Voice AI in Production: From RunPod to Hosted Kubernetes

Your voice model works in a demo. The same model in production stalls under concurrent load. The model file is identical. So is the GPU card. Only the deployment changed. If your TTS service runs on a single RunPod pod, you've already met this wall. You handle one request per GPU at a time. A crash costs ninety seconds to reload the model. Failover isn't in the setup. Your marketing page says "generate narration instantly." Your infrastructure says "please form an orderly queue." The gap between