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 ...

For those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have dominated the competition yet again. This includes chart-topping performance on ...

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 ...

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 ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

As the hype and momentum behind generative AI continue to grow, so too does the performance of the underlying systems that enable machine learning (ML) training. The big new inclusion with MLPerf ...

San Francisco, June 27 (Reuters) - MLCommons, a group that develops benchmark tests for artificial intelligence (AI) technology, on Tuesday unveiled results for a new test that determines system ...

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 ...