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NVIDIA has released the AI Factory Operations Agent for operating and maintaining its own DGX SuperPOD. The framework coordinates multiple domain sub-agents to pinpoint root causes across the compute, network, hardware, and scheduling layers, and provides recommendations through a chat interface. The framework is built on the NVIDIA NemoClaw blueprint and OpenShell, is fully deployed on-premises, uses the local open-source NVIDIA Nemotron model for inference, and runs on DGX H100, DGX B200, and DGX GB300 production clusters. The framework includes sub-agents such as Job Recovery, Hardware, Observability, Research, Kubernetes, and Cluster Management, and integrates MCP tools such as web search, code execution, and Grafana dashboards. Developer examples and open-source code are now available.
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- Source:NVIDIA Developer · Generative AI
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Nov 5
NVIDIA Developer · Generative AIFirst-partySelected
NVIDIA Releases AI Factory Operations Agent to Troubleshoot DGX Cluster Failures with Multi-Agent Collaboration
NVIDIA has released the AI Factory Operations Agent, which collaborates through multiple domain sub-agents to locate root causes across the compute, network, hardware, and scheduling layers, and provides recommendations through a chat interface for its own DGX SuperPOD operations. The framework is built on the NVIDIA NemoClaw blueprint and OpenShell, is fully locally deployed, uses the local open-source NVIDIA Nemotron model for inference, and runs on DGX H100, DGX B200, and DGX GB300 production clusters. The framework includes sub-agents such as Job Recovery, Hardware, Observability, Research, Kubernetes, and Cluster Management, and integrates MCP tools such as web search, code execution, and Grafana dashboards. Developer examples and open-source code are now available.