Ten years after Kubernetes launched, AI agents and LLM inference have upended three of its core assumptions: how GPUs are allocated, how autoscaling decisions are made, and how model serving is built. Here's how to rethink your K3s cluster with Dynamic Resource Allocation, KEDA, and KServe.
Generative AI has made it possible for almost anyone to write code, yet as more companies adopt AI, demand for MLOps talent who can reliably run GPUs and model serving on Kubernetes keeps rising. Here's why, and how a managed Kubernetes platform can help.
As AI automates infrastructure, are DevOps engineers really becoming irrelevant? The reality is the opposite — demand for MLOps Kubernetes talent is surging. Here are the 5 skills you need in 2026.
CNCF's 2026 survey shows 66% of GenAI organizations run on Kubernetes. From GPU scheduling to multi-tenancy and cost optimization — here's why K8s has become the de facto AI platform, and how managed K8s can cut your build time to zero.