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 ...

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 ...

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 ...

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 ...

Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...

The data highlight the growing risk of employee turnover, an AI-driven jobs reshuffle, and a widening gap between HR intent and employee reality. SAN FRANCISCO, Dec. 2, 2025 /PRNewswire/ -- TalentLMS, ...

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 ...

The MLPerf Training benchmark suite comprises full system tests that stress machine learning (ML) models, software, and hardware for a broad range of applications. The open-source and peer-reviewed ...