MLCommons releases new benchmarks to boost ML performance

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Understanding the performance characteristics of different hardware and software for machine learning (ML) is critical for organizations that want to optimize their deployments. One of the ways to understand the capabilities of hardware and software for ML is by using benchmarks from MLCommons -- a multi-stakeholder organization that builds out different performance benchmarks to help advance the state of ML technology. The MLCommons MLPerf testing regimen has a series of different areas where benchmarks are conducted throughout the year.