Which AWS offering can help an AI team rapidly deploy and use a foundation model inside the team's VPC?

Amazon SageMaker JumpStart provides pre-trained foundation models that can be deployed with a few clicks directly into a SageMaker endpoint within your VPC. This allows AI teams to quickly experiment with and utilize these models without extensive setup. Amazon Personalize is a machine learning service for building real-time recommendations, not for deploying foundation models. PartyRock is a playground for experimenting with Amazon Bedrock models, but it's not designed for deploying models into a team's VPC. While Amazon SageMaker endpoints are used to host models, JumpStart specifically facilitates the rapid deployment of pre-trained foundation models to these endpoints.