Advanced CSI-FUSE Filesystem for AI/ML Data Management in Kubernetes
summary
Compares two concrete approaches: CSI-FUSE (mounts cloud object stores as local filesystems) and an etcd-backed FSB (a lightweight Python filesystem API implemented by S3/GCS vendors). Claims Alluxio-like distributed caching yields Alluxio distributed cache performance: ~5× faster than S3FS FUSE and >10× vs direct boto3 in benchmarks, cuts data-loader time from 82% to 1% and raises GPU utilization from ~17% to 93%. Notes tradeoffs: FUSE needs extra containers, privileges and CPU/memory; FSB is simpler to implement and uses etcd for worker membership and consistent-hash based reads with fallback to origin storage.
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chapters (7)
- 0:00AI data management overview
- 1:25CSI file system solution
- 3:58Distributed caching benefits
- 5:26Etcd-based file system (FSB)
- 6:15Cloud-native caching design
- 13:15Real-world usage with Ray
- 17:48Closing remarks
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