---
type: "raw_signal"
id: "canary-rollouts-upgrade-models-in-production-without-downtime-8bf998"
slug: "canary-rollouts-upgrade-models-in-production-without-downtime-8bf998"
title: "Canary rollouts: upgrade models in production without downtime"
description: "Together AI describes canary rollouts for dedicated production inference: instead of exposing every user to a hard model swap, teams can ramp traffic to a new deployment in stages, apply metric gates, and automatically roll back when conditions fail."
retrieval_nugget: "Together AI describes canary rollouts for dedicated production inference: instead of exposing every user to a hard model swap, teams can ramp traffic to a new deployment in stages, apply metric gates, and automatically roll back when conditions fail."
observed_at: "2026-09-23"
record_date: "2026-09-23"
date_kind: "observed_at"
why_it_matters: "Together AI describes canary rollouts for dedicated production inference: instead of exposing every user to a hard model swap, teams can ramp traffic to a new deployment in stages, apply metric gates, and automatically roll back when conditions fail. The operational objective is to validate an upgrade under real traffic while limiting blast radius and avoiding a pressured restart of the prior depl"
novelty: "notable"
verification_level: "source-linked"
signal_type: "research"
source_platform: "together.ai"
topics: []
entities: []
related_patterns: []
source_url: "https://www.together.ai/blog/canary-rollouts-upgrade-models-in-production-without-downtime"
source_urls: ["https://www.together.ai/blog/canary-rollouts-upgrade-models-in-production-without-downtime"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:canary-rollouts-upgrade-models-in-production-without-downtime-8bf998"
status: "published"
visuals: []
routes: {"html":"https://newruntime.com/signals/canary-rollouts-upgrade-models-in-production-without-downtime-8bf998/","markdown":"https://newruntime.com/signals/canary-rollouts-upgrade-models-in-production-without-downtime-8bf998.md","json":"https://newruntime.com/signals/canary-rollouts-upgrade-models-in-production-without-downtime-8bf998.json"}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
---

# Canary rollouts: upgrade models in production without downtime

## Retrieval answer

Together AI describes canary rollouts for dedicated production inference: instead of exposing every user to a hard model swap, teams can ramp traffic to a new deployment in stages, apply metric gates, and automatically roll back when conditions fail.

Together AI describes canary rollouts for dedicated production inference: instead of exposing every user to a hard model swap, teams can ramp traffic to a new deployment in stages, apply metric gates, and automatically roll back when conditions fail. The operational objective is to validate an upgrade under real traffic while limiting blast radius and avoiding a pressured restart of the prior deployment.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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