Fuse is 95% cheaper and 10x faster than NFS
11 days ago
- #AI Deployment
- #Cloud Storage
- #Model Weights
- High-performance model weight storage and distribution is critical for AI deployments.
- Two main architectural approaches: NFS-based solutions and FUSE-based solutions with intelligent caching.
- NFS provides centralized storage with single source of truth and simple updates.
- FUSE offers lazy loading, local caching, and tiered storage strategies.
- Scalability comparison: NFS scales vertically; FUSE scales horizontally with better performance under concurrent loads.
- Operational cost: NFS has higher upfront and maintenance costs; FUSE is pay-as-you-go with minimal overhead.
- Cloud deployment details for NFS and FUSE solutions across AWS, GCP, and Azure.
- Cost impact: FUSE cuts storage costs by 95% compared to NFS.
- Performance: FUSE outperforms NFS during scale-out events with better aggregate throughput.
- Practical steps for deploying FUSE solutions on major cloud platforms.
- Future of FUSE: Need for speed, POSIX compliance, and intelligent optimization for ML workloads.