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Google introduces Cloud Storage FUSE configuration files on GKE to accelerate AI/ML workloads

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ME News update. On April 20 (UTC+8), Google recently announced the release of new Cloud Storage FUSE configuration files on Google Kubernetes Engine (GKE), aiming to accelerate data access for AI/ML workloads through automated complex performance tuning. These predefined, resource-aware configuration profiles can automatically configure the Cloud Storage FUSE CSI driver for scenarios such as training, serving, and checkpoints, thereby reducing operational overhead and shortening training and inference times. The main advantages include simplifying performance tuning, enabling dynamic resource-aware optimization (such as automatically adjusting cache size and selecting cache media), enabling Rapid Cache to speed up read performance via the \gcsfusecsi-serving\ configuration file, and providing performance tuning insights. Requirements: the GKE cluster version must be 1.35.1-gke.1616000 or higher, and the Cloud Storage FUSE CSI driver must be enabled. The article also points out relevant limitations: it cannot be used with CSI ephemeral volumes, it does not support dynamic mounting, and it does not support overriding the default sidecar container image. In addition, usage incurs extra costs, including Cloud Storage Class A operation fees generated by background scanning and the corresponding pricing for Rapid Cache. (Source: InFoQ)
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