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Hi,
Did you envision SageMaker Managed Warm Pools for training to keep your provisioned infra warm and be able to reuse it?
See https://docs.aws.amazon.com/sagemaker/latest/dg/train-warm-pools.html
Another option to explore would be Selective Execution for SageMaker Pipelines: https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines-selective-ex.html
Finally, you can also cache Pipelines steps: https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines-caching.html
Although not direct answer to your question about instance reuse, those capabilities will help in reducing global pipeline execution time when applicable to your use case.
Hope it helps! Didier
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Thank you for answering. But my confuse is: when a processing data with separate steps: