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MLPerf™ Inference v2.1 with NVIDIA GPU-Based Benchmarks on Dell PowerEdge Servers
Introduction What is new in MLPerf Inference v2.1? Growth of MLPerf Inference as a benchmark
Summary
Dell results Notable results Highlighting performance scores System performance details PowerEdge server, GPU, and Software specifications Performance improvements Conclusion and Key Takeaways Acknowledgment References

Summary

Home > AI Solutions > Artificial Intelligence > White Papers > MLPerf™ Inference v2.1 with NVIDIA GPU-Based Benchmarks on Dell PowerEdge Servers > Summary

Summary

  • MLPerf has emerged into an industry-standard benchmark for deep learning workloads. The number of interested submitters and submissions are growing. This round of submission establishes a new record with over 5,300 performance results and 2,400 power measurement results. These results show a thirty percent and nine percent improvement in submissions respectively for performance and power compared to the MLPerf Inference v2.0 round.

    While MLPerf not only provides a way to compare different systems like-to-like, it also helps customers to refer to performance-optimized code from vendors and OEMs. These resources are another reason that supports for the growth of MLPerf as an industry standard benchmarking platform.