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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.
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
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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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On November 3, 2026, NVIDIA announced that it is expanding physical AI and agentic services for cities globally with partners, covering resident assistance, traffic management, urban planning, and industrial operations, while allowing local governments to retain control over the processing and use of sensitive data. The portfolio is built on shared computing infrastructure, AI agents, and digital twins, and city teams can start with NVIDIA RTX workstations or small GPU systems. The report mentioned that ITMAX's SamurAI V2 visual agent is planned to support more than 17,000 camera feeds by 2027, and TeraSim-based signal timing testing reduced corridor travel time during peak hours by up to 26%. On November 4, LiveX AI released the AI City life-size AI virtual human guide kiosk, which has already been deployed at more than 100 sites; the platform runs on Nvidia RTX Pro 6000 Blackwell Server Edition GPUs and builds visual AI agents based on the Metropolis VSS Blueprint and Cosmos. On the same day, Linker Vision released the Linker AI Nexa platform at the 2026 Smart City Expo World Congress in Barcelona, integrating 3DGS, digital twins, and AI Agents, and incorporating technologies such as Nvidia Metropolis, Cosmos, Omniverse, and Nemotron.
On November 3, 2026, NVIDIA announced that it is expanding physical AI and agentic services for cities globally with partners, covering resident assistance, traffic management, urban planning, and industrial operations, while allowing local governments to retain control over the processing and use of sensitive data. The portfolio is built on shared computing infrastructure, AI agents, and digital twins, and city teams can start with NVIDIA RTX workstations or small GPU systems. The report mentio
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On November 3, 2026, NVIDIA announced that it is expanding physical AI and agentic services for cities globally with partners, covering resident assistance, traffic management, urban planning, and industrial operations, while allowing local governments to retain control over the processing and use of sensitive data. The portfolio is built on shared computing infrastructure, AI agents, and digital twins, and city teams can start with NVIDIA RTX workstations or small GPU systems. The report mentioned that ITMAX's SamurAI V2 visual agent is planned to support more than 17,000 camera feeds by 2027, and TeraSim-based signal timing testing reduced corridor travel time during peak hours by up to 26%. On November 4, LiveX AI released the AI City life-size AI virtual human guide kiosk, which has already been deployed at more than 100 sites; the platform runs on Nvidia RTX Pro 6000 Blackwell Server Edition GPUs and builds visual AI agents based on the Metropolis VSS Blueprint and Cosmos. On the same day, Linker Vision released the Linker AI Nexa platform at the 2026 Smart City Expo World Congress in Barcelona, integrating 3DGS, digital twins, and AI Agents, and incorporating technologies such as Nvidia Metropolis, Cosmos, Omniverse, and Nemotron.
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View story:NVIDIA and partners expand physical and agentic AI services for cities