Introduction As AI adoption accelerates across enterprises, startups, and cloud-native organizations, serving machine learning and generative AI models efficiently has become a major operational challenge. Large Language Models, multimodal AI systems, computer vision workloads, and AI agents often experience unpredictable traffic spikes that can overwhelm static infrastructure. Overprovisioning resources leads to excessive cloud costs, while Read More