Understanding Amazon Bedrock model lifecycle
Amazon AWS AI Blog / 4/10/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- The post explains how to manage foundation model (FM) transitions in Amazon Bedrock to keep AI applications running as models evolve.
- It outlines three Bedrock model lifecycle states and what they imply for availability and migration planning.
- It describes how to use an extended access feature to plan migrations more safely before fully switching to newer models.
- It provides practical strategies to transition applications to newer models with minimal or no disruption to operations.
This post shows you how to manage FM transitions in Amazon Bedrock, so you can make sure your AI applications remain operational as models evolve. We discuss the three lifecycle states, how to plan migrations with the new extended access feature, and practical strategies to transition your applications to newer models without disruption.
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