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MLPerf
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MLPerf
@MLPerf
Building fair, useful, industry-standard benchmarks for ML training and inference performance of hardware, software, and services from TinyML to supercomputers
mlcommons.org
Joined January 2019
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  • user avatar
    MLPerf
    @MLPerf
    Apr 13, 2023
    Can you train a large language model? We’re adding GPT3 to MLPerf Training v3.0, so show us what you’ve got in Q2! Let the games begin 🥳🎉🎈🎊
  • user avatar
    MLPerf
    @MLPerf
    Apr 12, 2023
    Driving ML Forward in Automotive - David Kanter - 2023 CASPA Spring Symp... youtu.be/-TxJbUSv7EA via @YouTube
  • user avatar
    MLPerf
    @MLPerf
    Jun 30, 2022
    Congratulations to everyone on another superb round of MLPerf results and helping to make machine learning better for the whole world!
    user avatar
    MLCommons
    @MLCommons
    Jun 29, 2022
    Thanks to 21 organizations we have >250 results in today’s MLPerf Training v2 that show up to 1.8X greater performance ultimately paving the way for more capable intelligent systems to benefit society at large. businesswire.com/news/home/2022…
  • user avatar
    MLPerf
    @MLPerf
    Mar 17, 2022
    What a fantastic example of how MLPerf is a great tool for software companies :)
    user avatar
    Naveen Rao
    @NaveenGRao
    Mar 17, 2022
    Replying to @TheKanter
    The baseline is mlperf compliant but the methods change the math, so not in the closed category. Or you tell me?
  • user avatar
    MLPerf
    @MLPerf
    Dec 15, 2021
    Excited to see our MLPerf app being used for reviews!
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