AIHacker Noonabout 6 hours ago
Parallel Orchestration Patterns for ML Workloads in Production
11 min read
Parallel fan-out/fan-in orchestration cuts ML pipeline latency but introduces consistency, partial failure, and straggler issues. A barrier releases results only when all models finish, and input snapshots prevent version mismatches. Per-model retries and explicit criticality configuration handle failures in production.
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