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English(EN) AWS Machine Learning: Distributed training with Ray Train DLCs and EFA on EKS https:// ai-news.ypetit.net/?a=1esohseb hmt&utm_source=mastodon&utm_medium=social&

AWS 通过新的 Ray Train DLC 简化分布式 AI 训练

AWS 发布了新的 Ray Train 深度学习容器 (DLC),旨在简化在 Amazon Elastic Kubernetes Service (EKS) 上的分布式 AI 模型训练。这个预构建的容器集成了 PyTorch、NCCL 和 EFA 等关键组件,用户无需手动组装和维护复杂的训练环境。该 DLC 作为单个单元进行测试并发布在 Amazon ECR Public 上,允许用户直接拉取而无需构建自定义镜像。这种方法通过提供一个现成的堆栈来利用 EFA 进行高速网络连接,从而简化了微调 Qwen2.5-1.5B 等大型语言模型的过程。 AI

影响 简化了分布式 AI 训练基础设施,可能加速模型开发和部署。

排序理由 这是关于一个简化 AI 模型训练基础设施的工具的产品公告,而不是核心 AI 模型发布或研究突破。

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AWS 通过新的 Ray Train DLC 简化分布式 AI 训练

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这是关于一个简化 AI 模型训练基础设施的工具的产品公告,而不是核心 AI 模型发布或研究突破。
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报道来源 [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Sunita Koppar ·

    Distributed training with Ray Train DLCs and EFA on EKS

    The Ray Train Deep Learning Container ships the full CUDA-through-EFA stack, so you build no image. This post walks through a reproducible sample that fine-tunes Qwen2.5-1.5B with PyTorch FSDP across eight GPUs on two EFA-enabled g6.12xlarge instances on Amazon EKS, using the con…

  2. Mastodon — mastodon.social TIER_1 English(EN) · ainews_direct ·

    AWS Machine Learning: Distributed training with Ray Train DLCs and EFA on EKS https:// ai-news.ypetit.net/?a=1esohseb hmt&utm_source=mastodon&utm_medium=social&

    AWS Machine Learning: Distributed training with Ray Train DLCs and EFA on EKS https:// ai-news.ypetit.net/?a=1esohseb hmt&utm_source=mastodon&utm_medium=social&utm_campaign=bot # AI # LLM # AWS