The correct choice is Amazon SageMaker JumpStart. It provides a catalog of prebuilt foundation models and guided workflows to deploy them rapidly with minimal setup and to expose the model through a private endpoint inside your team VPC.

Amazon SageMaker JumpStart supplies deployment templates and example artifacts that let you select a foundation model and launch a real time endpoint quickly. The JumpStart workflows automate model selection and common configuration steps and they support configuring the endpoint networking to use your subnets and security groups so the endpoint can be private to your VPC. This combination of a model catalog and guided deployment is what enables a rapid private deployment in the stated time frame.

Amazon SageMaker endpoints are the hosting and inference mechanism that run models in SageMaker but they do not include a built in catalog of foundation models or the guided deployment templates that JumpStart provides. Using only Amazon SageMaker endpoints requires you to bring or train a model and then configure the endpoint which increases setup time and effort.

Amazon Personalize is a managed service focused on personalization and recommendation use cases and it is not a general foundation model deployment solution for arbitrary models inside a VPC.

PartyRock, an Amazon Bedrock Playground is an educational sandbox and it is not intended for VPC integrated private inference or production deployments. That makes it unsuitable when the requirement is a private team endpoint inside a VPC.

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