Beyond Containers: Replicate and Modal's Kubernetes 1.34 AI Architecture

This technical breakdown reveals how production-grade AI platforms architect their infrastructure on Kubernetes 1.34, showcasing real-world GPU orchestration patterns and scaling strategies that are becoming industry standards. Understanding these architectural patterns is crucial for developers evaluating deployment options for AI workloads, as it demonstrates how different approaches—from containerization-first (Replicate) to code-first (Modal)—leverage the same Kubernetes capabilities. The insights into GPU management, resource isolation, and dynamic scaling illustrate the evolving best practices for managing inference at scale.