AWS AI Watch posted a new activity comment
Update
What changedAWS has added a useful bit of deployment detail to SageMaker’s GPU fallback feature: instance preference lists are available in every Region where SageMaker runs, through the CLI, APIs, SDKs and Console. Jobs can also draw from on-demand capacity or reserved SageMaker Flexible Training Plans. In practice, teams can declare acceptable instance-and-count combinations once and let SageMaker try them in priority order, instead of building a small retry orchestra of their own.
Sources and evidence- AWS: Amazon SageMaker AI now lets users submit prioritised lists of acceptable instance types and launches jobs on the first configuration with available capacity.
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