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GPU partitioning lets cloud users pack more models per accelerator and cut inference cost.
Amazon SageMaker Inference now supports Nvidia Multi-Instance GPU, splitting one GPU into isolated partitions so users can run separate models or right-sized fractions of a newer accelerator per endpoint.
Read it at AWS Machine Learning →
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