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适用于人工智能_机器学习、分析和高性能计算工作负载的高性能存储.pdf

上传人: 明**** 编号:1013029 2025-12-21 46页 682.40KB

1、 2025,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.Aditi GargSr Product ManagerAmazon FSxAWS Mark RoperPr Software EngineerAmazon FSxAWSManish Talrej

2、aPr Product ManagerAmazon S3AWSHigh-performance storage for AI/ML,analytics,and HPC workloadsS T G 3 3 6 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Interactive data analytics Real-time advertisingMedia content workloadsHigh performance computing(HPC)Machine learning and artif

3、icial intelligenceUse casesFinancial modelingExample workloads 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Why fast storage mattersData accessIdeal scalingStorage bottleneckCompute instancesData access 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Example

4、customer journeys to the cloudS3 S3 data data l lakeakecustomerscustomersLift&shift file system customers 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Example customer journeys to the cloudS3 S3 data data l lakeakecustomerscustomersLift&shift file system customers 2025,Amazon W

5、eb Services,Inc.or its affiliates.All rights reserved.File storage offers intuitive data access for researchers and developersFAMILIAR INTERFACE POSIX PERMISSIONSCONSISTENT DATA ACCESS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon FSx for LustreFULLY MANAGEDFULLY ELASTICF

6、AST 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Automatic infrastructure monitoring and replacementUnified support experienceTested and operated at an unprecedented scaleDesigned to optimize AWS resourcesAutomatic and secure backupsAPI for infrastructure-as-codeFully managedFu

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根据报告的内容,全文主要介绍了Amazon FSx for Lustre和Amazon S3的性能优势及其在数据存储和计算中的应用。以下是关键点: 1. **Amazon FSx for Lustre**: - 全托管、弹性、快速:提供高达1 TB/s的聚合吞吐量和500K+的元数据IOPS。 - 智能分层:从SSD到归档层,降低冷数据成本至$0.005/GB-mo。 - 优化GPU性能:提升GPU利用率,加速算法实验和机器学习模型训练。 2. **Amazon S3**: - 高性能存储:适用于AI/ML、分析和HPC工作负载。 - S3存储类选择:针对不同访问模式和性能需求提供最经济的存储。 - S3 Express One Zone:提供单数毫秒级访问,适用于性能关键型应用。 3. **案例研究**: - Shell利用Amazon FSx for Lustre和Amazon EC2集群扩展其本地计算能力。 - Meta使用Amazon S3 Express One Zone支持其大规模训练工作负载。 4. **集成与优化**: - 与PyTorch、Apache Spark、Pandas等工具集成。 - 通过AWS Common Runtime提高网络接口的连接分布和实例吞吐量。
AI加速利器?" 速度与成本双丰收?" FSx与S3如何助力?"
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