Ditch Blob Stores: Distributed Model Training with libp2p
jon_durbin · x · 2026-08-07
Mitsuhiko shared practical advice on model training architecture, arguing against using centralized blob stores (like S3/R2) for synchronization due to bottlenecks and single points of failure.
His recommended best practices include:
- Role Separation: Deploy sync-only, non-GPU backbone nodes globally, and simply have training nodes push data to this layer.
- Network Traversal: Avoid using listening sockets on container nodes that might be behind firewalls or NAT.
- Protocol Choice: Compared to default QUIC/UDP, libp2p's TCP transport is significantly more reliable across different cloud providers, networks, and countries.
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