Choosing where to run AI inference requires balancing cost, latency, scalability, and data sovereignty. This whitepaper compares public cloud, on-premises, colocation, and edge environments, then provides a practical framework for matching workloads to the right runtime. Make better infrastructure decisions as demand, regulations, and model requirements continue evolving globally.