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Amazon Bedrock 和 Amazon SageMaker 有什么区别？

并排比较 Amazon Bedrock 和 Amazon SageMaker — 功能、定价和理想使用场景，以帮助您选择合适的产品。

并排比较

比较
Amazon Bedrock
Amazon SageMaker
类别

人工智能、基础模型平台

人工智能、机器学习平台
说明

用于构建生成式人工智能应用程序和代理的端到端平台

适用于所有数据、分析和人工智能的中心
最适用于
  • 生成式人工智能应用程序
  • 文本生成
  • 聊天机器人
  • 图像生成
  • RAG 应用程序
  • 机器学习模型训练
  • MLOps
  • 计算机视觉
  • NLP
  • 预测性分析
主要功能
  • 多种基础模型
  • 知识库
  • 代理
  • 护栏
  • 微调
  • SageMaker Studio
  • 内置算法
  • AutoML
  • 模型监控
  • 特征存放区
定价模式

按输入/输出令牌或预置吞吐量付费

为 ML 实例 + 存储 + 数据处理付费
免费套餐

否

是
专家点评

“Bedrock 是实现生产生成式人工智能的最快途径。您无需管理基础设施即可访问来自 Anthropic、Meta、Mistral和 Amazon 的模型。知识库处理 RAG、护栏执行内容策略和代理链工具调用；全部无服务器。”
— Oleksii Bebych, re:Post 顶级贡献者 [个人资料]

“SageMaker 适用于需要完全控制训练和部署的团队。您可以选择算法、数据、实例类型和超参数。与 Bedrock 相比，SageMaker 以复杂度换取灵活性：它支持对任意模型进行微调，而不仅限于基础模型。”
— Riku Kobayashi，re:Post 顶级贡献者 [个人资料]
产品页面

了解有关 Amazon Bedrock 的更多信息 »

了解有关 Amazon SageMaker 的更多信息 »

何时使用 Amazon Bedrock 或 Amazon SageMaker

在以下情况下使用 Amazon Bedrock：

  • 生成式人工智能应用程序
  • 文本生成
  • 聊天机器人
  • 图像生成
  • RAG 应用程序

了解有关 Amazon Bedrock 的更多信息 »

在以下情况下使用 Amazon SageMaker：

  • 机器学习模型训练
  • MLOps
  • 计算机视觉
  • NLP
  • 预测性分析

了解有关 Amazon SageMaker 的更多信息 »

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