Where to deploy AI inference: pricing tool

In a recent report Where to deploy AI inference: a guide to economics, Uptime Intelligence examined how the economics of AI inference vary across on-premises infrastructure, colocation, public cloud infrastructure and managed cloud platforms. While application performance is often the primary factor in determining where to deploy inference workloads, cost remains a decisive consideration in workload placement.

To compare costs across deployment models, the above report uses a hypothetical but realistic inference use case. The goal is to provide a consistent basis for comparing the cost of different deployment approaches.