Tech consortium including Google, Microsoft and more sets benchmarks for AI performance

The MLPerf consortium, which was founded in 2018 and counts more than 40 leading technology companies and research universities as members, released a suite of benchmarks on June 24 to measure and accelerate the performance of artificial intelligence solutions.

MLPerf Inference v0.5 provides a framework for assessing the performance and power efficiency of models using machine learning for a variety of applications, including autonomous driving and natural language processing, and in a variety of formats, such as smartphones, edge servers and cloud computing platforms. By measuring the relevance of these models' results to real-world uses, the benchmark suite is expected not only to standardize AI performance across organizations, but also accelerate further innovation.

The suite was developed over the course of 11 months, with input from the consortium's many high-profile members. These include leaders from Google, Microsoft, Intel, Facebook, Cisco and HP, as well as Harvard University, Stanford University and the University of California Berkeley.

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