☁️ Cloud & Databases

S3 Files: Axing the Copy Layer That's Bleeding Your ML Pipelines Dry

Every ML pipeline copying 100GB from S3 to EBS? That's 5-10 minutes of pure waste per run. S3 Files nukes it—but at what hidden cost?

Diagram showing S3 Files eliminating EFS copy layer in ML data pipeline

⚡ Key Takeaways

  • S3 Files eliminates download/upload steps in ML pipelines, saving minutes per 100GB job. 𝕏
  • Uses 'stage and commit' sync (like git), tolerating 30-60s delays for real NFS + S3 semantics. 𝕏
  • Cannibalizes EFS; AWS wins on slimmer object storage economics. 𝕏
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Originally reported by Dev.to

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