ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
  • NVIDIA
    Merlin PyTorch Training
    Container
    NVIDIA
    Merlin PyTorch Training

    This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    ["/bin/bash" "-c" "/opt/nvidia/nvidia_entrypoint.sh"]
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
    /bin/bash
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
    &{["NONE"] "0s" "0s" "0s" '\x00'}
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=main MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/node-fetch
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=main MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/marked
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CORE_VER=main MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main rm -rf /repos
    		05/06/2022 7:06 AM UTC
    sha256:8ca8e35c14d8259160eb3151d353420ec781e733cf3cbff5459a2660490c0fa5RUN
    CORE_VER=main MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main git clone https://github.com/NVIDIA-Merlin/Merlin/ /Merlin
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHONPATH=:/core:/systems:/nvtabular:/transformers4rec:/models
    		05/06/2022 7:06 AM UTC
    sha256:c614450efcc0d42c2505c5c8557cf00c9b31ca3b3039e806a305192d5a0e72e9RUN
    CORE_VER=main MODELS_VER=main NVTAB_VER=main SYSTEMS_VER=main TF4REC_VER=main git clone https://github.com/NVIDIA-Merlin/Models.git /models/ &&
  cd /models/ &&
  git checkout ${MODELS_VER} &&
  pip install . --no-deps
    		05/06/2022 7:06 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHONPATH=:/core:/systems:/nvtabular:/transformers4rec
    		05/06/2022 7:05 AM UTC
    ...

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.