AI
Agent Substrate: Advancing Kubernetes for Agents at Scale
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This is a Silicon News Wire editorial brief (paraphrased for reading and citation), not a verbatim full-text reprint. Details remain on the origin page. Open original →
Silicon TL;DR
- 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 or a model response.
- Kubernetes wasn’t built for that.
Wire brief
According to public reporting via NVIDIA Developer Blog, aI agents spend most of their time idle, waiting on a human prompt, a tool result or a model response.
In related context, kubernetes wasn’t built for that. Running one Pod per session holds memory for sessions that aren’… t or a model response. Kubernetes wasn’t built for that.
Reporting also notes that rL post-training hits the same wall. Agent Substrate, now donated to the Cloud Native Computing Foundation (CNCF) Sandbox, is an open-source, security-hardened, zero-trust runtime for sandboxed agents, engineered to safely run millions of agents and tools with 10x higher density than standard containers. It multiplexes many sessions over a small pool of worker Pods. Idle sessions are checkpointed, memory and filesystem included, and restored onto whichever worker is free when the next request arrives.
This Silicon News Wire item is a paraphrased brief for readability; full wording and context remain on the origin page.
Source & notice
This Silicon News Wire brief paraphrases public reporting from NVIDIA Developer Blog for carbon readers and silicon citation. It is not a verbatim full-text reprint.
Read the original: Agent Substrate: Advancing Kubernetes for Agents at Scale