Phase 17 · MLOps & Model Deployment

Topics

Batch vs Real-time Inference

Part of the AI Engineer Roadmap.

Summary

Batch inference processes large volumes of data on a schedule; real-time inference responds to individual requests instantly — the choice shapes your entire serving architecture.

How to Learn This

  • 1Identify which of your projects genuinely need real-time inference vs. could run in batch.
  • 2Learn the cost and latency trade-offs between the two approaches.
  • 3Build a small batch inference job and a small real-time endpoint to feel the difference directly.
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