Cloud Storage is a common choice for storing training data, models, and checkpoints for machine learning projects in Cloud Storage buckets. With Cloud Storage FUSE, you can take advantage of the scale, affordability, throughput, and simplicity that Cloud Storage provides, while maintaining compatibility with applications that use or require filesystem semantics. Cloud Storage FUSE also now offers caching, which provides up to 2.2x faster time to train and 2.9x higher training throughput, compared to native ML framework dataloaders.
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