

The Kubernetes for AI Paradigm
Native K8s orchestration is evolving to handle GPU scheduling, checkpointing, and live migration at the scale that AI demands.


Native K8s orchestration is evolving to handle GPU scheduling, checkpointing, and live migration at the scale that AI demands.


Don't lock into one vendor. Learn how to use an abstraction layer to route training and inference workloads to the cheapest available capacity across hyperscalers and neoclouds.


Your beloved stateless Kubernetes architecture is fundamentally at war with the massive, stateful memory requirements of long-context LLM inference. We need a truce.


Agents are stateless. Their memory is not. Scaling the LLM reasoning loop is trivial compared to solving the transactional concurrency of agent memory on Kubernetes.