Learn how to overcome GPU scarcity and scale AI inference workloads across multiple Kubernetes clusters in this 30-minute conference talk from CNCF. Discover the Multi-Cluster Inference Gateway, an open-source solution that dynamically routes AI inference traffic to available GPU resources across distributed clusters using Gateway API and multi-cluster patterns. Explore practical deployment strategies for maximizing GPU utilization, optimizing costs, and maintaining high availability for AI workloads that exceed single-cluster capacity. Gain insights into real-world implementation examples that demonstrate how to minimize latency while scaling AI serving infrastructure beyond traditional cluster boundaries, enabling intelligent traffic distribution based on resource availability across your distributed AI infrastructure.