Peter Mattson
Founder and President of MLCommons and founding General Chair of MLPerf; senior staff engineer at Google
Peter Mattson founded and is President of MLCommons, the engineering consortium behind the MLPerf and AILuminate benchmarks, and founded and was General Chair of the MLPerf consortium that preceded it. Mattson is a senior staff engineer at Google whose research focuses on understanding machine learning models and data through quantitative metrics.1
Career
Before MLCommons, Mattson founded the Programming Systems and Applications Group at NVIDIA Research, was vice president of software infrastructure at Stream Processors Inc., and was a managing engineer at Reservoir Labs.1
Mattson founded the MLPerf consortium and served as its General Chair, then founded MLCommons, which Mattson leads as President while working as a senior staff engineer at Google.1
Benchmarks
Mattson is first author of the 2019 MLPerf Training Benchmark paper, which set out rules and methods for measuring machine learning training performance across systems, and a co-author of the companion MLPerf Inference Benchmark paper.23
Mattson also co-authored MLCommons' work on AI safety evaluation: the v0.5 AI Safety Benchmark in April 2024 and AILuminate v1.0, a benchmark of AI risk and reliability, in February 2025.45
Work
MLPerfPublished research
Founding General Chair of the MLPerf consortium and first author of the 2019 MLPerf Training Benchmark paper; co-author of the MLPerf Inference Benchmark paper.123
AILuminatePublished research
Co-author of the MLCommons papers introducing the v0.5 AI Safety Benchmark in 2024 and AILuminate v1.0, its AI risk and reliability benchmark, in 2025.45
Career timeline
Oct 2, 2019
First-authored the MLPerf Training Benchmark paper.2
Nov 6, 2019
Co-authored the MLPerf Inference Benchmark paper.3
Apr 18, 2024
Co-authored the paper introducing v0.5 of the MLCommons AI Safety Benchmark.4
Feb 19, 2025
Co-authored the paper introducing AILuminate v1.0, the MLCommons AI risk and reliability benchmark.5
Other documented roles
Roles the sources document but that are not confirmed as current.
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- David KanterAlso at MLCommons
- Ajeya CotraEvaluation and benchmarks
- Abigail SeeAlso from Stanford
- Aylin CaliskanAlso from UW
- Abubakar AbidAlso from Stanford
- Beth BarnesEvaluation and benchmarks
- Albert GuAlso from Stanford
- Collin BurnsSafety and alignment
- Ali FarhadiAlso from UW
- Dan HendrycksEvaluation and benchmarks
- Andrej KarpathyAlso from Stanford
- David StutzSafety and alignment
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