As enterprises scale their generative AI initiatives, choosing the right infrastructure strategy becomes crucial for maximizing performance, cost-efficiency, and data control. The evolving landscape of AI models, including the trend towards smaller, more efficient architectures, presents new opportunities and challenges in infrastructure decisions that can significantly impact an organization's AI success and competitive edge.

•      Conducting comprehensive TCO analyses comparing on-prem, cloud, and hybrid infrastructure options

•      Exploring smaller, domain-specific AI models to reduce computational demands and costs

•      Implementing flexible infrastructure strategies that adapt to evolving AI model architectures