Cohere published a blog on Oct 9, 2026 describing two ways to run its embed and rerank models. Users can choose shared inference, where many customers share the same compute, or dedicated inference, where a single customer gets its own hardware. The post outlines cost and performance trade‑offs for each option. It helps developers decide which setup fits their workload.
Why it matters
Choosing the right inference mode lets developers balance price and speed for their search or recommendation applications.
