加速汽车创新:机器学习与高性能计算最佳实践.pdf

编号:1013350 PDF 31页 642.16KB 下载积分:VIP专享
下载报告请您先登录!

加速汽车创新:机器学习与高性能计算最佳实践.pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.C M P 3 5 0Accelerating Vehicle Innovation:ML&HPC best practicesFrancesco Ruffino(he/him)Prin.HPC Specialist Solutions ArchitectAWSIngrid Torres Lopes(she/her)R&D Di

2、gitalization SpecialistToyota Motor Europe Quinten Schrevens(he/him)Sr Consultant AWS CloudDeloitte 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Agenda1.Running HPC and ML workloads on AWS2.Toyota use case3.Solution4.Project outcomes,lessons learnt and best practices5.Q&A 2025,

3、Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Running HPC and ML workloads on AWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.C

4、ost savingsWhat is it?Infrastructure cost savings/Best ROI on Software LicensesStaff productivityWhat is it?Efficiency improvement by function on a task-by-task basisOperational resilienceWhat is it?Benefit of improving SLAs and reducing unplanned outageTactical impactStrategic impactSustainabilityW

5、hat is it?Minimizing environmental impact of operationsBusiness agilityWhat is it?Deploying new features/applications faster and reducing errorsWhy are customers choosing AWS for HPC and ML?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.1.Lift and Shift2.Heterogeneous and Flexibl

6、e3.From traditional CAE to AI/ML-driven simulation4.GenAI for Smart SimulationsTypical HPC Customer journey 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.PerformanceSustainability1.Lift and ShiftUp to 70%For CFD simulationsUp to 95%Carbon footprint reductionComputeVirtualDesktop

友情提示

1、下载报告失败解决办法
2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
4、本站报告下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。

本文(加速汽车创新:机器学习与高性能计算最佳实践.pdf)为本站 (明日何其多) 主动上传,三个皮匠报告文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知三个皮匠报告文库(点击联系客服),我们立即给予删除!

温馨提示:如果因为网速或其他原因下载失败请重新下载,重复下载不扣分。
客服
商务合作
小程序
服务号
折叠