We are excited to announce new tools and improvements that enable customers to reduce the time from days to hours to deploy machine learning (ML) models including foundation models (FMs) on Amazon SageMaker for Inference at scale . This includes a new Python SDK library that simplifies the process of packaging and deploying a ML model on SageMaker from seven steps to one with an option to do local inference. Further, Amazon SageMaker is offering new interactive UI experiences in Amazon SageMaker Studio that will help customers quickly deploy their trained ML model or FMs using performant and cost-optimized configurations in as few as three clicks.
Source:: Amazon AWS