Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. It helps data scientists and developers prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML.
In 2021, AWS announced the integration of NVIDIA Triton Inference Server in SageMaker. You can use NVIDIA Triton Inference Server to serve models for inference in SageMaker. By using an NVIDIA Triton container image, you can easily serve ML models and benefit from the performance optimizations, dynamic batching, and multi-framework support provided by NVIDIA Triton. Triton helps maximize the utilization of GPU and CPU, further lowering the cost of inference.
In some scenarios, users want to deploy multiple models. For example, an application for revising English composition always includes several models, such as BERT for text classification and GECToR to grammar checking. A typical request may flow across multiple

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