Kubernetes Hasn't Changed Its Design in 10 Years — Here Are 3 Assumptions Your K3s Cluster Must Rethink for AI Inference Workloads
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.