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Customer workloads are highly varied, and it would be impossible to encapsulate all that nuance in a single benchmark. We chose the MLPerf for the GPU building blocks in this performance study, as MLPerf offers a range of different benchmarks and is popular among our customers.
MLPerf is a benchmarking suite focused on deep learning developed by the MLCommons community. The goal of this performance study was to build representative benchmarks to compare systems. The MLPerf Training benchmarks test the system in a range of different deep learning problem types. More information about MLPerf can be found on MLCommons and in our blogs featured in Dell Technologies documentation.