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David Kanter

Founder, board member and Head of MLPerf, MLCommons

  • Founder, board member and Head of MLPerf, MLCommons1

David Kanter is a founder, board member and the Head of MLPerf at MLCommons, where Kanter helps lead the MLPerf benchmarks for measuring machine learning system performance. Kanter has more than 16 years of experience in semiconductors, computing and machine learning, and co-authored the original MLPerf Training and Inference benchmark papers.123

At a glance

Current role
Founder, board member and Head of MLPerf
Company
MLCommons
Sector
Nonprofit
Work listed
1
Sources cited
3
Profile reviewed

Career

Kanter founded a microprocessor and compiler startup, was an early employee at Aster Data Systems, and has consulted for semiconductor and computing companies including Intel, NVIDIA, KLA, Applied Materials, Qualcomm and Microsoft. MLCommons lists Kanter as one of its founders and a member of its board.1

Benchmarks

As Head of MLPerf, Kanter helps lead the MLCommons benchmark suites. Kanter is a co-author of the 2019 MLPerf Training Benchmark paper and of the MLPerf Inference Benchmark paper, which describe how the suites measure training and inference performance across hardware and software systems.123

Work and contributions

  • MLPerf Published research

    Helps lead the MLPerf benchmarks as Head of MLPerf, and co-authored the 2019 MLPerf Training and MLPerf Inference benchmark papers.123

Timeline

  1. Co-authored the MLPerf Training Benchmark paper.2
  2. Co-authored the MLPerf Inference Benchmark paper.3

Other documented roles

Roles the sources document that are not confirmed as current.

  • Early employee, Aster Data Systems1

Where they work

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References

3 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. MLCommons leadership teamMLCommons · Official page · accessed Oct 21, 2026 · reviewed Oct 21, 2026
  2. MLPerf Training Benchmark (arXiv 1910.01500)arXiv · Paper · published Oct 2, 2019 · accessed Oct 21, 2026 · reviewed Oct 21, 2026
  3. MLPerf Inference Benchmark (arXiv 1911.02549)arXiv · Paper · published Nov 6, 2019 · accessed Oct 21, 2026 · reviewed Oct 21, 2026