MLPerf Releases Latest Inference Results and New Storage Benchmark

September 13, 2023

MLCommons this week issued the results of its latest MLPerf Inference (v3.1) benchmark exercise. Nvidia was again the top performing accelerator, but Intel (Xeo Read more…

MLPerf Training 3.0 Showcases LLM; Nvidia Dominates, Intel/Habana Also Impress

June 28, 2023

As promised, MLCommons added a large language model (based on GPT-3) to its MLPerf training suite (v3.0) and released the latest round of results yesterday. Onl Read more…

MLPerf Inference 3.0 Highlights – Nvidia, Intel, Qualcomm and…ChatGPT

April 5, 2023

MLCommons today released the latest MLPerf Inferencing (v3.0) results for the datacenter and edge. While Nvidia continues to dominate the results – topping al Read more…

MLCommons Issues MLPerf HPC Training Results for Larger Systems

November 14, 2022

MLCommons last week issued its third annual set of MLPerf HPC (v2.0) results intended to showcase the performance of larger systems when training more rigorous Read more…

AI Trifecta – MLPerf Issues Latest HPC, Training, and Tiny Benchmarks

November 10, 2022

MLCommons yesterday issued its latest round of MLPerf benchmarks – for Training, HPC, and Tiny. Releasing three sets of benchmarks at the same time makes pars Read more…

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The Mainstreaming of MLPerf? Nvidia Dominates Training v2.0 but Challengers Are Rising

June 29, 2022

MLCommons’ latest MLPerf Training results (v2.0) issued today are broadly similar to v1.1 released last December. Nvidia still dominates, but less so (no gran Read more…

Nvidia Dominates MLPerf Inference, Qualcomm also Shines, Where’s Everybody Else?

April 6, 2022

MLCommons today released its latest MLPerf inferencing results, with another strong showing by Nvidia accelerators inside a diverse array of systems. Roughly fo Read more…

MLPerf Issues HPC 1.0 Benchmark Results Featuring Impressive Systems (Think Fugaku)

November 19, 2021

Earlier this week MLCommons issued results from its latest MLPerf HPC training benchmarking exercise. Unlike other MLPerf benchmarks, which mostly measure the t Read more…

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