April 5, 2023 — MLCommons, the leading open AI engineering consortium, announced today new results from the industry-standard MLPerf Inference v3.0 and Mobile v3.0 benchmark suites, which measure the performance ...Full Article
Today, more than a quarter of organizations report full‑scale deployment of five or more types of AI applications. And the market is booming, with anticipated 40.2% compound annual growth ...Full Article
MLCommons today released its latest MLPerf inferencing results, with another strong showing by Nvidia accelerators inside a diverse array of systems. Roughly four years old, MLPerf still struggles to ...Full Article
MLCommons today released its fifth round of MLPerf training benchmark results and Nvidia GPUs again dominated the rankings, but competitors were not taking those results sitting down. One of ...Full Article
For several years, AI model building has been centered on creating better models to further push the envelope of increased performance and broader AI capabilities in enterprise computing and ...Full Article
Nvidia again dominated the latest round of MLPerf inference benchmark (v 1.1) results when they were unveiled Sept. 23 (Thursday), sweeping the top spots in the closed data center ...Full Article
While Nvidia again dominated the latest round of MLPerf training benchmark results, the range of participants has expanded. Yes, Google’s forthcoming TPU v4 performed well, but competitors also shined. ...Full Article
As the MLPerf benchmark emerges as an industry standard for measuring the performance of machine learning models, its creators said they will phase out the foundational DAWNBench metric. Stanford ...Full Article
MLPerf.org, the young AI-benchmarking consortium, has issued the first round of results for its inference test suite. Among organizations with submissions were Nvidia, Intel, Alibaba, Supermicro, Google, Huawei, Dell ...Full Article
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