A company building an editorial assistant has low usage in its pilot, cannot predict future traffic, and wants to minimize costs. Which deployment option best fits these constraints?

Amazon Bedrock with On-Demand Throughput is the best fit because it allows the company to pay only for the inferences they make, aligning perfectly with low and unpredictable usage and the goal of minimizing costs. Provisioned Throughput would incur costs even during low usage periods, making it less cost-effective. GPU-powered Amazon EC2 instances require managing infrastructure and scaling, which adds operational overhead and potential for wasted resources given unpredictable traffic. Amazon SageMaker JumpStart offers pre-trained models but still requires managing underlying infrastructure and scaling, which is more complex and potentially more expensive than Bedrock's serverless, on-demand model for this use case.