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Photo by Google DeepMind on Pexels Scaling Generative AI Applications in the Cloud Introduction Generative AI applications, which include large language models (LLMs), image generators, and other advanced AI systems, demand significant computational resources. Scaling these applications in the cloud requires a strategic approach that considers infrastructure, model optimization, and efficient resource management. This tutorial outlines the key considerations and best practices for scaling generative AI applications in a cloud environment, an integral part of Generative AI Implementation. Understanding the Challenges of Scaling Generative AI Scaling generative AI differs significantly from scaling traditional software applications. The primary challenges stem from: Computational Intensity: Training and inference of generative models require substantial processing power, o...