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
Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet
Container
Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet

NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.

LayerLabelCreated
33a6efb800d01ee40d038ce2716dbc31735f7a6ff9ade97625e97ee08222ba7fRUN
/bin/sh
12/20/2017 9:22 PM UTC
876c5a656edc2154e1dc4444e5dd673b0a8373a9197a094dafa21d8fe2f26c25ARG
NVIDIA_BUILD_REF
12/20/2017 9:22 PM UTC
adcbde32b1b33068cdfc6156defd15d85fdbf0098d4165f5171932f1dba8a59dLABEL
com.nvidia.build.id=276204
12/20/2017 9:22 PM UTC
c10b91625671dff4b00a82717871318c7adcdbf1b1bd35db684cc2705b189616ENV
NVIDIA_BUILD_ID=276204
12/20/2017 9:22 PM UTC
f73cd0125f91b9a100533aab3544b235a3528868fb83fd30714e61caf6935464ARG
NVIDIA_BUILD_ID
12/20/2017 9:22 PM UTC
d8f906147de615a03d6b59fca40c7fdb132832226782cf38e08ab7532658f0caENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
12/20/2017 9:22 PM UTC
4b494d253b2533ba0bef2b3dcc122588b8ae71f2f5ff11ab0959baa4076010acCOPY
file:7438dedd996b28538b466e8c8d9b4e2fa30bc8079ce22cf84683b7538abcfbba in /usr/local/bin
12/20/2017 9:22 PM UTC
16fe68b43081e0c7fa90c4a732ccdbde6264a53704f6e52b15f57cbf9f6df7c6RUN
PYVER=3.5 mkdir -p /workspace/examples/onnx &&
  cp /opt/mxnet/mxnet_to_onnx/examples/example_convert_lenet5.py /workspace/examples/onnx
12/20/2017 9:22 PM UTC
1b4d5aa380be47e528c32b9a99d6b162bc627ef47acf405fb69cceb7e2818689RUN
PYVER=3.5 [ "$PYVER" != "2.7" ] &&
  mkdir /workspace/examples/sockeye &&
  cd /opt/mxnet/sockeye &&
  cp get_wmt15_de_en_data.sh /workspace/examples/sockeye/ &&
  cp train_wmt15_de_en.sh /workspace/examples/sockeye/ &&
  cp preprocess_raw_data.py /workspace/examples/sockeye ||
  true
12/20/2017 9:22 PM UTC
96fc51f9b58a42c05073087d5ef97832e30288e834a22cb8c287639d1fbd3db8RUN
PYVER=3.5 chmod -R a+w /workspace
12/20/2017 9:22 PM 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.