Amazon Bedrock has introduced prompt caching, now generally available, to improve the performance and efficiency of generative AI applications.
With prompt caching, commonly used prompts and their responses are stored, reducing repeated computation and latency for future requests. This significantly accelerates response times, lowers costs, and boosts throughput for production-grade AI workflows.
Developers can toggle caching settings with simple API parameters, offering control and flexibility for inference tasks. This feature is particularly beneficial for high-volume use cases like chatbots, knowledge assistants, and content generation platforms, ensuring smoother, more responsive user experiences with minimized infrastructure overhead.
