# Nvidia adds AI workload inventory to cluster deployment recipes

_Published Wednesday, November 11, 2026 at 12:22 PM EST · Infrastructure, Security · Latest · Tier 2 — Notable_

![Nvidia adds AI workload inventory to cluster deployment recipes — Primary](https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image1-7.webp)

Nvidia says its open-source AI Cluster Runtime now includes a qualified component for inventorying AI workloads on Kubernetes. Two standard deployment recipes select Google's k8s-aibom by default, while other Google Kubernetes Engine recipes can opt in.

The integration records recognized workloads, including models and inference runtimes, to help security reviews and incident response. Inventory reporting requires a namespace opt-in, but the controller still caches workload and pod specifications across the cluster, including inline environment values. Its records can appear before a pod runs, so they do not prove successful scheduling or execution.

## Sources

- [NVIDIA Technical Blog](https://developer.nvidia.com/blog/validating-gpu-platforms-with-runtime-ai-inventory-via-the-nvidia-dsx-ai-factory/)

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Canonical: https://techandbusiness.org/newswire/UQPRnlkvFwhin0-nQzUYOJ
Published: 2026-11-11T17:22:22.307Z
Story chronology: 2026-11-11T17:00:00.000Z
Retrieved: 2026-11-12T01:08:26.627Z
Publisher: Tech & Business (techandbusiness.org)