Source: abcrnews.com
In recent years, artificial intelligence (AI) has moved from research labs into enterprise applications, consumer products, and real-time decision-making systems. As organizations adopt AI at scale, the challenge often shifts from model training to deployment and inference. Deploying models in production requires handling unpredictable workloads, optimizing costs, and ensuring low-latency responses. Traditional infrastructure approaches, however,
