Building a Production ML Inference Stack with KServe, vLLM, and Karmada

Your ML models work perfectly in development. The inference latency looks great, the throughput numbers hit your targets, and your team is ready to ship. Then production reality hits: you need to serve this model across three regions, handle failover...