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Which AWS feature is best for cost-effectively scaling when managing many multilingual models?
①Run a dedicated EC2 instance continuously for each language.
②Dynamically load models using SageMaker's multi-model endpoint.
③Download the model artifacts on Lambda each time and perform inference.
④Permanently deploy full-size replicas in each region.
⑤Consolidate models on an on-premises server.