Design production architectures spanning AI inference, Kubernetes, CPUs and GPUs, model serving, intelligent routing, multicloud, distributed cloud, edge, security, observability, and resilient execution across models, providers, regions, and capacity pools. As enterprise AI moves into production, customers must solve two increasingly important problems: continually lower the cost of delivering verified business outcomes and maintain resilient access to the models and capacity required to run their businesses.