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MLCommons Releases New Results from MLPerf Training v2.0 Sulagna @CommonsML David Kanter #Exclusive #MLPerf #ML #AI tfd.bz/3nuuM5e

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

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

So excited at #SC22 to see which team will win the Student Cluster Competition. 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.

[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. David Kanter

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 Intel AI

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

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

.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…

New MLPerf inference results from us at Red Hat AI (formerly Neural Magic) 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

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

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 🥳🎉🎈🎊

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

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

AI semiconductor company Syntiant Corp. 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:

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…

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,” David Kanter said.

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!

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.

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