seniorMLOps
What is cost optimization in MLOps infrastructure?
Updated May 17, 2026
Short answer
Cost optimization reduces compute and storage expenses in ML systems.
Deep explanation
It includes using spot instances, autoscaling, model compression, batching inference, and selecting appropriate hardware (CPU vs GPU). Efficient pipeline design significantly reduces cloud costs.
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