When is cloud inferencing the right call?

Cloud inferencing makes sense when a task requires the absolute frontier of LLM capability, when the data being inferred over is already public, when latency is not critical, or when cost per token is below the marginal cost of running a local model at low volume. Centralpoint routes these cases automatically per policy. The pla