Mastering Kubernetes Orchestration for Large Language Models: A Comprehensive Zero‑to‑Hero Guide
Introduction Large Language Models (LLMs) such as GPT‑4, LLaMA, and Falcon have moved from research curiosities to production‑grade services powering chatbots, code assistants, and enterprise analytics. Deploying these models at scale is no longer a one‑off experiment; it requires robust, repeatable, and observable infrastructure. Kubernetes—originally built for stateless microservices—has evolved into a de‑facto platform for orchestrating AI workloads, thanks to native support for GPUs, custom resource definitions (CRDs), and a thriving ecosystem of operators and tools. ...