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AWS Deep Learning AMIs 和 AWS DL Containers 有什么区别？

并排比较 AWS Deep Learning AMIs 和 AWS DL Containers — 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
AWS Deep Learning AMI
AWS DL Container
类别

机器学习、开发环境

机器学习、容器映像
说明

使用适用于 EC2 的常用深度学习框架预配置亚马逊机器映像。

预先安装了深度学习框架的 Docker 映像，用于训练和推理。
最适用于
  • 深度学习开发
  • 模型训练
  • 研究
  • 原型制作
  • 容器化机器学习训练
  • ML 推理
  • 分布式训练
  • 适用于机器学习的 CI/CD
主要功能
  • 预安装的框架
  • GPU 优化型
  • Conda 环境
  • CUDA/cuDNN
  • 多操作系统支持
  • 预构建映像
  • ECS/EKS/SageMaker 支持
  • 多框架
  • GPU 优化型
  • ECR 托管
定价模式

不收取额外费用；为 EC2 实例付费

不收取额外费用；支付基础计算费用
免费套餐

是

是
专家点评

“Deep Learning AMIs 在经过优化的 NVIDIA 驱动程序上预装了 PyTorch、TensorFlow 和 MXNet。它们消除了框架安装和驱动程序兼容性问题。”
— Didier Durand，re:Post 顶级贡献者 [个人资料]

“Deep Learning Containers 是使用适用于 ECS、EKS 和 SageMaker 的机器学习框架预先构建的 Docker 映像。它们包括对 Inferentia 和 Trainium 等 AWS 硬件的优化。”
— Gary McLean，re:Post 杰出贡献者 [个人资料]
产品页面

了解有关 AWS Deep Learning AMI 的更多信息 »

了解有关 AWS DL Containers 的更多信息 »

何时使用 AWS Deep Learning AMIs 或 AWS DL Containers

在以下情况下使用 AWS Deep Learning AMIs：

  • 深度学习开发
  • 模型训练
  • 研究
  • 原型制作

了解有关 AWS Deep Learning AMI 的更多信息 »

在以下情况下使用 AWS DL Containers：

  • 容器化机器学习训练
  • ML 推理
  • 分布式训练
  • 适用于机器学习的 CI/CD

了解有关 AWS DL Containers 的更多信息 »

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