谷歌云近日正式发布GKE云存储Fuse配置文件。这一创新方案专为自动化性能调优而设计，能够显著提升AI与机器学习工作负载的数据访问效率。
通过预设的性能优化配置，该功能可动态调整存储参数，消除传统手动调优的复杂性。用户无需深入理解底层存储架构，即可为关键任务实现低延迟、高吞吐量的数据流水线。
在AI模型训练场景中，该技术可将数据读取速度提升高达40%，有效减少GPU等昂贵计算资源的空闲等待时间。同时支持动态工作负载扩展，保障从实验环境到生产部署的全链路性能一致性。
目前该功能已向所有Google Kubernetes Engine用户开放，支持标准版和Autopilot两种集群模式。企业可结合自身AI工作流特点，选择预置的优化配置或创建自定义配置文件。
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