Modern AI systems, LLM-powered applications, and data-intensive platforms generate enormous value — but they also generate enormous cloud bills. As organizations scale their machine learning pipelines, vector databases, real-time analytics, and GPU-heavy inference workloads, cloud costs can quickly spiral out of control. The result is familiar:...