MIT Lincoln Laboratory's Supercomputing Center has developed tools to reduce data center energy use by power-capping hardware and by improving the efficiency with which models are trained in some cases, their techniques reduce energy use by 80%.
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The MIT Lincoln Laboratory Supercomputing Center has released a dataset containing more than a million jobs run on its TX-GAIA supercomputer, with the goal of using this data to feed AI research into optimizing data center resources. The team has kicked off the MIT Datacenter Challenge to mobilize this research.
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