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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MLCommons @MLCommons

a week ago

@MLCommons & @AVCConsortium announce @MLPerf Automotive v0.5 benchmark results—a major step for transparent, reproducible automotive AI performance data. mlcommons.org/2025/08/mlperf…

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HPCwire @HPCwire

2 years ago

Guess who was named an AI inference leader in the latest @MLPerf results released by MLCommons?

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David Kanter @TheKanter

2 years ago

On a personal level, I loved seeing .@MLPerf being mentioned so much! I can’t wait to see more submissions from across the industry as we push for the next 1000x in machine learning performance.

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@MLCommons @MLPerf The Perf Storage Benchmark Suite will be a critical resource in improving machine learning and we’re honored to have participated alongside these industry leaders and academic organizations!

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Sean Kerner @TechJournalist

2 years ago

Inference keeps getting faster ... and more demanding. @MLCommons MLPerf Inference 3.1 adds large language model benchmarks for inference venturebeat.com/ai/mlperf-3-1-… via @VentureBeat "“We’re evolving the benchmark suite to reflect what’s going on,” @TheKanter said.

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MLCommons @MLCommons

2 years ago

@MLCommons, we just released! New @MLPerf Inference and Storage results. Record participation in MLPerf Inference v3.1 and first-time MLPerf Storage v0.5 results highlight the growing importance of GenAI and storage. See all the results and learn more mlcommons.org/en/news/mlperf…

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Intel Capital @intelcapital

2 years ago

AI semiconductor company @Syntiantcorp announced its Syntiant Core 2™ programmable #deeplearning #architecture ranked as utilizing the lowest power #energy across three categories in @MLCommons @MLPerf Tiny v1.1 benchmark suite. Read more about energy performance below:

Syntiant Corp. @Syntiantcorp

2 years ago

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MLCommons @MLCommons

2 years ago

If you are at the @databricks Data+AI Summit this week be sure to check out @MLCommons Exec Director @TheKanter's session - Advancing ML Through Benchmarks & Data, Thursday, June 29 at 2:30pm databricks.com/dataaisummit/s…

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MLCommons @MLCommons

2 years ago

Calling all ISC attendees, stop by the @MLPerf roundtable 5/24 at 9am, Hall E - 2nd floor, to learn more about the MLPerf HPC benchmark suite V3.0 from the experts who created it. #mlcommons #MachineLearning #ISC23

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MLPerf @MLPerf

2 years ago

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 🥳🎉🎈🎊

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MLPerf @MLPerf

2 years ago

Driving ML Forward in Automotive - David Kanter - 2023 CASPA Spring Symp... youtu.be/-TxJbUSv7EA via @YouTube

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HPCwire @HPCwire

2 years ago

MLCommons: MLPerf Inference Delivers Power Efficiency and Performance Gains ow.ly/5vE250NBs04 #HPC @MLCommons @MLPerf

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Red Hat AI @RedHat_AI

2 years ago

Learn about the business implications and check out the technical details of our @MLPerf submission in our blog. neuralmagic.com/blog/neural-ma…

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Sally Ward-Foxton @sallywf

2 years ago

.@MLPerf inference results are out! Two startups took on @nvidia and won (albeit for perf/Watt, and only in certain specific scenarios): Taiwan's Neuchips and Silicon Valley's SiMa. @Qualcomm also has some perf/Watt wins against H100 this time. #mlperf #ai eetimes.com/mlperf-inferen…

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Mark Kurtz @markurtz_

2 years ago

New @MLPerf inference results from us at @NeuralMagic are now up! We show 1,000x performance improvements and 92% reduction in energy consumption. Dive into the blog to learn more: neuralmagic.com/blog/neural-ma… #mlops #mlperf #ml

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Software Dev Tools @IntelDevTools

3 years ago

With the Intel #oneAPI tools and optimized #AI frameworks #deeplearning inference and training saw significant performance gains on the latest Intel Xeon CPU Max Series. Learn more: intel.ly/3GwgRop #DL #CPU @MLPerf @TensorFlow @PyTorch @IntelAI

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STMicroelectronics @ST_World

3 years ago

[News from the #STBlog: bddy.me/3VjhvM7] We recently joined @MLCommons and released new @MLPerf Tiny results. See why the benchmark helps advance machine learning at the edge. @TheKanter

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Dr. Hai Ah Nam @DrHaiAhNam

3 years ago

So excited at #SC22 to see which team will win the @SCCompSC. Teams are working hard benchmarking #HPL #HPCG #IO500 #AI before the application workload kick off at the gala tonight. Thanks @MLPerf @MLCommons @grigori_fursin @octoml for the #AI benchmark.

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Dave Davies @OnlineInference

3 years ago

🚀 The results are in! 📊 @MLPerf Results Published For November 9th Benchmarking Rounds | via @weights_biases wandb.ai/telidavies/ml-…

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Eliza Strickland @newsbeagle

3 years ago

New rankings of #NeuralNetworks training time from @mlperf1 ("the Olympics of machine learning"), nice writeup by @SamuelKMoore #AI spectrum.ieee.org/mlperf-ranking…