其次,针对AI/ML工作负载的优化已成为AWS存储战略的重中之重。FSx for Lustre智能分层存储类的推出 1 和对Mountpoint for S3的增强 8 都明确指向为机器学习提供高性能数据访问。这些并非通用型改进,而是旨在解决AI/ML从业者在存储瓶颈和成本控制方面所面临特定挑战的定向解决方案。这表明AWS正积极确保其存储产品在快速增长的AI/ML市场中保持竞争力和吸引力。
B. MicrosoftAzure
1. 近期存储理念概述
Azure正致力于增强其存储平台,以支持人工智能和企业云的广泛采用。其核心主题包括平台弹性、面向AI的差异化能力、针对关键任务工作负载的优化以及强大的数据管理功能 2。其核心服务包括Azure Blob Storage(对象存储)、Azure Disk Storage(块存储)和Azure Files(文件存储)9。
2. 主要更新 (2025年5月及近期)
AzureStorage Actions – 正式发布 11:
一个完全托管的无服务器平台,用于大规模自动化Azure Blob和Data Lake Storage的数据管理任务。
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