A hard model swap exposes every user at once, and rolling back means cold-starting the old deployment under pressure. Here's how staged traffic ramps, metric gates, and automatic rollback work on dedicated inference.
Read the original at Together AI blog: Canary rollouts: upgrade models in production without downtime
Source: https://www.together.ai/blog/canary-rollouts-upgrade-models-in-production-without-downtime



