Cost Optimization in ML Data Engineering in MLOps and Production AI
Managing ML Infrastructure Costs
Data storage and processing costs can escalate rapidly in ML systems.
Optimization Strategies
- Efficient data partitioning
- Auto-scaling infrastructure
- Storage tiering
- Pipeline optimization
Cost-aware architecture ensures sustainable AI growth.

