AI Inference Strategy: Cloud, On-Prem, or Neo-Cloud?

Multi-modal Generative AI Inference Clusters: Strategies for Enterprise Deployment 

The rapid adoption of open-source AI models marks a pivotal moment for business leaders. The initial excitement about trying out large language models (LLMs) is giving way to a more practical question: where should our AI inference capacity be primarily located? The answer isn't straightforward, as it impacts cost, performance, security, and scalability. Making the right decision requires understanding the trade-offs between public cloud, on-premises infrastructure, and an expanding category of "neo-cloud" providers.