FreeLLMNVIDIA Deploys AI Factory Operations Agent on DGX H100, B200, GB300 Clusters
NVIDIA announced an AI Factory Operations Agent that runs on‑premises across its DGX H100, DGX B200, and DGX GB300 production clusters.
NVIDIA announced an AI Factory Operations Agent that runs on‑premises across its DGX H100, DGX B200, and DGX GB300 production clusters.
The agent follows the NemoClaw blueprint, uses OpenShell for sandboxed execution, and relies on locally served Nemotron open models for inference.
Specialized sub‑agents cover domains such as Job Recovery, Hardware, Observability, Research, Kubernetes, and Cluster Management, communicating via the Model Context Protocol (MCP).
Users interact through a chat interface that routes queries to the appropriate domain agent, presenting recommendations and audit trails for site reliability engineers.
The framework is deployed as a Kubernetes control‑plane application with Helm, and enforces security through read‑only credentials, RBAC, and per‑session sandboxing.
What it means for you
For AI operators, the agent promises faster fault diagnosis and reduced manual effort by consolidating multi‑layer data into a single chat view. For developers of free or locally hosted models, the on‑premises design showcases a path to build similar agent ecosystems without relying on cloud services.
Sources
- How NVIDIA Uses AI Agents to Streamline AI Factory Operations, NVIDIA Developer (official), 4 Nov 2026
Written automatically from the sources above, then checked by our code: every number and name must appear in them, and no sentence may copy a source. Spotted a mistake? Report it.
Which AI can you use for free today?
Every free AI model, ranked by blind human votes, with the memory and speed it needs on your own GPU.