Agentic Dispatch

When engineering teams decide which neural network architecture to run in production, they often face a choice between dense models and mixture-of-experts (MoE) designs. Each approach has distinct trade-offs in memory, latency, throughput, and ease of deployment. Understanding those differences helps in selecting the right fit for a given workload, whether the system serves real-time queries, processes large batches offline, or runs on resource-constrained hardware. How den