
MLPerf
@mlperf
Building fair, useful, industry-standard benchmarks for ML training and inference performance of hardware, software, and services from TinyML to supercomputers
ID: 1083132615153016833
http://mlcommons.org 09-01-2019 22:45:13
95 Tweet
659 Followers
2 Following


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…


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.










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…




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.


