Cohere maps when dedicated Embed and Rerank inference pays off
Cohere has published a workload-based framework for choosing shared or dedicated Embed and Rerank inference. Its analysis shows request shape, token volume, candidate depth, traffic consistency and latency targets matter more than requests per minute alone, with illustrative break-even points ranging from four requests to tens of thousands per minute.