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 MLCommons industry group today detailed an upgraded version of MLPerf HPC, its benchmark suite for measuring how fast a supercomputer can train artificial intelligence models. The group, which is ...
While nothing can beat the notoriety of the long-standing LINPACK benchmark, the metric by which supercomputer performance is gauged, there is ample room for a more practical measure. It might not ...
CHATSWORTH, Calif.--(BUSINESS WIRE)--DDN®, the world’s leader in AI and data intelligence solutions, today announced that it has secured the #1 position against its competitors on the IO500 ...
TOKYO, Nov 19, 2020 - (JCN Newswire) - - Fujitsu, the National Institute of Advanced Industrial Science and Technology (AIST), and RIKEN today announced a performance milestone in supercomputing, ...
As a leader in high performance computing, Lenovo continually supports the Standard Performance Evaluation Corporation (SPEC) benchmarks, that would help customers make better-informed decisions for ...
TOKYO, Nov 18, 2021 - (JCN Newswire) - - Fujitsu and RIKEN today announced that the supercomputer Fugaku took the first place for the CosmoFlow training application benchmark (1), one of the key ...
ANSYS Inc., taking its cue from the growing number of companies adopting high-performance computers to conduct more complex simulation studies, has come out with a new benchmarking suite to assist in ...
Every year at the Supercomputing Conference (SC) an unofficial theme emerges. For the last two years, machine learning and deep learning were focal points; before that it was all about data-intensive ...
The global High-Performance Computing (HPC) market size was US$ 38.0 billion in 2021. The global High-Performance Computing (HPC) market is forecast to grow to US$ 57.9 billion by 2030 by growing at a ...
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 ...
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