云服务器 ECS机器学习训练的相关内容

阿里云文档 2026-05-21

如何训练GPT-2模型并生成文本

本文介绍如何使用GPU云服务器，使用Megatron-DeepSpeed框架训练GPT-2模型并生成文本。

阿里云文档 2026-05-21

安装和使用Deepytorch Training提升训练加速能力

Deepytorch Training是阿里云自研的AI加速器，面向传统AI和生成式AI场景，在模型训练过程中，可提供显著的训练加速能力。本文主要介绍安装并使用Deepytorch Training的操作方法。

阿里云文档 2026-04-21

使用MaxCompute数据训练EasyRec模型-开源大数据平台 E-MapReduce-阿里云

本文为您介绍如何在Data Science集群读取MaxCompute的数据，进行EasyRec模型训练。

问答 2025-10-23 来自：开发者社区

阿里云ECS中哪些实例规格适合用于机器学习训练？需结合训练任务的规模（如小模型调参 vs 大模型分布式训练）、是否依赖GPU加速（如选用gn7i、gn7或ga1等GPU实例）、显存与显卡型号（如A10、V100、A100）、CPU与内存配比、存储性能（如ESSD云盘）及网络吞吐能力进行综合评估。对于预算有限的实验性项目，是否有性价比更高的入门级GPU实例？如何在训练效率、成本控制和扩展性之间做出....

阿里云文档 2025-02-13

使用DeepNCCL加速模型的分布式训练或推理性能

DeepNCCL是阿里云神龙异构产品开发的用于多GPU互联的AI通信加速库，能够无感地加速基于NCCL进行通信算子调用的分布式训练或多卡推理等任务。开发人员可以根据实际业务情况，在不同的GPU云服务器上安装DeepNCCL通信库，以加速分布式训练或推理性能。本文主要介绍在Ubuntu或CentOS操作系统的GPU实例上安装和使用DeepNCCL的操作方法。

阿里云文档 2024-05-16

Deepytorch Training（训练加速）介绍、优势及特性

Deepytorch Training是阿里云自研的AI训练加速器，为传统AI和生成式AI场景提供训练加速功能。本文主要介绍Deepytorch Training在训练加速上的概念、优势及特性等。

文章 2022-10-26 来自：开发者社区

通过阿里云ECS实现机器学习简单训练

自我介绍22级计算机研究生,从同学处了解到在校学生可以通过"飞天加速计划"申请服务器,决定通过服务器搭建机器学习环境,方便远程训练简单模型.搭建方法通过飞天计划,通过了解云服务相关理论完成测试,获得阿里云服务器体验权限.初步了解和熟悉阿里云管理操作,大致了解每个功能模块.在了解之后,发现目前没有可以一键部署机器学习环境的功能,于是考虑选择哪个官方环境.在云服务管理工作台->概览->我....

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更新时间 2025-10-28 18:09:07

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