SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints

AWS Machine Learning blog published SageMaker Inference now supports Multi-Instance GPU to maximize GPU utilization for model endpoints. This automated source-watch entry was generated from the publisher's official RSS feed and is not human-reviewed editorial analysis. Source excerpt: Amazon SageMaker Inference now supports GPU partitioning with NVIDIA Multi-Instance GPU (MIG), which divides one GPU into hardware-isolated partitions so you can run a different model in each or take a right-sized fraction of a newer accelerator. This post shows how two optional API fields place one model per partition, and what we measured against a whole older GPU.

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