当前位置:首页 > 报告详情

在 AWS 上大规模训练高性能 AI 模型.pdf

上传人: 明**** 编号:1012812 2025-12-21 92页 1.25MB

1、A I M 3 6 5Train high-performing AI modelsat scale on AWSMichael OguikeSenior Technical Product ManagerAmazon Web ServicesTomonori ShimomuraPrincipal Solutions ArchitectAmazon Web ServicesDenis GoupilPrincipal Machine Learning EngineerRoblox 2025,Amazon Web Services,Inc.or its affiliates.All rights

2、reserved.AgendaThe need for training large AI modelsChallenges with training models at scaleHow SageMaker solves these challenges DemoCustomer success story from Roblox 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AI enabled features are becoming a necessity 2025,Amazon Web Ser

3、vices,Inc.or its affiliates.All rights reserved.AI enabled features are becoming a necessity 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AI enabled features are becoming a necessity 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AI enabled features are beco

4、ming a necessity 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AI enabled features are becoming a necessity 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Organizations using GenAI who also train or customize AI models to fit their use casehttps:/ 2025,Amazon

5、 Web Services,Inc.or its affiliates.All rights reserved.SageMaker was built for AI 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.SageMaker was built for AI 2017SageMaker Training jobs 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.SageMaker was built for AI 2

6、017SageMaker Training jobsFull ManagedAPI EphemeralclustersPay as you go 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.SageMaker was built for AI 2017SageMaker Training jobsFull ManagedAPI EphemeralclustersPay as you go2023Slurm&EKS orchestrationPersistentclustersGranular access

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
根据报告的内容,全文主要内容概括如下: - **AI模型训练需求增长**:随着AI功能的普及,训练和定制AI模型以满足特定需求成为组织的关键。 - **SageMaker平台介绍**:SageMaker是AWS专为AI构建的平台,提供全托管服务,支持大规模模型训练。 - **SageMaker关键特性**: - **计算资源**:提供多种GPU和加速器选项,包括按需、Spot和预留容量。 - **工作负载管理**:支持Slurm和Kubernetes,提供灵活的训练计划。 - **模型并行和数据并行**:支持分布式训练,以实现大规模模型参数和数据的处理。 - **高可用性和弹性**:通过自动节点替换、检查点和故障恢复机制提高系统的可靠性。 - **Roblox案例**:Roblox使用SageMaker进行大规模AI模型训练,展示了其在生产环境中的成功应用。 - **SageMaker HyperPod**:提供持久集群和高级功能,如自动节点替换和作业自动恢复。 - **2025年新增功能**:包括快速集群设置、1点击可观测性、智能故障恢复和分层检查点等。
"SageMaker如何助你高效训练AI?" "Roblox如何大规模应用AI?" "AI训练,成本与性能如何平衡?"
客服
商务合作
小程序
服务号
折叠