The Runtime Journal

When a team prepares to deploy a language model for production inference, one of the first architectural decisions they face is whether to use a dense model or a mixture-of-experts (MoE) approach. Both have proven themselves in research and real-world use, but they behave very differently under the load and latency constraints of a production service. Understanding the trade-offs helps engineers choose the right path for their workload, budget, and performance targets. Dens