Achieve hyperscale performance for model serving using NVIDIA Triton Inference Server on Amazon SageMaker
Favorite Machine learning (ML) applications are complex to deploy and often require multiple ML models to serve a single inference request. A typical request may flow across multiple models with steps like preprocessing, data transformations, model selection logic, model aggregation, and postprocessing. This has led to the evolution of common
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Shared by AWS Machine Learning May 3, 2022