AWS 为 SageMaker AI 训练作业推出实例偏好列表
原标题：Announcing instance preference lists for Amazon SageMaker AI training jobs
AI 摘要
AWS 为 Amazon SageMaker AI 训练和 Processing 作业推出实例偏好列表功能，用户可在创建作业时按优先级指定最多五种可接受的实例类型。SageMaker 会按顺序自动评估并选择首个有可用容量的实例类型启动作业，无需手动重试脚本或轮询。该功能还支持与 Flexible Training Plans 预留容量集成，优先使用预留容量，不足时回退到按需实例，从而缩短等待时间、提高容量利用率。
正文节选
Announcing instance preference lists for Amazon SageMaker AI training jobs Getting access to the right GPUs when you need them is one of the biggest challenges in training or customizing AI models at scale. During peak demand periods, your preferred GPU may not be immediately available – and when your job is tied to one specific GPU configuration, the only option is to wait or manually try alternatives. This slows down experimentation and pulls engineering focus away from model development. What