Shipping a new LLM inference version to 100% of traffic at once is risky. Canary release routes a small slice of traffic to the new version, verifies stability and ramps up gradually.
Key components: the API gateway handles traffic splitting and weights; Kubernetes runs old and new side by side via multi-version Deployments; GPU pods schedule onto accelerator nodes via affinity.
Pair this with observability — track latency, error rate and token throughput, and auto-rollback on anomalies. CnCloud can help you build a full canary pipeline on AWS / GCP.