Choosing Between Batch and Real-Time Inference in ML
When deploying machine learning models into production, one of the most consequential architectural decisions you’ll make is choosing between batch and real-time inference. This fundamental choice affects everything from system architecture and cost structure to user experience and model performance. The decision isn’t just technical—it’s strategic, influencing how your ML system scales, performs, and delivers … Read more