The MLPerf Training benchmark suite comprises full system tests that stress models, software, and hardware for a range of machine learning (ML) applications. The open-source and peer-reviewed ...
MLPerf Training v4.0 also introduces a graph neural network (GNN) benchmark for measuring the performance of ML systems on problems that are represented by large graph-structured data, such as those ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons® announced new results from two industry-standard MLPerf™ benchmark suites: MLPerf Training v3.1 The MLPerf Training benchmark suite comprises full ...
SAN FRANCISCO, Aug. 04, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons® announced results for its industry-standard MLPerf® Storage v2.0 benchmark suite, which is designed to measure the performance of ...
MLCommons, a group that develops benchmarks for AI technology training algorithms, revealed the results for a new test that determines system speeds for training algorithms specifically used for the ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons ® announced new results for the MLPerf ® Training v4.0 benchmark suite, including first-time results for two benchmarks: LoRA fine-tuning of LLama 2 ...
Today, MLCommons announced new results from two MLPerf benchmark suites: the MLPerf Training v3.1 suite, which measures the performance of training machine learning models; and the MLPerf HPC v.3.0 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback