consortium, has unveiled the latest results of its MLPerf Training community benchmark. This benchmark is comprehensive, testing the interplay of machine learning models, software, and hardware systems. There are two categories of results: closed and open. Closed submissions use the same reference model, facilitating a straightforward comparison of performance. In contrast, open submissions allow a variety of models, showcasing diverse capabilities. In the realm of image classification, Google's preview system, tpu-v4-6912, stands out. It features 1728 AMD Rome processors paired with 3456 TPU accelerators, achieving the be