Tag I/O Optimization

Understanding FanStore: The Future of Optimized Deep Learning I/O for Scalable Metadata Management

As deep learning (DL) applications continue to grow exponentially, researchers and engineers grapple with the heavy input/output (I/O) workloads they create on computer clusters. The recent introduction of FanStore—a transient runtime file system—attempts to tackle this issue head-on. This innovative… Continue Reading →

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