6.25.9-PyTorch
09/18/2025 7:56 AM UTC
47efaee6eae77fa3fa8c2152790d61dd38ac79f1d0f16fd847535471c72a99d4ENV
TAO_TOOLKIT_VERSION=6.25.9
09/18/2025 7:56 AM UTC
7279c4c2fe5c7d7e3780597fc9df414ad574412268e9e634366f9fae6c9198fbENV
NVIDIA_PRODUCT_NAME=TAO Toolkit
09/18/2025 7:56 AM UTC
d0c7a8300eaf63d1f54e0afe011bba64c5f2f32e67ce5ff637c608c01d5d6120RUN
cd wheels &&
  ls ./*.whl|xargs -I'{}' python -m pip install '{}' &&
  rm *.whl
09/18/2025 7:56 AM UTC
...

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