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 ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

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, Nov. 14, 2024 — MLCommons has announced new results for the MLPerf Training v4.1 benchmark suite, including several preview category submissions using the next generation of accelerator ...

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 ...

SAN FRANCISCO, June 04, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons ® announced new results for the MLPerf ® Training v5.0 benchmark suite, highlighting the rapid growth and evolution of the field of AI ...

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 ...