Cohere Publishes Guidance on Shared vs Dedicated Inference for Embed and Rerank
Cohere published a blog post explaining how to choose between shared, consumption-based inference and dedicated, provisioned inference for Embed and Rerank workloads. It argues request shape matters more than request volume, that traffic patterns determine cost efficiency, and that break-even depends on request size, token volume, and reranking candidate count rather than infrastructure pricing alone.
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