Agent Substrate: Advancing Kubernetes for Agents at Scale
Agent Substrate: Advancing Kubernetes for Agents at Scale
Agent Substrate addresses the inefficiency of Kubernetes when running AI agents by sharing Pod resources to reduce idle waste and maintain agent states, shortening cold start time by 3.5 times compared to traditional methods. The framework has been donated to the Linux Foundation to support large-scale agent deployment.
AI agents spend most of their time idle, waiting on a human prompt, a tool result or a model response. Kubernetes wasn’t built for that. Running one Pod per...
AI agents spend most of their time idle, waiting on a human prompt, a tool result or a model response. Kubernetes wasn’t built for that. Running one Pod per session holds memory for sessions that aren’t doing anything, and deleting Pods between turns pays a multi-second cold start every time and loses the agent’s state. RL post-training hits the same wall. Agent Substrate, now donated to the…
Source: NVIDIA Technical Blog · developer.nvidia.com