Wave Computing Joins Industry and Academic Leaders to Define Next-Generation Machine Learning Industry Benchmark
Summary
MLPerf aims to set a new standard for the AI industry by using real life scenarios, unlike many benchmarks used today which are typically based on outdated methodologies or biased to traditional hardware architectures.As the demand for AI grows, data scientists need a more reliable way to anticipate how their models and acceleration platforms will behave while performing tasks spanning natural language understanding to image recognition.The difference of seconds between predicted and actual results can mean millions of dollars in lost revenue opportunities for companies using AI in industries spanning retail, financial services and public cloud.By drawing on lessons from the 40-year history of computer benchmarking and leveraging some of the brightest minds in academia and industry, MLPerf will “close the gap” while enabling a fair comparison of competing algorithms and systems, and improving innovation in AI.Offering its solutions to customers globally, Wave Computing has been named Frost & Sullivan’s 2018 “Machine Learning Industry Technology Innovation Leader,” and has been recognized by CIO Application Magazine’s as one of the “Top 25 Artificial Intelligence Providers.”