Storage is the New Bottleneck for GPU Clusters
Long_Gift8575 · reddit · 2026-07-13
This Reddit discussion highlights that storage, not compute, has become the new bottleneck for training clusters.
The consensus from an AI infrastructure meetup includes:
- Many GPU clusters sit idle because storage cannot feed data fast enough
- This issue is particularly pronounced in large-scale, unstructured data scenarios
- Legacy NAS or general-purpose storage often fails to deliver the required throughput for training
The post also mentions shifting to storage platforms optimized for high-throughput S3 access, such as Cloudian HyperStore and VAST Data. The author is looking for definitive solutions rather than temporary workarounds.
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