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The MLPerf™ Training v1.1 results.

Additionally, each organization has written approximately 300 words to help explain their submissions in the the Supplemental discussion document.

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  • Python 60.9%
  • Jupyter Notebook 24.0%
  • C++ 6.1%
  • Shell 4.6%
  • Cuda 2.6%
  • Starlark 0.6%
  • Other 1.2%