产品
别名：SageMaker
AWS 提供的机器学习服务，支持模型训练和部署。
已跟踪 3 条高相关材料
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。
为什么值得关注
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
AWS 使用 Amazon SageMaker AI 和全同态加密（FHE）实现端到端加密的机器学习推理，确保数据在云中处理时始终加密。
Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart
AWS Machine Learning Blog · 8.5 分
Fundamental's Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart, enabling accurate predictions from structured data...
Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI
AWS Machine Learning Blog · 8.5 分
EU AI Act对大型语言模型微调提出了新的合规要求，Amazon SageMaker AI提供了FLOPs Meter工具帮助用户确定合规状态并生成审计文档。
已收录 3 条与 Amazon SageMaker 相关的内容，按评分排序。
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。
