# Cohere explains shared vs dedicated inference for embed and rerank models

> Cohere's Oct 9, 2026 blog details how users can run embed and rerank services on shared or dedicated compute.

Oossa · 2026-10-09 · https://oossa.com/en/cohere-explains-shared-vs-dedicated-inference-for-embed-and-rerank-models

Event date: 2026-10-09

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.

## The facts

- Oct 09, 2026 – blog publication date
- Cohere – company publishing the guide

## Why it matters

Choosing the right inference mode lets developers balance price and speed for their search or recommendation applications.

## Sources & references

1. [Shared or dedicated inference for Embed & RerankOct 09, 20267 min read](https://cohere.com/blog/shared-or-dedicated-inference-for-embed-rerank) – Cohere, 2026-10-09

Last updated: 2026-10-09