Stop Wasting GPU Budget: Autoscaling AI Inference on Kubernetes with KEDA (opens in new tab)

The rush to deploy Large Language Models (LLMs) and generative AI has created a massive infrastructure bottleneck. Platform engineering teams are spinning up expensive GPU node pools on Kubernetes, but they are quickly realizing a painful truth: standard Kubernetes scaling mechanisms were not built for AI. When an AI inference The post appeared first on .