High-volume AI inference and model serving can quickly become a significant expense in the cloud. This article dives deep into practical strategies and architectural considerations to help you drastically cut down on your cloud spend without compromising performance or reliability. From instance selection to advanced model optimization techniques and robust infrastructure practices, we’ll equip you with the knowledge to build a cost-efficient AI deployment.