GTC 2020: MLPerf: A Benchmark Suite for Machine Learning from an Academic-Industry Cooperative
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MLPerf: A Benchmark Suite for Machine Learning from an Academic-Industry Cooperative
David Kanter, Independent
The ML field requires systematic benchmarking that represents real-world uses and enables fair comparisons across different software and hardware platforms. MLPerf is a machine-learning benchmark standard, and suite, driven by the industry (50+ companies) and researchers (800+) at large. The suite comprises a set of key machine-learning training and inference workloads representing important production-use cases, ranging from image classification and object detection to recommendation. MLPerf has released two rounds of training results and a new inference benchmark suite.