For example, GShard and Switch Transformer are two of the largest machine learning models we’ve ever created, but because both use sparse activation, they consume less than 1/10th the energy that you’d expect of similarly sized dense models — while being as accurate as dense models.
https://blog.google/technology/ai/introducing-pathways-next-generation-ai-architecture/
2021 BRN Discussion, page-28082
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