AI Inference
Kubernetes Did Not Miss the AI Wave. It Absorbed It
Enterprise AI is settling onto the cloud native stack, and the strongest evidence is not a vendor roadmap. It is what the ecosystem has already standardized ...
Alan Shimel | | AI gateways, AI Inference, AI infrastructure, AI observability, AI operations, cloud native, cloud native AI, cncf, Dynamic Resource Allocation, enterprise AI, gateway API, generative AI, GPU scheduling, kubernetes, Kubernetes AI, Kueue, llm-d, model routing, model serving, platform engineering
Stop Wasting GPU Budget: Autoscaling AI Inference on Kubernetes with KEDA
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 ...

