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Optimizing cost and latency with Amazon Bedrock prompt caching.

AWS Machine Learning BlogCompany announcement·
AI brief

Amazon Bedrock prompt caching can reduce input token costs by up to 90% when the same context is repeatedly sent to foundation models, with the post covering six practical scenarios using the Converse API.

Why it matters: It offers a way to lower cost and latency for workloads that reuse the same context across repeated model calls.

Written by AI from AWS Machine Learning Blog's published text.

Source

“Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models.”
AWS Machine Learning Blog, 15 Sept 2026, 16:18.

Published by the organisation it describes; treat claims as first-party statements.

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