ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIAKit SDK - Windows (PB25h1)NVIDIAKit SDK - Linux (PB25h1)NVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
NVIDIA
Merlin Training
Container
NVIDIA
NVIDIA
Merlin Training

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

LayerLabelCreated
02769f4a0d9201ef4c6ed981c75c63a7d2ca507a5595bbcf2aa8d031231653a0RUN
/bin/sh
03/04/2022 8:49 AM UTC
b9fcb96e3bff150ff2965be447f9e0cf724bf5b856fc0c53c193a5270546ba45HEALTHCHECK
&{["NONE"] "0s" "0s" "0s" '\x00'}
03/04/2022 8:49 AM UTC
5148bbfc8ec4bb3d03f6e0ee5249ba57ed55aca76249906560478206575ca31bRUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4.1 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=main NVTAB_VER=v0.11.0 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/node-fetch
03/04/2022 8:49 AM UTC
faf195e3865d96d7ff3a0f524a33e23cc9eb2465c51bbf5a2b73584265eeeb52RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4.1 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=main NVTAB_VER=v0.11.0 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/marked
03/04/2022 8:49 AM UTC
3fd88ce9e552fdc5205ababbf83f8ad351ec8fd6cbf9d7c4e584ea873e447160RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4.1 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=main NVTAB_VER=v0.11.0 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /repos
03/04/2022 8:49 AM UTC
e714c9d8bed73da57cf6c91996cdffa9d157771a2d9cfef8f8c0de3db757f49fRUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4.1 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=main NVTAB_VER=v0.11.0 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git pip install numba==0.53.1 numpy==1.22.2 --no-deps
03/04/2022 8:49 AM UTC
c883c909295ab415c164cad91e2f5c1b52bc79842ff3a491289709b59ec30902RUN
HUGECTR_DEV_MODE=false HUGECTR_VER=v3.4.1 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=main NVTAB_VER=v0.11.0 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm /usr/local/cuda/lib64/stubs/libcuda.so.1
03/04/2022 8:49 AM UTC
66332d46dba036464f91d2263f40655397fc5126bd5e2089150e1935d3114c93ENV
PYTHONPATH=/hugectr/onnx_converter:/usr/local/hugectr/lib:/nvtabular:/core:
03/04/2022 8:49 AM UTC
e8ff2bac368642233b7ea43ca96376b7b2c9e6f68e03d424692e009f9d2e5887ENV
PYTHONPATH=/usr/local/hugectr/lib:/nvtabular:/core:
03/04/2022 8:49 AM UTC
3ccac5409ca6144428d884de8543490096b5208b210ae1d4752dd41862b8356eENV
LD_LIBRARY_PATH=/usr/local/hugectr/lib:/usr/java/jdk-16.0.2/lib/server
03/04/2022 8:49 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.