产品
也叫：SageMaker
AWS 提供的机器学习服务，支持模型训练和部署。
最近变化
2026-06-08 · AWS 使用 concrete-ml 实现 FHE 推理，支持多种模型并兼容 scikit-learn API。
Amazon SageMaker 被反复提及时，通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。
End-to-end encrypted ML inference with Amazon SageMaker AI and FHE
AWS Machine Learning Blog · 8.5 分
Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart
AWS Machine Learning Blog · 8.5 分
Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI
AWS Machine Learning Blog · 8.5 分
已收录 3 篇与「Amazon SageMaker」相关的 AI 资讯和分析。
AWS uses Amazon SageMaker AI and fully homomorphic encryption (FHE) to perform end-to-end encrypted ML inference, ensuring data remains encrypted during cloud processing.
入选理由：AWS 使用 concrete-ml 实现 FHE 推理，支持多种模型并兼容 scikit-learn API。
Fundamental's Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart, enabling accurate predictions from structured data in days.
入选理由：NEXUS is a foundation model developed by Fundamental for tabular data prediction.
The EU AI Act introduces new compliance requirements for fine-tuning large language models (LLMs), and Amazon SageMaker AI provides the FLOPs Meter tool to help users determine their compliance status and generate audit-ready documentation.
入选理由：EU AI Act规定，如果微调消耗的计算资源超过原训练资源的30%，则需承担GPAI模型提供商的合规义务。
与「Amazon SageMaker」经常一起出现的 AI 术语。
💡 想追踪「Amazon SageMaker」的长期趋势？去 实体雷达 · Amazon SageMaker 查看详细分析和跨材料问答。
