Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference
CAT
1 min read
Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. This innovation allows you to scale your models faster, observing up to 56% reduction in latency when scaling a new model copy and up to 30% when adding a model copy on a new instance. In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs).
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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference
